Sökresultat för "Machine learning"

Om företaget Valcon är ett internationellt konsultbolag som arbetar i skärningspunkten mellan affär och teknik, med fokus på att skapa datadrivna lösningar som gör verklig skillnad för sina kunder. Bolaget kombinerar strategisk rådgivning med teknisk implementation och hjälper organisationer att ta nästa steg inom digitalisering, data och AI. Här får du arbeta i en miljö där innovation, samarbete och kunskapsdelning står i centrum. Teamet består av erfarna specialister inom data, analytics och machine learning som tillsammans driver utvecklingen framåt och skapar värde i allt från tidiga koncept till produktionssatta lösningar. Som medarbetare erbjuds du stora möjligheter att påverka både teknikval och arbetssätt, samtidigt som du får arbeta i varierande projekt hos välkända kunder. Kulturen präglas av entreprenörsanda, nyfikenhet och en vilja att ständigt utvecklas – både som individ och som team. Om tjänsten I rollen som Machine Learning Engineer arbetar du nära både teknik och verksamhet för att utveckla skalbara och robusta ML-lösningar. Du blir en del av ett team där samarbete, kunskapsdelning och nyfikenhet står i fokus. I denna roll kommer du bland annat att: Utveckla och träna machine learning-modeller i Python (t.ex. med NumPy, Pandas och scikit-learn) Arbeta med feature engineering, datamodellering och statistisk analys Utvärdera och optimera modellprestanda genom tester och experiment Bygga, underhålla och vidareutveckla ML-pipelines Sätta modeller i produktion och säkerställa stabil drift över tid Arbeta med MLOps, inklusive CI/CD, modellversionering och automatiserad retraining Exponera modeller via API:er och integrera dem i affärsnära system Arbeta med moderna teknologier såsom Azure Machine Learning, vektordatabaser och embeddings Utveckla lösningar inom generativ AI, exempelvis RAG (Retrieval-Augmented Generation) Samarbeta med andra utvecklare, data engineers och stakeholders för att skapa värde från data Du kommer att arbeta genom hela ML-livscykeln – från experiment och prototyp till produktionssatta lösningar och kontinuerlig förbättring. Vi söker dig som Har minst 3 års erfarenhet inom Machine Learning eller liknande roll Har goda kunskaper i Python och ML-bibliotek Har erfarenhet av att utveckla, testa och sätta ML-modeller i produktion Har förståelse för statistik, sannolikhetslära och modellvalidering Har arbetat med ML-pipelines, CI/CD och MLOps Har erfarenhet av molntjänster, gärna Azure Är van att arbeta i team och kommunicera med både tekniska och icke-tekniska stakeholders Kommunicerar obehindrat på svenska och engelska Övrigt Anställningen är på heltid med en inledande provanställning på sex månader. Lön och tillträde sker enligt överenskommelse. Tjänsten är placerad i Göteborg. I denna rekrytering samarbetar Valcon med Kraftsam Rekrytering och Bemanning. Externa rekryteringsbolag och säljare undanbedes vänligen men bestämt. Har du frågor om tjänsten, vänligen kontakta ansvarig rekryterare Kristina Maksimovic på kristina@kraftsam.se Vi ser fram emot din ansökan!

Om företaget Valcon är ett internationellt konsultbolag som arbetar i skärningspunkten mellan affär och teknik, med fokus på att skapa datadrivna lösningar som gör verklig skillnad för sina kunder. Bolaget kombinerar strategisk rådgivning med teknisk implementation och hjälper organisationer att ta nästa steg inom digitalisering, data och AI. Här får du arbeta i en miljö där innovation, samarbete och kunskapsdelning står i centrum. Teamet består av erfarna specialister inom data, analytics och machine learning som tillsammans driver utvecklingen framåt och skapar värde i allt från tidiga koncept till produktionssatta lösningar. Som medarbetare erbjuds du stora möjligheter att påverka både teknikval och arbetssätt, samtidigt som du får arbeta i varierande projekt hos välkända kunder. Kulturen präglas av entreprenörsanda, nyfikenhet och en vilja att ständigt utvecklas – både som individ och som team. Om tjänsten I rollen som Machine Learning Engineer arbetar du nära både teknik och verksamhet för att utveckla skalbara och robusta ML-lösningar. Du blir en del av ett team där samarbete, kunskapsdelning och nyfikenhet står i fokus. I denna roll kommer du bland annat att: Utveckla och träna machine learning-modeller i Python (t.ex. med NumPy, Pandas och scikit-learn) Arbeta med feature engineering, datamodellering och statistisk analys Utvärdera och optimera modellprestanda genom tester och experiment Bygga, underhålla och vidareutveckla ML-pipelines Sätta modeller i produktion och säkerställa stabil drift över tid Arbeta med MLOps, inklusive CI/CD, modellversionering och automatiserad retraining Exponera modeller via API:er och integrera dem i affärsnära system Arbeta med moderna teknologier såsom Azure Machine Learning, vektordatabaser och embeddings Utveckla lösningar inom generativ AI, exempelvis RAG (Retrieval-Augmented Generation) Samarbeta med andra utvecklare, data engineers och stakeholders för att skapa värde från data Du kommer att arbeta genom hela ML-livscykeln – från experiment och prototyp till produktionssatta lösningar och kontinuerlig förbättring. Vi söker dig som Har minst 3 års erfarenhet inom Machine Learning eller liknande roll Har goda kunskaper i Python och ML-bibliotek Har erfarenhet av att utveckla, testa och sätta ML-modeller i produktion Har förståelse för statistik, sannolikhetslära och modellvalidering Har arbetat med ML-pipelines, CI/CD och MLOps Har erfarenhet av molntjänster, gärna Azure Är van att arbeta i team och kommunicera med både tekniska och icke-tekniska stakeholders Kommunicerar obehindrat på svenska och engelska Övrigt Anställningen är på heltid med en inledande provanställning på sex månader. Lön och tillträde sker enligt överenskommelse. Tjänsten är placerad i Stockholm. I denna rekrytering samarbetar Valcon med Kraftsam Rekrytering och Bemanning. Externa rekryteringsbolag och säljare undanbedes vänligen men bestämt. Har du frågor om tjänsten, vänligen kontakta ansvarig rekryterare Kristina Maksimovic på kristina@kraftsam.se Vi ser fram emot din ansökan!

PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS Value Stream: Innovation Hub Location: Hybrid working – minimum 2 days per week in the office Office: London, Basingstoke and Bristol Contract: Permanent, Full-Time Salary: £76,340 – £109,060 per annum JOIN OUR TEAM AS A PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER AT HAWK-EYE INNOVATIONS We're looking for an exceptional Principal Computer Vision / Machine Learning Engineer to join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera systems to deploying advanced algorithms onto embedded hardware, you'll play a key role in developing solutions that power world-leading tracking technology used across global sport. If you enjoy solving complex engineering challenges, influencing technical direction and building production-ready computer vision systems, we'd love to hear from you. WHAT YOUR DAY WILL LOOK LIKE As a Principal Computer Vision / Machine Learning Engineer, you'll play a key role in developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. You'll collaborate with software engineers, machine learning specialists and product teams to solve complex technical challenges, helping bring advanced tracking technology into a wider range of sporting environments. APPLIED COMPUTER VISION * Design and develop algorithms that reconstruct accurate 3D positional and trajectory data from 2D detections, applying mathematical and physical modelling of motion, projectiles and object interaction. COMPUTER VISION SYSTEMS * Design and build computer vision components supporting detection, tracking and calibration workflows across multiple sports. CALIBRATION & VALIDATION * Contribute to calibration systems, handling coverage gaps and validating reconstructed trajectories against real-world scenarios. EMBEDDED DEPLOYMENT * Support the optimisation and deployment of algorithms onto embedded NVIDIA Jetson hardware, helping deliver efficient real-time performance on edge devices. MACHINE LEARNING COLLABORATION * Work alongside our dedicated Machine Learning discipline, leveraging existing detection models where appropriate while owning the Computer Vision and applied modelling layer built on top of them. TECHNICAL LEADERSHIP * Influence algorithm design, technical architecture and data pipeline decisions within a fast-moving product team while providing technical guidance across complex engineering challenges. CROSS-FUNCTIONAL COLLABORATION * Partner with data platform, backend and frontend engineers to define data requirements, representative datasets and reliable production outputs. QUALITY & RELIABILITY * Help ensure tracking outputs remain accurate and reliable across challenging real-world environments where conditions can vary significantly. WHAT WE VALUE At Hawk-Eye, we thrive on solving difficult engineering problems through innovation, collaboration and technical excellence. As a Principal Engineer, you'll remain hands-on while influencing the technical direction of our products. You'll work alongside highly skilled engineers across Computer Vision, Machine Learning and Software Engineering to develop innovative solutions that continue to push the boundaries of sports technology. We're looking for someone who enjoys solving complex technical challenges, embraces ambiguity and wants to make a lasting impact through technical leadership and engineering excellence. SKILLS, KNOWLEDGE, AND EXPERTISE We're looking for someone with: * Extensive commercial experience in Computer Vision with a strong grounding in applied mathematics and physical modelling. * Expertise in trajectory estimation, motion reconstruction, projectile physics or similar 2D-to-3D reconstruction problems. * Experience designing Computer Vision algorithms for detection, tracking, calibration or reconstruction systems. * Experience working with camera-based data sources, tracking pipelines or spatial and temporal datasets. * Strong C++ development experience. * Python experience for prototyping, experimentation or tooling would be advantageous. * Experience deploying or optimising algorithms for embedded or edge GPU hardware, particularly NVIDIA Jetson, is highly desirable. * Working knowledge of Machine Learning techniques is beneficial; however, this role is primarily Computer Vision and applied modelling focused rather than Machine Learning research focused. * Comfortable working with ambiguity and evolving requirements within a fast-paced, product-focused engineering environment. * Excellent communication skills with the ability to collaborate across Computer Vision, Machine Learning, backend, frontend and data platform teams. * Experience influencing technical direction and contributing to architecture decisions. WHAT THIS ROLE IS NOT To help set expectations, it's important to understand what this role focuses on: * This is not a pure Machine Learning research role. The emphasis is on applied Computer Vision, mathematical modelling and delivering production-ready solutions rather than researching or training novel Machine Learning models. * This is not a Data Engineering role. You'll be responsible for producing high-quality model outputs, while separate teams own data storage, transformation, APIs and wider platform services. * This is not a people management role by default. As a Principal Engineer, you'll provide technical leadership, influence engineering decisions and mentor through technical expertise. Depending on the team structure, there may be opportunities to lead a squad or technical discipline, but direct line management is not a core responsibility. REWARD, BENEFITS, AND WELLNESS We offer a comprehensive package to support your growth and well-being. UNITED KINGDOM * Annual Leave: 25 days (excluding bank holidays). * Enhanced Pension Scheme: 5% matching. * Flexible Working: Hybrid model (minimum 2 days in the office per week). * Wellness: Complimentary Unmind app and onsite gym (Basingstoke). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. HUNGARY * Annual Leave: Standard according to local labour law. * Flexible Working: Hybrid model (2 days in our office per week). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. * Additional Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), private medical insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance Program. ABOUT US Hawk-Eye Innovations, part of Sony Sports Technology, is a world leader in sports technology. We deliver sophisticated officiating, broadcast and player tracking solutions across more than 25 international sports. Every year, our technology supports over 30,000 sporting events across more than 500 stadiums in 90 countries. Our Innovation Hub focuses on solving the next generation of technical challenges, developing cutting-edge Computer Vision and Machine Learning solutions that continue to redefine what's possible in sports technology. EQUAL OPPORTUNITY STATEMENT As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a workforce that is diverse, inclusive and representative of the communities we serve. Sony Sports Technology is an equal opportunity employer and welcomes applications from people of all backgrounds and experiences. We recruit, retain, develop and promote people based on their skills, qualifications and experience. Our commitment is to provide a respectful, inclusive environment where everyone has the opportunity to contribute, grow and succeed. APPLY TODAY Join Hawk-Eye Innovations and help shape the future of sports technology. As a Principal Computer Vision / Machine Learning Engineer, you'll work on some of the most technically challenging problems in Computer Vision, applied mathematics and real-time tracking, helping build the next generation of world-leading sports technology.

2MNordic is a Swedish IT consulting company. Since 2001, we’ve helped our customers to re-engineer, digitalize, manage and operate their most essential product development, advancing the ways of working that improve customer experiences, heighten efficiency and lower operating costs to deliver clear outcomes and topline growth. We have the pleasure to work with many varying companies across a couple of industries. Our highest priority is to create best customer experience by working across different skill sets, technologies and locations as a cohesive team with our customers delivering digital solutions that drive their business growth and increase operating efficiency. NOTE its 100% Onsite in Malmö, with start date ASAP. Senior Machine Learning Engineer / Data Scientist Are you passionate about applying machine learning to solve real-world problems at scale? We are looking for an experienced Machine Learning Engineer or Data Scientist to develop intelligent solutions that improve data quality, automate analysis, and generate valuable business insights. You will work across the full machine learning lifecycle—from experimentation and model development to production deployment and continuous improvement. Responsibilities Design, develop, and deploy machine learning models. Build scalable data pipelines and software solutions. Analyze large datasets to improve quality and generate actionable insights. Develop and optimize NLP and machine learning solutions. Integrate machine learning models into production systems. Collaborate with software engineers, data engineers, and domain experts. Take ownership of features throughout the entire development lifecycle. Required Qualifications Strong programming skills in Python. Solid experience in Machine Learning and Data Science. Experience with LLMs, prompt engineering, and agent-based AI solutions. Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, and NumPy. Strong understanding of supervised and unsupervised machine learning algorithms. Experience building scalable production-ready ML solutions. Strong analytical and problem-solving skills. Excellent communication skills in English. Meritorious Experience with Java or Scala. Knowledge of NLP, Information Retrieval, Data Mining, or Predictive Analytics. Experience building statistical or predictive models. Personal Profile You are curious, analytical, and motivated by solving challenging problems with data. You enjoy working collaboratively, taking ownership, and turning research into production-ready solutions that create real business value. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

About Repli5: Repli5 is a small Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, called RealSim, leverages gen AI to bridge the gap between synthetic data and reality. This is particularly useful for creating accurate, realistic training data for computer vision models, essential in developing solutions for industrial robotics, autonomous drones, and select automotive applications. Our technology is also capable of enhancing real-world images by introducing extensive weather and lighting variations, which significantly increases the robustness of downstream computer vision models. We are now packaging this tech into a platform service built for computer vision engineers. The Opportunity: Shaping the Future of AI Perception We're looking for an experienced Machine Learning Engineer with a deep background in computer vision and generative AI. You’ll be part of a team developing workflows that generate realistic, diverse, and highly controllable synthetic image data using state-of-the-art tools like Stable Diffusion, LoRA, and ControlNet. These workflows will be adapted and applied to our new platform and your work will thus directly impact Repli5’s business and the performance and robustness of real-world AI systems—from self-driving cars to industrial automation. What You’ll Do (Key Responsibilities) Develop and fine-tune generative AI pipelines (e.g., Stable Diffusion, ControlNet, LoRA) for synthetic image generation. Design and implement machine learning workflows to generate structured, photorealistic datasets. Collaborate with 3D artists and simulation engineers to align ML models with physical environments and sensor setups. Work closely with customers in automotive, robotics, and aerospace to deliver tailored datasets. Optimize generation systems for scalability, quality, and speed using tools like ComfyUI or custom pipelines. Who You Are (Qualifications) The Essentials: MSc or PhD in Computer Vision, Machine Learning, or related field with 3+ years of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Extensive experience with state-of-the-art image generation models (GAN, Diffusion, Transformers) Exploring Mindset: Experience exploring workflows with generative AI models (especially diffusion-based) and a strong passion for reading and applying new research papers. Toolset Curiosity (Big Plus!): Familiarity with tools like LoRA, ControlNet, ComfyUI, or custom workflows around Stable Diffusion. Domain Knowledge (Big Plus!): Strong understanding of synthetic data generation and its role in training perception systems. Practitioner: A track record of deploying ML systems in domains like industrial automation, defense, or automotive. The Startup Gene: You excel in fast-paced, ambiguous environments where you can take initiative and work independently. A Team Player: A problem-solving intellect with a team player spirit and a positive can-do attitude. What We Offer A competitive compensation package. Flexibility and work-life balance. Challenging tasks that are at the forefront of technology. The autonomy to make major technical decisions and influence the product direction. An international, caring culture where it is natural to both ask for and offer help. Flexible working hours and the possibility to work from home some days a week. Fun at work. Recruitment Process Application Review First Interview (1-1 with COO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical interview (with 2-3 from the Repli5 team). You're given a technical problem similar to a customer request and you are expected to present how you would solve this (but not present the actual solution). This is followed by general technical questions Final stage is a sync with the CEO.

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Machine Learning Engineer.  Let us tell you about the role 📖 As a Machine Learning Engineer at Nextory, you'll build the systems that power how users discover, understand, and engage with books. You'll work across AI agents, search, recommendations, retrieval, and product experiences, turning advances in AI into features that users interact with every day. Some examples of what you'll be doing: Build intelligent recommendation, search, and discovery systems that help users find their next favorite book and connect with the right content faster. Use AI, user behavior, and content understanding to continuously improve relevance, engagement, and user experience. Design, build, and operate scalable machine learning systems using LLMs, retrieval, recommendation, and agent technologies. Collaborate across product and engineering teams to deliver reliable AI-powered features with measurable user impact. Your story so far 👀 We believe you're an experienced engineer who enjoys solving complex problems and turning emerging technology into products that people love using. You are comfortable moving between product thinking and technical implementation, and you thrive in environments where experimentation, ownership, and fast iteration are part of everyday work. We also believe that you have: BSc in Computer Science or another relevant field, or equivalent work experience. At least 3 years of experience in a similar role Strong programming skills in Python. Experience working with AI agents and agent-based systems. Experience building and shipping LLM-powered features to production. The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application 💫. Applications are reviewed continuously, but please note that due to summer vacations, our response times may be a little longer than usual. If you have any questions about the role, please contact erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

YOUR MISSION AT VOI As a Machine Learning Engineer Intern at Voi, you will play a key role in designing and building machine learning models for our edge ML product. You will work across both software engineering and machine learning challenges, contribute to our product rollout, and help enhance the safety and real-world performance of our vehicles. You will join a high-impact product team, see your work deployed on Voi vehicles worldwide, and learn how to build ML products end-to-end. Please note this role is for 50% (Part-Time). In this role, you will: * Help build a cutting-edge machine learning product and see your models deployed on Voi vehicles across multiple markets. * Build an ML solution end-to-end, from dataset creation and PoC model development to edge ML optimisation, deployment and impact measurement. * Support production-grade models with a focus on reliability, scalability, and high performance. * Collaborate with a world-class, cross-functional product team, aligning on priorities and outcomes while learning from and supporting your teammates. WHAT YOU NEED TO EMBARK You are a curious, hands-on and analytical problem-solver with a strong interest in applied machine learning. You enjoy working with real-world data, building models that ship to production, and collaborating with others to create solutions that make a tangible impact. We believe you have: * Current enrolment in an MSc in Computer Science, Machine Learning, Robotics or a related field, with around one year or less remaining in your studies. * Strong Python programming skills and experience with Git; experience deploying machine learning models or backend code in production is a plus. * Solid understanding of common machine learning techniques such as convolutional neural networks, transfer learning and object detection, and hands-on experience with frameworks such as PyTorch, TensorFlow or scikit-learn. * Fluency in written and spoken English, and a proactive communication style in a cross-functional team environment. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: * Join Europe’s #1 micromobility operator and one of the fastest growing scale-ups. * Get “skin in the game” through our employee options programme. * Enjoy unlimited free Voi rides and a dog-friendly office. * Work together with inspiring, motivated and fun colleagues towards a common goal. * Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution. If you are eager to apply your machine learning skills to real-world problems and shape the future of micromobility, we’d love to hear from you.

Machine Learning Engineer Leapit Consulting - Malmö, Sweden About the role Leapit is looking for experienced Machine Learning Engineers to join our growing engineering team in Sweden. We work with leading international companies across technology, finance, telecom, automotive, retail, and digital products. As a Machine Learning Engineer, you will design, build, and deploy machine learning solutions that solve real business problems at scale. You will work end-to-end, from data exploration and experimentation to model development, production deployment, and continuous improvement. You will collaborate closely with software engineers, data engineers, product teams, and business stakeholders to transform large and complex datasets into intelligent, production-ready solutions. This role is ideal for engineers who combine strong data science skills with solid software engineering practices and enjoy working in modern, fast-moving development environments. Responsibilities Design, develop, and deploy machine learning models for production systems Build scalable data pipelines and software solutions for large datasets Perform data analysis, feature engineering, and model evaluation Develop predictive models, anomaly detection systems, classification models, and NLP solutions Work with LLMs, prompting techniques, and agent-based workflows Integrate machine learning models into existing applications and cloud platforms Optimize model performance, scalability, and reliability Own technical deliveries from experimentation to production Collaborate with cross-functional teams including engineering, product, and business stakeholders Contribute to architecture, technical documentation, and best practices Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field 5+ years of software engineering or machine learning experience Strong programming skills in Python Proven experience in machine learning and data science Experience with supervised and unsupervised learning methods Experience working with LLMs and modern AI workflows Strong knowledge of machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, NumPy, and Pandas Experience building and deploying production-grade machine learning systems Strong analytical and problem-solving skills Excellent communication skills in English

ABOUT THE ROLE The Machine Learning Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. This role is crucial for uplifting the existing ML infrastructure into a robust, scalable, and production-ready system, specifically supporting the increasing needs of the company. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models. This is a highly technical role that will interface with data scientists, data engineers, data architects and software engineers to ensure the reliability and performance of ML systems at scale. YOU WILL BE RESPONSIBLE FOR: ● Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring. ● Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models. ● Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services. ● Assisting and collaborating with Data Scientists to ensure production readiness of models, focusing on code optimization for low latency and performance. ● Developing high-quality, reusable MLOps tooling and best practices to drive efficiency across the entire ML lifecycle. ● Driving automation initiatives to minimize manual intervention in model deployment and management. ● Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: Essentials ● Mid-senior level experience in a Machine Learning Engineer, MLOps Engineer, or similar role. ● Strong proficiency in Python for data and ML workflows and infrastructure automation tools (e.g. Terraform) for scalable infrastructure provisioning. ● Extensive experience with cloud platforms ( we work with GCP) for building and deploying ML systems. ● Deep understanding of containerization technologies and CI/CD pipelines. ● Solid experience with ML experiment tracking, model registry, and feature store platforms. ● Experience working with high volume, complex data architectures and real-time processing. ● Experience with SQL for data access and pipeline integration. ● A strong foundation in computer science fundamentals, software engineering best practices, and system design. Most importantly, we are looking for a continuous learning mindset and passion for researching and adopting the necessary technologies to solve complex MLOps and ML Engineering challenges. Nice To Have ● Experience working with Google Cloud Platform (GCP) services, particularly Vertex AI for training, deployment, and monitoring of ML models. ● Familiarity with building and deploying LLMs in production environments at scale. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS ● Hybrid work policy ● 4 weeks of Workation (T&C apply) ● 30 annual vacation days ● Occupational Pension ● 5,000 SEK wellness contribution annually ● Parental Leave Top-Up ● Possibility to enrol in a private health care insurance for both you and your partner ● 1,500 SEK equipment allowance ● Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it. Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects. MACHINE LEARNING ENGINEER As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central. You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains. We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us. Our Stack Python / R – standard open-source libraries Scikit-learn and various specialized Python and R ML libraries Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI Cloud platforms such as AWS, GCP, and Azure CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML, Relational database management systems MLOps and LLMOps tools for model deployment and monitoring. Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes) Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform Responsibilities Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client Preprocessing, feature engineering, and dataset creation ML and LLM model development, fine-tuning, and evaluation Validation of results and model interpretability Building and optimizing data pipelines and ML/LLM infrastructure Developing APIs and integrating ML models into production systems Ensuring scalability, monitoring, and performance optimization of deployed models Background & Skills MSc or Ph.D. in a quantitative field Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs Strong software development skills in Python and experience with software engineering best practices Experience deploying ML and LLM models into production environments A passion for lean, clean, and maintainable code The desire to grow and to share insights with others Helpful Knowledge Deep learning frameworks and transformer-based architectures LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) Data pipelining and ML/LLM infrastructure best practices DevOps experience, CI/CD, Kubernetes, and serverless architectures Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications About Team Modulai At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working. Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it! Apply here: https://modulai.teamtailor.com/

På Knowit FLX får du det bästa av två världar. Du styr över din ersättning, pension, dina uppdrag och din tid, samtidigt som du har tryggheten i en fast anställning, kollegial gemenskap och säljkraft från ett av Nordens ledande konsultbolag.    AI-utvecklare / Machine Learning Engineer till Knowit Solutions FLX Stockholm   Som anställd hos Knowit Solutions FLX, ett dotterbolag inom Knowit-koncernen, väljer du själv din lön, din pension, din arbetstid och dina uppdrag.  Dina närmaste kollegor är andra seniora konsulter inom systemutveckling, arkitektur och projektledning.   Hos Knowit Solutions FLX är du anställd i ett mindre bolag med korta beslutsvägar, samtidigt som du får ta del av fördelarna med att tillhöra en av Nordens största IT-koncerner.   Knowit är ett av Nordens ledande IT-konsultbolag med över 4 000 medarbetare. Vi har ett stort antal ramavtal inom både offentlig och privat sektor, vilket ger tillgång till spännande kunduppdrag och möjligheter till kompetensutbyte. Hos Knowit får du möjlighet att arbeta både i resursuppdrag och i team- eller projektåtaganden tillsammans med dina kollegor.   Vem är du?  Vi söker erfarna AI-utvecklare till uppdrag hos våra kunder inom både privat och offentlig sektor. Du arbetar med att designa, utveckla och produktionssätta AI-lösningar baserade på maskininlärning och generativ AI, exempelvis lösningar med LLM och RAG. Rollen innebär att bygga skalbara lösningar i molnmiljö, integrera AI-funktionalitet i befintliga system och omsätta nya tekniska möjligheter till konkreta lösningar som skapar affärs- och verksamhetsvärde. Du arbetar nära både verksamhet och utvecklingsteam i uppdrag där AI går från experiment till verklig nytta. Vi tror att du har:   * Erfarenhet av utveckling av AI- och maskininlärningslösningar * Stark kompetens i Python * Erfarenhet av att utveckla lösningar baserade på Large Language Models (LLM) och generativ AI * Erfarenhet av att utveckla RAG-lösningar eller andra lösningar baserade på semantiskt sök och embeddings * Erfarenhet av att utveckla AI-lösningar från prototyp till produktionssatt system * Erfarenhet av API-utveckling och integration av AI-tjänster * Erfarenhet av containerbaserad utveckling, exempelvis Docker eller Kubernetes * Erfarenhet av att utveckla AI-lösningar i molnplattform, Azure, AWS eller GCP * Mycket god förmåga att kommunicera på svenska och engelska i tal och skrift  Varför Knowit Solutions FLX?   Hos oss får du det bästa av två världar: friheten att själv forma din arbetssituation och tryggheten i en fast anställning.   Du blir en del av ett kompetent nätverk av kollegor, får stöd av en stark säljorganisation som matchar dig med rätt uppdrag och har styrkan hos ett av Nordens största IT-konsultbolag i ryggen.   Välkommen med din ansökan!

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.

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.

Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Fall 2026. Project description The focus of the doctoral project is explainable machine learning for neuromorphic computing for predictive materials discovery. The doctoral student will be part of a larger project Brain-inspired AI Design of Topological Magnets for Sustainable Computing. The five-year project is a WASP-WISE-funded collaboration with research groups at Uppsala University and KTH for designing sustainable magnetic materials. The doctoral student will also be part of the Wallenberg AI, Autonomous Systems and Software Programme (WASP) and graduate school. WASP is Sweden’s largest individual research programme ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The programme addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious programme with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers, and industry. Read more: https://wasp-sweden.org/graduate-school/ The programme and the doctoral studentship The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study. Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking. The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook (https://www.oru.se/globalassets/oru-en/education/research-education/regelhandbok-for-utbildning-pa-forskarniva_en.pdf). The initial salary for a doctoral studentship is SEK 32,300 a month. Entry requirements and selection To see the job advertisement in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260203 Information For more information about the programme and the doctoral studentship, contact Dr. Stephanie Lowry, email: stephanie.lowry@oru.se, or Dr. Denis Kleyko, email: denis.kleyko@oru.se. For administration issues, contact Head of unit Martin Magnusson, email: martin.magnusson@oru.se. At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach. Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust and respect. We value the qualities that diversity adds to our operations. Application to the programme and for the doctoral studentship The application is made online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included: CV Proof that you meet the general and specific entry requirements (copies of the original certificate and official transcript for Bachelor's and Master's degrees) Independent project (degree project) Other relevant documents, course and degree certificates verifying eligibility Description of research interests (1-2 pages) - describing your research interests, explaining why you are interested in this project, and why you would be a good fit for the position. As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorized translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), http://www.kammarkollegiet.se/engelska/start. When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/ The application deadline is August 21, 2026. We look forward to receiving your application! As we have already made our choices in terms of external collaboration partners and marketing efforts for this recruitment process, we decline any contact with recruitment agencies and advertisers. As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

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.

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.