Machine Learning

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a data-driven environment where optimization and analytics play a central role in improving decision-making. In this role, you will work hands-on with production-grade optimization models and help evolve them from robust analytical tools into scalable, reliable solutions used in practice. The work spans the full flow from data wrangling and model development to deployment, monitoring, and stakeholder dialogue. You will operate in a cross-functional setting and help connect business needs with technical solutions in a domain where complex data, cloud platforms, and advanced modeling come together. This is a strong opportunity for you who enjoy combining discrete optimization, machine learning, and production-ready engineering in one role. Job DescriptionYou will maintain and improve existing optimization models by identifying weaknesses, refining logic, and scaling performance. You will develop and support production-grade solutions for optimization and analytics, with a focus on robustness, maintainability, and efficiency. You will prepare, transform, and enrich data by improving data wrangling pipelines and integrating additional data sources. You will present model outputs and analytical insights to stakeholders and translate business needs into technical approaches. You will monitor and maintain deployed solutions on GCP to ensure stable and efficient performance over time. You will collaborate closely with Data Scientists, ML Engineers, and Product Managers to improve model reliability, scalability, and impact. You will contribute to deployment, monitoring, and lifecycle management practices for machine learning models. You will perform ad hoc analyses and build visualizations that support data-driven decisions across teams. RequirementsStrong experience with discrete optimization models, including Linear Programming, Integer Programming, or Mixed Integer Programming. Proven experience developing and deploying machine learning models in the cloud, preferably on GCP. Solid Python skills and the ability to write clean, efficient, modular, production-ready code that is easy to maintain and test. Strong SQL skills for data manipulation and analysis. Experience building robust data wrangling, aggregation, and preparation pipelines across diverse data sources. Familiarity with DBT for data transformation. Ability to work effectively in Agile, cross-functional teams. You communicate clearly with both technical and non-technical stakeholders and are comfortable working in complex problem domains. Nice to haveHands-on experience with MLOps and CI/CD pipelines. Experience working with Google Cloud Platform in production environments. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

Responsibilities: * Develop and deploy end-to-end microservices-based solutions for batch and real-time algorithms, including monitoring, logging, automated testing, and performance testing. * Design, implement, and optimize MLOps pipelines using tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes. * Collaborate with Data Scientists to enhance the ML model development process and ensure performance improvements. * Ensure scalability, maintainability, and robustness of deployed machine learning models. * Monitor and troubleshoot ML model performance and infrastructure issues in production (experience with Prometheus and Grafana is valuable). * Support and enhance ML software infrastructure, including CI/CD, data storage, cloud services, security, and system monitoring. * Work with cloud platforms, particularly GCP and Azure, to optimize resource allocation and costs. * Stay up to date with the latest trends and best practices in MLOps. Qualifications: * Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. * 5+ years of experience as a Machine Learning Engineer or in a similar role. * Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn. * Strong understanding of MLOps best practices and tools, including Kubeflow, Seldon, MLFlow, Docker, and Kubernetes. * Experience working with cloud platforms, especially GCP. * Knowledge of data processing, ETL, and feature engineering techniques. * Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. * Excellent communication and interpersonal skills.

Assignment description We are looking for a Data Scientist for our customer. Job description: We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform. Responsibilities •Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements. •Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle. •Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance. •Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs. •Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model. •Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models. •Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams. Required Skills •Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming) •Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution). •Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test. •Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis. •Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation. •Comfortable working in Agile, cross-functional teams. •Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.  Required cloud certification: No

Turn ship physics into software people actually use At Cetasol we build the monitoring and analytics platform that commercial fleets use to cut fuel consumption, understand how their vessels really perform, and stay on the right side of CII and EU MRV reporting. A growing part of that platform is predictive maintenance: catching when an engine, generator, thruster, or the vessel as a whole starts behaving differently than it should, before it becomes a failure. Getting there takes two things that rarely live in the same person: an understanding of the physics behind how these assets actually behave, and the engineering skill to ship that understanding as a working product. We're looking for that person. What you'll do Build physical and data-driven models of vessel assets — engines, generators, thrusters, and the ship as a whole — that capture what "normal" operation looks like Detect when an asset deviates from its expected behaviour, and trace that deviation back to the sensors and signals driving it Work with noisy, real-world sensor data from vessels: clean it, validate it, and decide what it can and cannot support Take your own models from notebook to production on AWS, and build the React interfaces where the results actually land in front of customers Own features end to end, with our UX designer, full stack developers and data scientist alongside you Help us decide where a first-principles model beats a statistical one, and where it doesn't What we're looking for The balance here is genuinely 50/50. You should be comfortable deriving a model and deploying it. On the modelling side: Strong applied mathematics, physics or engineering foundation — fluid dynamics, thermodynamics, control theory, numerical methods, or similar Experience with anomaly detection or condition monitoring on physical systems — knowing how to separate a genuine fault signature from normal operating variation Solid Python and the usual scientific stack; experience with time series and sensor data The judgement to know when a model is good enough and when it's fooling you On the engineering side: Practical experience building and running services on AWS Comfortable in React and modern frontend work — you don't need to be a specialist, but you should be able to build the view your model deserves Familiarity with the ordinary craft of software: version control, testing, code review, CI And: You explain technical work clearly to people who aren't specialists You're happy to sit somewhere between disciplines rather than in the middle of one We're open on years of experience. If you can do the work, the title follows. Nice to have Predictive maintenance or condition-based monitoring · maritime, automotive, aerospace or energy domain experience · digital twins or physics-informed machine learning · edge computing or embedded data collection Why Cetasol Shipping accounts for roughly 3% of global CO₂ emissions, and a meaningful share of that is avoidable through better operational decisions. The work here is technically interesting and the impact is measurable in tonnes of fuel. You'd be joining a small engineering team where your work is visible and your scope is wide. We're based in Gothenburg and work hybrid — we value time in the same room, without counting days.

⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟 Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Software Engineer to join our Asset Optimisation domain. 👩‍💻 About The Role Our optimization services decide how Flower's flexibility and renewable portfolios are allocated across energy and balancing markets, from days in advance, continuously updating right up to delivery. Our systems run fully automated and dispatch hundreds of MWs of flexible capacity to where the grid or market needs it most. As a Software Engineer, you will join a quant-heavy team of data scientists, optimization engineers and energy market experts. Your focus is the engineering side of these services: architecture, tooling, reliability, system interfaces, observability. This is a hands-on role - you will write code every day and own the standards and foundation the rest of the team builds on. What You'll Do Own the structure and quality of our optimization codebase - architecture, refactoring, testing - and set the engineering bar the team works to Ensure the optimization stack holds up as we scale our portfolio to GW-scale and new geographies Standardize what is currently bespoke, and decide what has to be rebuilt versus hardened Handle reliability and edge cases in the trading path, define graceful failure modes - for example, what should happen when a bid submission fails halfway through? Define interfaces towards other teams and take part in those discussions on behalf of the team Own our optimization environments, infosec hygiene & testing infra across our services Maintain and improve CI, deployments, observability and alerting Who You Are ~ 3–7 years of experience building and running software in production Fluent in Python and related tooling (uv, prek, ruff, ty, FastAPI, Pydantic, DuckDB) Experience managing quantitative models in production (simulation, optimization, heavy batch compute, ML workloads) Experience with AWS (Modal is a plus) Hands-on across the stack, from architecture down to repo settings, pipelines and environments, and the occasional internal frontend Solid instincts for system design and API boundaries, comfortable having these conversations with adjacent teams Pragmatic - you can tell a bad idea from a good one on your own, and you know when good enough is good enough Motivated to work in energy markets & in a trading environment 📍 Location Our beautiful office is located in the heart of Södermalm, just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have about 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the Talent Partner, the Head of Predictions & Asset Optimization, our Product Manager, the Team for a tech assessment and the VP of Engineering. We look forward to hearing from you! —- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.

📊 Senior Data Scientist Are you passionate about building production-grade optimization models and solving complex business problems with data? We are looking for a Senior Data Scientist for an exciting consulting assignment in Stockholm. You'll join a cross-functional team where you'll help develop, maintain, and scale advanced optimization solutions in a modern cloud environment. 🚀 About the Role As a Senior Data Scientist, you will work with advanced optimization, machine learning, and analytics to improve business processes and decision-making. You will collaborate closely with Data Scientists, ML Engineers, Product Managers, and other stakeholders to deliver scalable, production-ready solutions. Key Responsibilities Develop, maintain, and improve production-grade optimization models. Build and enhance Linear Programming and Mixed Integer Programming solutions. Prepare, transform, and integrate data from multiple sources. Develop robust data wrangling and aggregation pipelines. Deploy, monitor, and maintain machine learning solutions in Google Cloud Platform. Implement MLOps best practices and CI/CD pipelines. Perform data analysis and create insights to support business decisions. Present analytical findings and collaborate with stakeholders to translate business needs into technical solutions. Work in Agile cross-functional teams to continuously improve performance and scalability. ✅ Requirements Strong experience with Linear Programming and/or Mixed Integer Programming. Proven experience developing and deploying machine learning solutions in cloud environments, preferably Google Cloud Platform (GCP). Excellent Python programming skills with experience writing clean, modular, and production-ready code. Strong SQL skills for data manipulation and analysis. Experience with MLOps, CI/CD, and production deployments. Experience working with DBT and data transformation. Strong analytical and problem-solving skills. Experience working in Agile environments. Excellent communication and collaboration skills. Professional proficiency in English. 🌟 We believe you are Analytical and solution-oriented. Comfortable working with complex datasets and optimization problems. A collaborative team player who enjoys sharing knowledge. Passionate about building scalable and reliable data solutions. 📍 Location: Stockholm 📅 Assignment Period: 2026-08-17 – 2027-03-31 🕒 Extent: Full-time (100%) 🏢 Work Model: Hybrid (up to 30% remote) Sway Sourcing är en innovativ rekryteringspartner som specialiserar sig på att matcha rätt talang med rätt företag – snabbt och effektivt. Vårt huvudfokus ligger inom Ekonomi, Administration, HR, Marknad och IT, men vi har även den breda expertis och flexibilitet som krävs för att leverera skräddarsydda rekryteringslösningar inom alla branscher. Trots att vi är en relativt ny aktör har vi redan byggt förtroende hos många av Sveriges största företag och arbetar både nationellt och internationellt. Med baser i Sverige och Spanien erbjuder vi en unik kombination av lokal expertis och global räckvidd. Vårt starka nätverk och djupa branschinsikter gör oss till en självklar partner för företag som vill ligga steget före i sin rekrytering.

Job Description WHAT YOU’LL DO Do what you love and help us drive change! As a Data Scientist at H&M, you’ll use machine learning, statistics and advanced analytics to solve complex business challenges within forecasting, planning and decision-making. Working closely with business and tech teams, you’ll turn large and complex data sets into insights and scalable solutions that create measurable business value. Contribute to the short- and long-term data science agenda within a product team Collaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create value Collaborate with machine learning and data engineers to design, build and deploy forecasting and machine learning solutions that support business planning and optimisation. Help colleagues and stakeholders understand machine learning models, data-driven insights and the decisions they support. Explore large, complex data assets to uncover insights that drive business value Support the development of tools and frameworks for common machine learning needs like model traceability, feature reuse, and A/B testing Be part of a cross-functional agile team of engineers, data scientists and business experts developing machine learning solutions that support forecasting and planning across H&M. WHO YOU’LL WORK WITH You’ll join a collaborative, cross-functional team of highly skilled engineers, data scientists and business stakeholders. Together, you’ll develop machine learning solutions that help improve forecasting and decision-making across H&M. WHO YOU ARE We are looking for people with… A degree in applied mathematics, statistics, physics, engineering, machine learning or a similar field and a strong desire to keep learning Solid foundational knowledge of machine learning and statistics, with the ability to apply these concepts to real business problems Experience developing and evaluating machine learning models using Python and commonly used data science libraries Understanding of the machine learning lifecycle, from problem definition and experimentation to model evaluation and deployment Experience working in cross-functional and agile environments, collaborating with both technical and business stakeholders Experience working with time series data, forecasting or optimisation problems is beneficial And people who are… Comfortable working with cloud platforms, like Google Cloud Hands-on and eager to understand business needs and turn them into technical solutions Always looking for ways to automate and simplify, taking initiative to improve products Strong team players who are result-oriented and driven to challenge and innovate WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices and sustainable solutions. We want to liberate fashion for many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale and our knowledge to push fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all H&M brands in stores and online. In addition to our staff discount, all our employees are included in H&M Incentive Program (HIP). 30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit SEK 4,000/year Benify Benefits Portal Community with activities JOIN US Our uniqueness comes from a combination of many things: our inclusive and collaborative culture, our strong values and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. Please note: That due to summer holiday periods, there may be longer response times and some delays throughout recruitment process. That we are not offering relocation support for this role, therefor we are primarily looking for candidates who are already living and working in Sweden. We are committed to a recruitment process that is fair, equitable and based on competency. We therefore kindly ask you not to attach a cover letter in your application.

We are looking for an AI Enablement Engineer. Your mission is to develop and improve our AI capabilities, and make these available across the company. As an AI Enablement Engineer, you will work with the design, implementation, and scaling of AI architecture and solutions. You will follow industry trends connecting the potential of AI with organizational functions. Working closely with senior stakeholders and cross-functional teams, you will ensure that technical solutions align with high impact opportunities and strategic business goal. By translating AI advancements into production-ready skills, agents, frameworks, data and process, you will drive the radical workplace productivity that will build AI into our corporate DNA and future-proof our organization. What you will be doing Define how AI solutions are structured, integrated, and scaled across our company, ensuring they are secure, maintainable, and built on solid data foundations Work closely with senior stakeholders to map processes, identify friction points, and prioritise where AI can drive the most meaningful productivity gains Build and maintain reusable assets that the whole company benefits from e.g. skill libraries, agent templates, integration patterns, and governance guidelines Monitor the evolving AI landscape and bring relevant advancements back into the organisation as practical, production-ready capabilities Contribute to building AI literacy and capability, to build AI confidence and embed an AI-first way of working Partner with Product Platform and Engineering teams to accelerate AI adoption with within the SDLC Ensure AI solutions meet production standards: secure, observable, and maintainable on our GCP stack What you will do the first 3-6 months in the role Get to know our company and where we are on our AI journey. Begin to influence our AI journey. Establish yourself as a key contributor for AI related matters and get a first few things into live use! Who are you? You are a solution-oriented and self-driven professional with a proactive attitude and a strong sense of ownership. You combine technical curiosity with a deep understanding of how a company functions, enabling you to navigate complex environments and collaborate effectively with both technical and non-technical stakeholders. You have the technical depth to implement the "how" using AI. You enjoy a fast-moving setting where priorities can shift, remaining calm and focused under pressure while championing a culture of continuous learning and innovation. Skills and Experience Software engineering background (not just ML theory) Hands-on experience with LLM APIs (Anthropic, Copilot, OpenAI etc.) Hands-on experience with Google Cloud AI (Vertex AI, Gemini, Bigquery etc) Experience from working with SaaS products, ideally from within the Retail software industry Good to have - experience from even driven Enterprise Architecture Strong communicator - comfortable running demos and writing docs, train the trainer Getting an idea of our Tech Stack We want to give you an idea of the technical landscape here at Extenda Retail. As a heavy adopter of cloud, we have solutions in Google Cloud Platform (Cloud Run, Pub/Sub, Vertex AI, Gemini). We embrace a reactive microservice architecture and utilize Kafka in Confluent Cloud. In our tech stack, you will also find GitHub Actions, Kubernetes, Jira, and Confluence. Our AI strategy is anchored in leveraging these tools to build a high-velocity, agent-first workforce. About Extenda Retail Extenda Retail is a leading SaaS provider within retail technology. Our solutions span from cutting-edge Warehouse Management Systems (WMS) and cloud native POS to unified commerce solutions with machine learning and loyalty solutions. We own the entire product lifecycle, from vision and creation to implementation and support, offering our clients a comprehensive and seamless experience. We are passionate about helping businesses optimize their operations, improve efficiency, and achieve sustainable growth.

Company description: Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm." Job description:  Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.   Your future team You will join the Data Science team composed of 35+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally. You will report to the Chapter Lead France or Sweden (depends one where you’ll be located). The AI Solution Engineer position will be located in Lyon or in Gothenburg and we are looking for several profiles in both locations. All positions are permanent contract in both locations.   What you will do At Volvo Group Digital Technology & Operations (DTO), you will contribute to the transformation of our company, the transport industry and society at large. In this role, you will enable the engineering of production-grade machine learning solutions, from understanding real business needs to industrializing, operating, and continuously improving ML and AI products at scale. You will collaborate with international stakeholders and product teams across Volvo Group domains, and take ownership of key technical decisions, architecture, and lifecycle management, including CI/CD, service deployment, orchestration, containerization, MLOps and model serving, while ensuring solutions align with security, governance, and regulatory requirements.    Who are you? Do you dream big? We do too, and we are excited to grow together. In this role, you will bring: Essential requirements  •    Strong programming skills with Python•    Hands-on experience with cloud engineering and platforms such as AWS, Azure, Google Cloud•    Solid experience with containerization and orchestration tools (e.g. Docker, Podman, Terraform)•    Strong experience with CI/CD (e.g. Azure Pipelines, Github Actions), deployment strategies, and git branching practices.•    Strong understanding of data science, machine learning and AI, including mathematical statistics•    Experience with microservices architecture and API development Nice to have•    Master key aspects of data science, machine learning and AI, including mathematical statistics•    Deep experience with LLMs, including retrieval, prompt engineering, evaluation, safety and cost performance tuning•    Experience delivering ML and AI in regulated environments with governance and audit requirements•    Domain experience with vehicle data, diagnostics, telematics, or quality and warranty analytics•    Leadership experience such as owning ML products end to end, mentoring, or leading practitioner communities   What’s in it for you?We offer a solid package of compensation and benefits, plus you will enjoy:•    A role where you can create measurable impact through Data and AI, including contributions to sustainability goals•    A collaborative, international community with 900+ data colleagues across seven countries•    Strong opportunities to grow through global, cross-functional work and end-to-end product ownership•    A culture that values openness, diversity in expertise and perspective, and co-creation   Ready for the next move?If you want to make a real impact in your career, the transportation business is where you want to be. We look forward to meeting you.   Swedish Union representatives:•    Akademikerna – Mikael Johansson, +46 73 902 34 30•    Unionen – Lajla Dahlsjö, +46 31 322 45 75•    Ledarna – Carina Sachade, +46 73 902 40 83 Last application date: 01 August 2026 We review applications and interview candidates on a rolling basis, so do not wait to apply. Please note that, due to the summer holiday period, our recruitment process may take a little longer than usual. We appreciate your patience and will get back to you as soon as possible. We value your data privacy and therefore do not accept applications via mail. In some countries and specific positions, background checks may be required, in accordance with local laws and regulations. If this is applicable to the role you have applied for, you will be informed.   Who we are and what we believe inWe are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Volvo Group Digital Technology & Operations (DTO) is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.

About the Role ManoMotion is looking for a highly skilled Computer Vision Engineer to develop robust, high-performance vision solutions for real-world applications. Our AI Engineers manage the day-to-day work related to neural-network architecture, training, testing, and data management. This role will work closely with them while focusing more deeply on the complete computer-vision system. You will combine machine learning with advanced image analysis, detection, tracking, geometry, filtering, and algorithmic methods to improve the accuracy, stability, latency, and reliability of our products. We are looking for someone who understands that a production-ready vision solution often requires more than a neural network. You should be able to identify model limitations and build additional processing, tracking, filtering, calibration, and decision logic around the AI models to achieve a reliable final product. You will also take technical ownership of customer solutions, from understanding requirements and designing the system to implementation, deployment, and validation. Responsibilities Design complete computer-vision solutions combining AI/ML, image processing, tracking, geometry, and rule-based algorithms. Develop algorithms for image analysis, object detection, segmentation, motion analysis, pose estimation, and tracking. Build pre-processing and post-processing layers around AI models to improve accuracy, stability, and robustness. Analyse failure cases and determine whether they should be addressed through model improvements, additional data, tracking, filtering, image processing, or system-level logic. Work closely with AI Engineers responsible for model architecture, training, testing, and datasets. Integrate trained models into reliable, real-time computer-vision systems. Optimize vision pipelines for latency, frame rate, memory usage, and edge hardware. Take end-to-end technical ownership of customer solutions and integrations. Participate in customer meetings, technical workshops, demonstrations, and on-site validation. Build maintainable, testable, and production-quality software. Use modern AI-assisted development tools such as Cursor, Claude, ChatGPT, Copilot, and other relevant tools to accelerate development, testing, debugging, and documentation. Stay updated on advances in computer vision, machine learning, and AI-assisted software development. Key Qualifications Master’s degree, PhD, or equivalent professional experience in Computer Science, Computer Vision, Electrical Engineering, Robotics, Machine Learning, or a related field. At least 3 years of professional experience developing computer-vision or AI-based products. Strong practical knowledge of image processing, object detection, segmentation, tracking, motion analysis, geometry, and camera systems. Good understanding of deep learning, neural-network training, model evaluation, and data management. Proven ability to combine machine-learning models with traditional computer-vision algorithms and system-level logic. Strong programming skills in Python and experience with OpenCV, NumPy, PyTorch, TensorFlow, or similar frameworks. Good knowledge of C++ and high-performance software development. Experience deploying and optimizing models using technologies such as ONNX, TensorRT, CUDA, OpenVINO, or similar tools. Experience developing real-time vision systems for edge devices or computationally constrained hardware. Strong debugging, problem-solving, and software-engineering skills. Ability to work independently and take ownership of complex technical solutions. Excellent English communication skills and confidence interacting directly with customers. Preferred Qualifications Experience with object tracking, temporal filtering, sensor fusion, or multi-camera systems. Experience with camera calibration, 3D geometry, depth estimation, or pose estimation. Experience with NVIDIA Jetson or other embedded GPU platforms. Experience in industrial, robotics, automotive, safety, or human-machine interaction applications. Experience working with challenging real-world conditions such as occlusion, poor lighting, motion blur, and changing environments. Experience with Docker, CI/CD, cloud platforms, MLOps, or model monitoring. The Profile We Are Looking For You are a strong problem-solver who enjoys turning advanced computer-vision technology into dependable products. You understand AI models and training, but your main strength is designing the complete system around the model. When the neural network alone is not enough, you know how to add tracking, filtering, image processing, geometric reasoning, calibration, and decision logic to make the final product work reliably. You are comfortable working across algorithms, software, hardware constraints, and customer requirements, and you take ownership of the overall result.

Xensam: Join the Future of SAM Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environments, helping users make smart, data-driven decisions and maximize software ROI. Recognized with the Highest Growth Award and ranked #3 Overall Champion at the Main Software 50 Awards Nordics, we’re scaling fast and looking for people who want to join the journey. At Xensam, you play a key role in a team built on energy, focus, and positivity. We value experience, but even more, the person behind it. Together, we build the future of SAM. About the role We're looking for an AI Enablement Engineer to help make AI a natural part of how we work at Xensam. In this role, you'll partner with teams across the business to identify opportunities where AI and automation can create real value. You'll design, build, and maintain AI-powered solutions that simplify workflows, improve productivity, and help our teams focus on what matters most. You'll work across Marketing, Sales, HR, Finance, Operations, Product, and Engineering, combining technical expertise with business understanding to turn ideas into practical solutions. This is a hands-on role with the opportunity to shape how AI is adopted across the entire company. Responsibilities Build and maintain AI-powered solutions and automations tailored to each department's needs, from document processing and customer support to internal knowledge management Drive AI adoption across the company by being accessible, patient, and practical. Help teams move from unfamiliar with AI to confident users Design and develop reusable AI components, prompts, and workflows that different departments can leverage Experiment, iterate, and evaluate new models, frameworks, and approaches. Stay ahead of the curve so we're not playing catch-up Automate intelligently by knowing when to use deterministic, repeatable processes and when to lean on AI for non-deterministic workflows and analytics Build and manage self-hosted AI infrastructure including open-source models (Llama, Qwen, etc.), inference APIs, RAG pipelines, vector databases, and the rest of the stack Build AI solutions on top of existing platforms like ChatGPT, Codex, and other commercial APIs, integrating them into internal workflows and tools Educate and mentor colleagues, running workshops/hackathons and creating documentation that makes AI accessible to everyone, regardless of technical background Partner with every department (operations, HR, finance, marketing, etc.) to understand their workflows and identify where AI or automations can add value Qualifications 3+ years of software development experience Strong experience with Python and API integrations Experience building solutions with LLMs and modern AI frameworks Experience working with RAG, vector databases, or agent frameworks Experience integrating commercial AI platforms such as ChatGPT, Codex, or similar Experience working with open-source AI models and inference platforms Comfortable working with Linux, Docker, and self-hosted environments Strong problem-solving skills and a passion for building practical solutions Excellent communication skills and the ability to collaborate with both technical and non-technical teams Fluent in English, both written and spoken Bonus points if you have Experience with workflow automation platforms (e.g. n8n, Make, Temporal) Experience with cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI) Experience with MLOps or deploying machine learning systems into production Experience fine-tuning or hosting open-source language models Contributions to open-source projects or a portfolio of AI side projects What you get A generous work culture with free drinks and snacks, office massages, and more. Three days in-office (with remote work on Mondays and Fridays). An opportunity to shape your career growth while contributing to the company’s success. A dynamic position embracing "freedom under responsibility". If sales targets are met, all employees enjoy an annual destination trip. Other location-specific benefits. Our values at Xensam Rebellious We challenge the norm and act with initiative – always with responsibility. Humane We foster a caring, inclusive environment that values diversity and respects individuality. Harmony We value balance and create a supportive workplace where people thrive. As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.

Artefact UK - H2 2026 Director Job Description WHO WE ARE Artefact is a new generation of data and AI consultancy, and one of the fastest growing. In the last six months alone we've grown from 2,000 to 2,500 people, now serving over 3,000 clients across 36 offices in 27 countries. Founded in 2014 and backed by Cinven, we're Europe's largest pureplay consultancy in data and AI, and we're not slowing down. We specialise in data consulting and AI-driven transformation, working with organisations across the globe to turn data into measurable business impact, creating real change in how businesses operate, compete, and grow. With 40% of our people in consulting roles, we have the critical mass to deliver full transformation at scale. We don't just offer strategies. We frame problems, design solutions, build the technology, and operate what we deliver. That distinction, between those who propose and those who implement, is central to how we work. We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach the mainstream. Half of our projects involve collaboration across more than two offices, so the expertise you need is never far away, and our teams bring together AI specialists, data scientists, data engineers, and digital experts: the full range of talent required to reach the last mile of a transformation. Progression here is earned, not timed. We don't run on tenure. We run on impact, and strong performers move fast. If you want to build things that matter, at a pace that matches your ambition, this is where you do it. WHAT WE DO Our UK office is at an inflection point. We've built the foundations of a category-defining consultancy, and now we're scaling, fast. The shape of the team a year from now will look very different to today. Join now, and you're building the office before Artefact becomes a name every top consultant already knows. We work across a broad range of industries, including Retail Banking, Insurance, Private Equity, Energy & Utilities, Retail & E-commerce, CPG & FMCG, and Automotive, giving consultants the space to build real depth in one or two areas while staying genuinely exposed to others. It's one of the things people here value most. Our engagements run end to end, from strategy and governance through to delivery of high value data and AI solutions. The problems we work on are the ones organisations are genuinely wrestling with right now: Data Platform Strategy and Build, Generative AI Strategy, Agentic AI Strategy & Deployment, AI Governance and Assurance, Digital Transformation, and AI Adoption and Change. This work needs people who can operate at a strategic level in the morning and get into the technical weeds in the afternoon, and know when to do which. If that's the kind of work you want to be doing, we'd love to hear from you. We're looking for people who are genuinely energised by AI and data, and who want a hand in shaping how organisations and how people work change for the better. WHAT YOU WILL DO As a Director at Artefact UK, you will operate at the intersection of AI and data strategy, client leadership, and commercial growth. Reporting to the Partners and Managing Director, you own the AI and data agenda across a portfolio of clients, with Tech Leads and Managers reporting to you and running the day-to-day delivery of the engagements within it. This is a role for someone who is equally comfortable shaping a client's AI strategy at board level and building the playbook that lets Artefact deliver it again, better, for the next client.   * Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture and implementation details with a client’s Principal Engineers and Data Scientists. * AI use case leadership: You will work with client management and Artefact teams to identify and prioritise the AI use cases that create genuine differential value, and lead their development end to end, from ideation through to deployment and continuous improvement. You will build and maintain a library of use cases and solution sets that can be reused and adapted across the wider client base. * Data and analytics capability building: You will assess clients' current data and analytics maturity, spot the opportunities for rapid enhancement, and turn what you learn into a playbook that can be repeated across new clients.  * Senior client advisory and stakeholder relationships: You will work closely with client cross-functional teams, spanning technology and business, to ensure AI solutions integrate cleanly into how the organisation actually runs. You will build strong relationships with key stakeholders across your clients, and create a community of data leaders that shares knowledge and best practice across the portfolio, positioning Artefact as a genuine partner in that network rather than a supplier to it. * Commercial ownership and business development: You will lead pitches end-to-end, shaping the proposition, directing proposal development, and leading client-facing pitches and RFP responses, and you will contribute to pipeline management and opportunity prioritisation across the broader practice. * Thought leadership, innovation and talent development: You will stay ahead of developments in AI and data analytics, bring cutting-edge solutions and a network of trusted advisors to your clients, and contribute insights and recommendations that shape Artefact's own AI and data strategy. You will mentor and support the development of data and AI talent at Artefact, with particular attention to growing the Tech Leads and Managers who report to you. THE KIND OF PERSON THIS WORKS FOR  The Director role is for people who have already proven they can lead AI and data engagements and manage senior talent, and who are ready to be accountable for a portfolio of clients, a library of reusable solutions, and the technology leads who deliver against both. It is a step-change in scope, not just seniority. What we're looking for: * Around 10+ years of experience leading AI and data projects, with a strong, specific track record of delivering measurable business value for clients, ideally including several years spent working with consulting and technical teams together. * Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical. * A track record you can speak to specifically, including engagements you have delivered, accounts you have grown, and pitches you have led. * Credible at C-suite level; confident engaging and influencing senior executives and stakeholders across a client organisation, not because you perform confidence, but because you have done the work and know what you are talking about. * Genuinely invested in developing other people; you mentor and support the technical talent around you, and you take building Artefact's data and AI capability as seriously as you take any individual engagement. We do not require a single career path to this role. Some of our strongest Directors came from tier-one consulting firms, some from private equity or in-house transformation leadership, and some grew here. What they share is deep AI and data expertise, the ability to earn trust at every level, and the judgement to know when to operate strategically and when to get into the technical details themselves. WHY YOU SHOULD JOIN ARTEFACT  * Exciting, cutting-edge projects at global scale: We deliver truly innovative work to blue chip clients across the globe, you will design and lead these initiatives.  * Genuinely diverse work and people: On any given week you might work alongside a data scientist, a C-level executive, directors and more, across sectors you wouldn't encounter anywhere else. * Transparent progression: A clear pathway to Partner level, with half-year reviews, honest feedback, and active coaching. * Global without the travel grind: Multi-market projects and a 2,500-person global network, London-based, & hybrid working. * A genuine culture of learning: From tool-specific training to testing the latest AI models to running client workshops on what you've found, you have the liberty to pursue what interests you and share it with the team.

Mycronic is a global high-tech company whose innovative solutions have been advancing electronics technology for over 40 years. Today we continue to grow and serve customers in an expanding variety of industries. What we do impacts the future of technology, and in turn, the way we live our lives tomorrow. We’re looking for people to join our talented, motivated and friendly team on the cutting-edge. Here, in an open, collaborative and flexible environment, you’ll work alongside leading industry experts and take on challenging projects that bring tomorrow’s electronics to life. If you have several years of work experience within software development and embedded systems and wants to be part of a growing company with world leading products, this is for you! About the role Mycronic has experienced strong growth in recent years, both organically and through acquisitions. With headquarters in Sweden, Mycronic is a global organization with subsidiaries, agents, and distributors in over 50 countries. Mycronic is divided into four divisions, and in this role, you will belong to PCB Assembly Solutions (PA). PA is a leading provider of equipment and solutions for surface mount technology (SMT) to electronics manufacturers who require rapid production adjustments while maintaining high efficiency. PA delivers systems for circuit board assembly, including both complete line solutions and individual systems for specific process steps, as well as advanced software for assembly process management and connected factories. In this role, you will be part of a team of 7 team members and collaborate with several functions across the company, such as architects, project managers and other software teams within for example AI. You are offered The opportunity to work in a multi-cultural company with knowledgeable, friendly and goal-oriented colleagues. To work in an exciting company in a growth phase, where you can make a real impact in a fun and dynamic environment. Mycronic is a global company, yet small enough for you to truly make a difference. The opportunity to work with world-leading products. The future of electronics production is increasingly complex. Denser boards, a wider range of miniaturized components, more NPIs and erratic production schedules. To address these challenges Mycronic has developed the industry’s fastest, most flexible and most precise jet printing and solder paste dispensing systems. Mycronic jet printing technology makes it possible to dispense solder paste for the most challenging circuit boards and components, with micrometer accuracy, maximum speed and perfect quality solder joints. Read more here:(https://www.mycronic.com/product-areas/pcb-assembly/products/smt/jet-printing/). Mycronic has a large software organization which will provide you with optimal opportunities to develop your knowledge in various areas of computer science – such as software architecture for robotics, machine learning, AI, optimization, and computer vision. Work tasks You will work in a broad developer role where you will truly have the opportunity to influence the final solution of the products. The Mycronic Jet Printer, which is the product area you will be developing the software for, includes electronics, mechanics, and software, creating exciting opportunities for those who want to work with complex software development involving multiple technical disciplines. We are continuously working to enhance our products' user-friendliness, particularly in terms of automation and user interfaces, which will also be part of your development work. Your primary focus will be on improving the products, with opportunities to contribute your ideas and collaborate as a team to create the best solutions. This may involve anything from adding capability features and reducing energy consumption to updating the GUI. Mycronic has both R&D, lab, and production in-house, meaning you will work close to the products you develop, which also gives you the opportunity to see the "real world" results of your work. We are looking for This is a role for someone with a strong background in software development and an interest in understanding the entire product and an ambition to grow into a software architect role. As a software developer you will have a key role in the product development since this is where all the technology in the machine comes together to provide the system functionality that meets the user. You will be involved in everything from requirements gathering to design, architecture and development and collaborate with several stakeholders. As a person, we see it as particularly important that you are goal- and detail-oriented and have strong collaboration skills. You also have a will to contribute with your ideas, and just like your colleagues, you always strive to develop yourself and contribute to the team´s collective growth. We expect you to make a strong contribution by adding new functionality, maintaining high quality and by helping to introduce new technology and processes to increase team efficiency. You likely have: A master´s degree within computer science, electronics, mechatronics or similar. Strong software development experience with the capability and ambition to take on broader architectural responsibilities in a few years. Strong knowledge in Java. Strong knowledge of software development in Linux. Experience of working with software systems that interact with embedded software and hardware. Strong knowledge in English and good knowledge in Swedish (or have the desire to learn) It is considered advantageous if you have... Knowledge in C and/or C++ Other Information Start date: By agreement Employment type: Permanent Scope: Full-time Location: Kista Contact Information: Senior Recruitment Consultant Johanna Sörell, johanna.sorell@academicwork.se The recruitment process is handled by Academic Work, and Mycronic requests that all questions regarding the process goes to Academic Work. Our recruitment process Problem-solving and personality test Phone interview with Academic Work In-depth interview with Academic Work Interviews with Mycronic Reference check + decision

SENIOR CONSULTANT   Hybrid working pattern WHO WE ARE Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 36 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Key responsibilities As a Senior Consultant, you are a team leader - you will receive the coaching of the most senior people at Artefact and you will be in constant contact with our clients to drive success. You will take the responsibility and ownership of the quality and timeliness of the project delivery while contributing to the vision and organising the next steps.  To succeed in this role, the Senior Consultant needs to be a true problem-solver and project manager, relying on the expertise of others (data scientists, data engineers, or their peers and clients) and getting a very detailed understanding of what great looks like for their clients. They will be able to adapt to a vast diversity of missions while acquiring a fine knowledge of the complex organisations to make data go beyond technology and drive real business impact. Leveraging the right and smart data to improve the business outcome for our clients is the DNA of a Senior Consultant at Artefact. As a Senior Consultant, your missions will include: * Understanding clients needs and build your convictions to create success in your missions * Formulating strategies, roadmaps, action plans and communicate them efficiently in writing and orally to the clients and other team members * Organising the delivery of projects end-to-end, from briefing and managing your teams to driving clients in the right direction * Inspiring and contribute to deliverables with a desire to lead by example, while your philosophy is to create legitimacy on the ground * Driving the commercial roadmaps with your managers and partners and helping to build knowledge for Artefact as you build industry / topic expertise project after project. What we are looking for * Individuals who align with our values; We value potential over existing knowledge. We value ideas over hierarchy. We value actual work over nice talks. We value people over experience. * We love individuals who are curious and problem-solving.  * We have a strong appetite for those who want to discover new things even when it pushes them out of their comfort zone. * We would appreciate people who are as passionate as us in all things digital, data and tech. * The ability to demonstrate autonomy, high-quality deliverables, strong attention to detail and the ability to build long-term customer relationships is a must, you will also have a strong appetite to grow in the world of Data.  Why you should join us * Artefact is the place to be: come and build the future of marketing,  join a community, we have a team of experts and professionals worldwide that will always be willing to help * Get immersed into the digital and data industry: meet the most innovative partners, deliver cutting-edge projects, and see the industry from backstage. Sooner than you think, you’ll talk about Machine Learning, DevOps and AI like a pro. * Progress: Every day offers new challenges and new opportunities to learn. At Artefact, we take training very seriously, and you’ll be coached and mentored on your technical, consulting, and interpersonal skills on a regular basis. * Culture: join an diverse, collaborative, and action-oriented team * Entrepreneurship: you will be joining a team of driven entrepreneurs, come and help industry leaders transform through data, we won’t give up until we make a huge dent in this industry!

Are you passionate about the infrastructure of scalable, secure, and future-proof data platforms that power analytics, AI, and business-critical insights? Do you thrive in environments where automation, cloud technologies, and platform reliability are at the core of everything you do? We're looking for a Data Platform Engineer who wants to play a pivotal role in shaping and operating a modern Azure and Databricks-based data platform that enables data-driven decision-making, advanced analytics, and AI innovation at scale. About the role In this role, you will be responsible for designing, building, and maintaining the infrastructure that supports analytics, reporting, AI, and data product development. You will help establish platform standards, develop automation capabilities, and ensure the platform remains secure, scalable, and resilient. Working closely with Data Architects, Data Engineers, Enterprise Architects, and Security teams, you will drive the evolution of a modern cloud-based platform that enables seamless data ingestion, processing, and consumption across the organization. As a key member of the team, you will manage and optimize Azure Databricks, Azure Data Lake, networking, and supporting platform services. You will implement Infrastructure as Code using Terraform, build and maintain CI/CD pipelines, and create observability frameworks that provide transparency into platform health, performance, and cost efficiency. You will also play an important role in troubleshooting complex issues, improving operational excellence, supporting disaster recovery planning, and enabling AI and machine learning capabilities through robust platform engineering practices. Beyond the technical responsibilities, you will act as a trusted subject matter expert, helping engineering teams adopt cloud platform best practices while continuously driving improvements in reliability, security, governance, and operational efficiency. We're looking for someone who combines a strong engineering foundation with hands-on experience building and operating the infrastructure of enterprise-scale cloud platforms. Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. 5+ years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or similar roles. Proven experience designing, implementing, and operating secure, scalable, and resilient cloud infrastructure in Azure. Experience supporting modern data platforms, analytics, AI, and machine learning workloads. Key technical skills We're looking for someone with strong expertise across several of the following areas: Azure cloud and data platforms, including Azure Databricks Administration, Azure Data Lake, data integration services, and analytics workloads. Infrastructure as Code and platform automation, including Terraform, Git, CI/CD, automated provisioning, and configuration management. Containerized and cloud-native environments, including Kubernetes and Docker. Cloud networking and identity management, including Azure Networking, Entra ID/IAM, DNS, connectivity, private networking, routing, and firewalls. Security, compliance, and governance, including implementation of security controls and governance frameworks within regulated environments. Observability and platform operations, including monitoring, troubleshooting, high availability, platform reliability, and cost optimization (FinOps). Scripting and automation, using Python, PowerShell, or Bash. Nice to have Experience with any of the following would be considered an advantage: Microsoft Purview and Apache Airflow. MLOps and Azure AI Services. Multi-cloud environments. Azure Solutions Architect, Azure Administrator, or Databricks Platform Administrator certifications. Experience from the logistics industry. Language requirements Fluent in English, both written and spoken Swedish, Danish, Finnish, or Norwegian is considered an advantage Who you are You are a curious and proactive engineer who enjoys solving complex challenges and building reliable platforms that create value at scale. With a strong analytical mindset and a passion for troubleshooting, you thrive in environments where continuous improvement, automation, and operational excellence are key. You take a structured approach to problem-solving, have a natural sense of ownership, and are committed to delivering high-quality solutions. At the same time, you're a collaborative team player who builds strong relationships across Engineering, Architecture, Security, and Business teams, enabling effective stakeholder engagement and driving results through cross-functional collaboration. Apply Welcome to submit your application! The selection is ongoing, but please note that due to the summer holiday period, the recruitment process may take longer than usual and response times may therefore be delayed. We appreciate your patience and understanding. If you have any questions or concerns, please email recruiting manager Linda Njeru at linda.njeru@postnord.com. We look forward to hearing from you!  Read more about our union representatives PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

Job Description WHAT YOU’LL DO​ As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. ​ WHO YOU’LL WORK WITH​ You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. ​ ​ WHO YOU ARE​ We are looking for people with…​ ​A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are…​ Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools​ Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive ​Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​ We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​ WHY YOU’LL LOVE WORKING HERE ​ At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ Take the next step in your career together with us. The journey starts here.​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.