Sökresultat för "Learning Solutions"

Vill du forma framtidens läromedel inom juridik och ekonomi? Liber söker nu en förläggare som brinner för samhällsfrågor, ekonomi och lärande. Här får du ansvar för att utveckla våra läromedel för gymnasiets ekonomi- och försäljnings och serviceprogram– och göra verklig skillnad för elever och lärare i hela Sverige. Om rollen Som förläggare har du det övergripande ansvaret för dina produktområden – från idé och koncept till färdig produkt. Du identifierar behov, tar fram utvecklingsplaner och driver arbetet tillsammans med författare, innehållsredaktörer, digitala produktägare och kollegor inom sälj och marknad. Du säkerställer att produkterna håller hög kvalitet, vilar på forskning och beprövad erfarenhet och möter gymnasieskolans styrdokument och behov. Inom dina ämnen driver du satsningen på våra läromedel – både strategiskt och operativt. Du formulerar en övergripande strategi för ditt segment och omsätter den i praktiken genom löpande utgivning. Målet är en produktportfölj som förbereder eleverna för fortsatta studier och arbetsliv och ger lärarna verktyg som fungerar i klassrummet. Tillsammans med teamet tar ni fram material – tryckt och digitalt – som gör ämnet begripligt och engagerande, och med sälj och marknad lägger ni en plan för att nå ut effektivt på marknaden. Din profil Vi söker dig som brinner för juridik, ekonomi och lärande – och för hur man skapar engagerande, pedagogiskt innehåll som stöttar både elever och lärare. Vi tror du har: * Erfarenhet av förläggar- eller affärsutvecklingsarbete, gärna från utbildningsförlag, i framtagandet av fysiska och digitala produkter * Lärarbehörighet och erfarenhet av att undervisa i juridik och/eller ekonomi på gymnasiet, samt god kännedom om målgruppens behov * Mycket god språkkänsla och vana av att skriva och redigera texter, som författare eller redaktör * Kommersiellt driv – du är van att prioritera utvecklingsområden ur ett kommersiellt perspektiv och har god förståelse för affären bakom produkten * Kommunikativa egenskaper – du är trygg med att presentera och ta fram underlag för både långsiktiga strategier och specifika lösningar, från ledningsgruppsnivå till olika delar av organisationen. * God vana att jobba med arbetsverktyg i Office-paketet samt erfarenhet av utvecklingsarbete av digitala läromedel * Personliga egenskaper som nyfikenhet, initiativkraft och samarbetsförmåga – du trivs med att driva projekt och skapa engagemang och glädje i teamen omkring dig  Meriterande: * Erfarenhet av läromedelsutveckling inom juridik eller ekonomi Om oss Liber är en av Sveriges ledande aktörer inom läromedel och kurslitteratur. Vi utvecklar material som ger lärare och elever stöd i undervisningen, både i tryckt och digital form. Vår ambition är att erbjuda genomtänkta och relevanta produkter och tjänster som gör skillnad. Vi strävar efter en inkluderande och dynamisk arbetsmiljö där olika perspektiv och erfarenheter bidrar till vår gemensamma framgång. Hos oss får du arbeta i ett engagerat team där du kan göra skillnad och bidra till utbildning i hela Sverige. Liber är en del av den europeiska koncernen Infinitas Learning och har sitt kontor i moderna lokaler på Norra Stationsgatan 69 i Stockholm. Ansökan och kontakt * Sista ansökningsdag: 31 augusti 2026 (urval och intervjuer sker löpande) * Kontaktperson: Jessica Kirchmeier, förlagschef * Tjänsten är en tillsvidareanställning på heltid. Placering i Stockholm, med möjlighet till distansarbete två dagar i veckan. Vi ser fram emot att höra från dig!

Vill du väcka läslust och forma framtidens läromedel? Liber söker nu en förläggare som brinner för läsning, språk och lärande. Här får du ansvar för att bygga upp två strategiskt viktiga segment – sfi för vuxenutbildningen och läsning inom svenska – och göra verklig skillnad för elever och lärare i hela Sverige. Om rollen Som förläggare har du det övergripande ansvaret för utvecklingen av dina produktområden – från idé och koncept till färdig produkt. Du identifierar behov, tar fram utvecklingsplaner och driver arbetet tillsammans med innehållsredaktörer, digitala produktägare, projektledare och kollegor inom sälj och marknad. Du säkerställer att våra produkter håller hög kvalitet, vilar på forskning och beprövad erfarenhet samt möter skolans och vuxenutbildningens behov. Inom sfi Liber har en stark position inom sfi och ett väl etablerat erbjudande. Ditt uppdrag blir att vidareutveckla vår marknadsledande digitala plattform tillsammans med ett tvärfunktionellt team. Fokus ligger på att säkerställa att innehåll och funktionalitet möter nya kursplaner och fortsätter att utvecklas utifrån kundernas och användarnas behov. Inom läsfrämjande utgivning Du får också möjlighet att bygga upp Libers satsning på skönlitteratur och lättlästa böcker för svenskämnet. Målet är att utveckla en attraktiv produktportfölj som stärker elevers läslust och ger lärare inspirerande och användbara verktyg i undervisningen. Här arbetar du både strategiskt och operativt med att utveckla ett område med stor framtidspotential. Din profil Vi söker dig som brinner för läsning, pedagogik och lärande – och hur man skapar engagerande, pedagogiskt innehåll som stöttar både elever och lärare, från grundskolans svenska till sfi i vuxenutbildningen. Vi tror du har: * Erfarenhet av förläggar- eller affärsutvecklingsarbete, från skönlitterärt eller utbildningsförlag, i framtagandet av fysiska och digitala produkter * Lärarbehörighet, erfarenhet av att undervisa i sfi/svenska/sva, samt god kännedom om sfi och målgruppens behov * Mycket god språkkänsla och vana av att skriva och redigera texter, som författare eller redaktör * Kommersiellt driv– du är van att prioritera utvecklingsområden ur ett kommersiellt perspektiv och har god förståelse för affären bakom produkten * Kommunikativa förmågor – du är trygg med att presentera och ta fram underlag för både långsiktiga strategier och specifika lösningar, från ledningsgruppsnivå till olika delar av organisationen * Personliga egenskaper som nyfikenhet, initiativkraft och samarbetsförmåga – du trivs med att driva egna projekt och skapa engagemang i teamen omkring dig * God vana att jobba med arbetsverktyg i Office-paketet samt erfarenhet av utvecklingsarbete av digitala plattformar, gärna inom läromedel Meriterande: * Egen erfarenhet som författare * Jobbat inom läsfrämjande projekt eller liknande Om oss Liber är en av Sveriges ledande aktörer inom läromedel och kurslitteratur. Vi utvecklar material som ger lärare och elever stöd i undervisningen, både i tryckt och digital form. Vår ambition är att erbjuda genomtänkta och relevanta produkter och tjänster som gör skillnad. Vi strävar efter en inkluderande och dynamisk arbetsmiljö där olika perspektiv och erfarenheter bidrar till vår gemensamma framgång. Hos oss får du arbeta i ett engagerat team där du kan göra skillnad och bidra till utbildning i hela Sverige. Liber är en del av den europeiska koncernen Infinitas Learning och har sitt kontor i moderna lokaler på Norra Stationsgatan 69 i Stockholm. Ansökan och kontakt * Sista ansökningsdag: 31 augusti 2026 (urval och intervjuer sker löpande) * Kontaktperson: Jessica Kirchmeier, förlagschef * Tjänsten är en tillsvidareanställning på heltid. Placering i Stockholm, med möjlighet till distansarbete två dagar i veckan. Vi ser fram emot att höra från dig!

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.

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

At Combitech in Stockholm, we are looking for a senior AI systems Architect who wants to shape how advanced AI solutions are designed, integrated, and brought into production. This is a role for someone who thrives in complex technical environments, enjoys taking architectural responsibility, and seeks real influence over both customer assignments and internal strategic initiatives. With Saab as our owner, we offer a unique combination of innovation, long-term stability, and the opportunity to contribute to secure, sustainable technology for society. We are looking for a senior technical leader who can make AI work in production by establishing the architecture, platforms, engineering practices, and delivery confidence needed for robust AI-enabled systems. You should be able to compare alternatives, reason through trade-offs, and make well-justified technical decisions across infrastructure, integration, security, scalability, maintainability, and ways of working. The Role Depending on the assignment, you will: Lead AI-enabled solutions from early architecture and requirements to integration, deployment, and long-term operation. Design technical foundations for production AI, including platform choices, CI/CD, MLOps/LLMOps, observability, governance, and security. Set direction for engineering practices, architecture decisions, documentation, and technical quality. Act as a trusted technical advisor to customers, translating complex needs into secure, scalable, and valuable solutions. Mentor colleagues and help elevate the technical maturity of our growing AI and software engineering community. Contribute to internal initiatives where your architecture experience can shape reusable capabilities, offerings, and ways of working. We Are Looking for Someone Who Has A relevant university degree or equivalent senior professional experience in software, systems architecture, AI, computer science, or a related technical field. 9+ years of software and systems architecture experience, with a proven ability to design and lead complex technical platforms. Ideally 5+ years of professional experience with AI or machine learning solutions, with a focus on deployment, integration, production readiness, and the practical realities of bringing AI into existing software environments. Strong judgement in systems design, trade-off analysis, platform selection, secure development, scalability, integration, maintainability, and long-term technical ownership. A genuine curiosity about where AI technology is heading, including areas such as agentic systems, MCP-based integrations, LLMOps, retrieval-augmented generation, AI governance, observability, and secure deployment patterns. The ability to apply hard-earned software and architecture experience to today's evolving AI landscape, combining proven engineering discipline with a modern understanding of how AI-enabled systems should and could be built, secured, and operated. Experience acting as technical lead, architect, or senior advisor in customer-facing or internal development initiatives. A collaborative leadership style with the ability to build networks, share knowledge, identify opportunities, and support others. As this position involves work subject to defence secrecy, you will be required to undergo and pass a security clearance, including a background check. Applications will be reviewed after the application deadline due to the summer holiday period. You can send us your application in either Swedish or English. We look forward to receiving your application! Make a difference together with us At Combitech, our employees are the key to building a smarter and more resilient society. We know that the full potential of today's technologies can only be realized when the right people are in the right place, putting them to use. We believe in the power of collective intelligence and experience - something that emerges when people with different skills and perspectives come together. That's why diversity and inclusion are priorities for us, as they are essential for increasing creativity, innovation, engagement, and wellbeing. Want to learn more about what it's like to work with us? Visit our careers pages! Contact person / Hiring manager: albin.boman (@) combitech.com We kindly decline offers of recruitment agency assistance.

CellaVision AB – Lund, Sweden About us CellaVision is a global leader in digital cell morphology within hematology, and our analyzers are trusted in healthcare services around the world. We focus on innovation, working with the latest in programming, digital imaging, and machine learning to provide value to our customers. By joining us, you’ll be part of a creative, skilled team shaping the future of medical technology www.cellavision.com Lead the future of AI-driven diagnostics What if your next role was not only about building advanced AI systems, but also about improving healthcare diagnostics worldwide? At CellaVision, machine learning has been an important part of our technology for more than 30 years. We are now consolidating our expertise into a dedicated machine learning organization, further strengthening capabilities built over decades. We are now looking for a Director Machine Learning to lead this journey. Why this role matters CellaVision is a global leader in digital microscopy for hematology, helping laboratories deliver faster and more accurate diagnoses. Our solutions combine advanced imaging, robotics, and AI-powered analysis to improve patient outcomes worldwide. As Director Machine Learning, you will: Lead and develop a strategically important machine learning organization Work alongside some of the most experienced experts in machine learning and medical image analysis Help shape the future of AI-powered diagnostics in a company where machine learning is already proven, deployed, and used at scale Drive the development of advanced algorithms used in laboratories around the world This is a unique opportunity to combine technical leadership, organizational influence, and meaningful impact on healthcare. Your mission You will lead and develop CellaVision’s machine learning function, with responsibility for both technical excellence and organizational growth. Your responsibilities include: Building, leading, and developing a highly skilled machine learning organization, including a dedicated validation team Driving the design, development, and deployment of advanced machine learning models for medical image analysis Ensuring robustness, performance, and regulatory-grade quality of algorithms Establishing efficient processes, workflows, and ways of working Collaborating cross-functionally to translate clinical and business needs into technical solutions Engaging with universities and research partners to stay up to date with the latest developments in machine learning and AI Ensuring CellaVision remains at the forefront of developments in machine learning and AI As Director Machine Learning, you will play an important role in shaping CellaVision’s long-term machine learning capabilities. You will report to the VP Devices & Software and be part of the Devices & Software division’s management team. Who you are You are an experienced technical leader with deep expertise in machine learning. You enjoy going deep into complex problems while also enabling others to perform at their best. You likely bring: More than 10 years of experience in R&D, including several years in leadership roles Strong expertise in machine learning and AI, ideally within medical imaging Experience delivering machine learning solutions from research to production A track record of building and leading high-performing teams, including senior talent The ability to bridge technical and non-technical stakeholders A structured mindset, with experience working in quality- and regulation-driven environments Experience working in regulated or other quality-critical environments is considered an advantage A strong academic background in applied mathematics, computer science, or a related field A genuine interest in developments within machine learning research and modern AI methods Most importantly, you are motivated by solving meaningful and technically challenging problems together with highly skilled colleagues. Why CellaVision More than three decades of machine learning innovation Technology that contributes directly to faster diagnoses and improved patient care A global company with products used in laboratories in more than 40 countries An engineering-focused environment built on quality, collaboration, and long-term thinking The opportunity to shape and develop a new organizational unit with strong existing expertise and technology Practical details Location: Lund, Sweden Reporting to: VP Devices & Software Travel: Limited Join us At CellaVision, you will combine advanced machine learning, technical leadership, and real-world healthcare impact. If you are ready to help shape the next generation of healthcare diagnostics, we would love to hear from you. In this recruitment process, we are partnering with Radeptus. For any questions regarding the position, please contact Jenny Månsson at +46 703 318 506 or via email at jenny@adeptus.se. Please submit your application here

The Role: Join Neo4j's innovative Generative AI (GenAI) team, where we are advancing cutting-edge AI and machine learning solutions. As a Front-End Engineer, you will play a pivotal role in designing and delivering exceptional user experiences for our GenAI product portfolio. You will contribute to both established and new products as we expand our suite of GenAI offerings. Key Responsibilities ● Develop and maintain intuitive user interfaces for GenAI products using components from our design system. ● Stay informed on emerging UI/UX trends and best practices in GenAI applications. ● Collaborate with cross-functional teams to propose innovative ideas that shape the evolution of our GenAI products and services. ● Provide technical guidance and support to internal teams integrating GenAI features into their applications. Minimum Qualifications ● Demonstrated industry expertise in creating user-focused GenAI applications with intuitive UX design. ● 5+ years of professional experience building front-end applications with React, Tailwind CSS ● Proficiency in front-end development best practices, including CI/CD pipelines, version control systems, and code quality standards

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.

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.

📊 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.

Company description: ... Job description:Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure 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.  Do you enjoy helping people understand how trucks work and seeing others grow through learning?  Do you want to develop our global dealer network and enable trainers and technicians to succeed in an increasingly electrified and software‑driven truck environment? Then you can be the one we are looking for! What do we do?Technical Training is part of the Competence Development (CD) department at Volvo Trucks. CD is responsible for building world class competence across our dealer network by delivering innovative, efficient and people-centric training that strengthens skills, enhances knowledge and supports exceptional customer experiences. Within Competence Development, Technical Training is one of several key training domains. In addition to technical training for workshop technicians, CD also delivers commercial, sales, onboarding and role-based training to support customer facing employees across the dealer network. Together, these areas ensure a holistic and consistent competence development approach. Our mission in CD is to empower both workshop technicians and customer facing roles through modern learning solutions. This includes instructor-led training, digital learning tools, new ways of learning, coaching approaches and initiatives that support attracting, developing and retaining diverse talent in the dealer network. Technical Training focuses on developing and delivering training solutions for workshop technicians, with strong collaboration across CD and with our global training network. We work closely with a global network of trainers through a train the trainer concept, enabling consistent, high quality training delivery while allowing local adaptation. This network is also actively involved in our training development projects. Many technicians in the dealer network work with both Volvo Trucks and Renault Trucks, which is why we cooperate closely with the Technical Training team at Renault Trucks in Lyon. Our work is carried out in close collaboration with: Sales Areas and Market Companies Volvo Trucks Product Management and other head office functions Trucks Technology & Industrial Division Through Competence Development, we contribute to long term capability building, including initiatives such as dealer onboarding, leadership support during change, and the evolution of Volvo VISTA as an integrated part of daily learning and continuous development — more than a competition, but a way to build competence over time. What will you do? In this role, you will: Develop instructor-led training courses and online learning solutions for a global audience Translate complex technical content into clear, structured and engaging learning material Act as a trainer in a train-the-trainer setup, handing over training solutions to market companies and supporting local trainers Deliver training mainly at the Training Centre in Gothenburg, with opportunities to teach at other Volvo locations around the world Work closely with colleagues in Technical Training, technical specialists across the organization, and the global trainer network You will be an important contributor to the continuous improvement of how we develop and deliver technical training, combining structure, creativity and collaboration. QualificationsWe believe great candidates can come from different backgrounds. To succeed in this role, you have: A university degree in a relevant field or equivalent experience Proven experience working with trucks, truck systems and technical training development Solid expertise in electrical systems, ideally gained through hands-on work with Volvo´s Truck electrical architecture Interest in communication, learning and knowledge sharing Experience in structuring and simplifying technical information from multiple sources Strong presentation skills in English Strong technical writing skills in English Confidence in using Office 365 applications A collaborative, open and solution oriented mindset It’s a plus if you have: Experience from workshop or service operations Previous exposure to training, coaching or mentoring A truck driver license The position is based in Gothenburg. Occasional travel is part of the role. At Volvo Trucks we are actively working to establish groupings that will take maximum advantage of the strength inherent in differences in knowledge, experience, age, gender and nationality, etc. We find that well balanced working teams increase group dynamics, creativity and new approaches to solutions. For further information, please contact:Veronica Gonzalez, Director Competence Development Last application date: May 17

At Konecranes, we believe that great customer experience is built on the people behind the Konecranes name. Everything we do, we do with passion and drive. We believe diversity drives business success and is the foundation for our growth. We welcome different backgrounds and skills that enrich our community and we promote a place where we can ALL be ourselves. This is what makes Konecranes a unique place to work. Join our Scandinavian Training Team as a Technical Trainer and play a key role in developing and delivering high-quality technical training for customers, agents, and internal employees. In this role, you will be responsible for planning, delivering, and continuously improving technical training programs. You will ensure that participants gain the knowledge and skills needed to work effectively with our products and systems while contributing to the development of training materials, technical documentation, and digital learning solutions. Key Responsibilities Plan, deliver, and follow up on technical training programs for internal and external participants across Scandinavia. Develop, maintain, and continuously improve training materials, technical manuals, and training programs Deliver both standardized and customized technical training courses at various competency levels. Conduct forklift operator training and issue training certificates and operator licenses. Develop and finalize eLearning content and training programs for different learning levels. Support customers, service engineers, regional trainers, and internal employees with training-related assistance and educational materials. Collaborate cross-functionally to ensure technical content, documentation, and training materials remain accurate and up to date. Additional Tasks Coordinate your own travel arrangements for approved training activities and assist visitors with travel support when required. Ensure a professional and positive experience for training participants and visitors. Gather and share technical insights regarding product functionality and field experiences across the organization. Identify and report issues related to product functionality, drawings, software, and technical documentation. Work closely with the Technical Documentation department to support updates of training and service documentation. We are looking for a passionate and pedagogical professional with strong technical expertise and a genuine interest in sharing knowledge. You should be structured, self-driven, service-minded, and comfortable working in an international environment.You enjoy working with people from different backgrounds and experience levels, and you have the ability to explain complex technical concepts in a clear and engaging way. To succeed in this role, you should have: Strong pedagogical skills and excellent communication abilities. High social competence and a customer- and service-oriented mindset. Strong technical knowledge within hydraulics, electronics, mechanics, and software systems. Extensive product knowledge or the ability to quickly acquire advanced technical product expertise. Experience working with similar machinery or technical products is considered an advantage. High proficiency in English, both written and spoken; additional language skills are a plus. Strong computer skills, including Microsoft Office and digital training/eLearning tools. The ability to work independently, in a structured manner, and effectively across cultures. A collaborative mindset and the ability to build strong relationships across functions and regions. The position is based in Markaryd, Sweden, and requires regular travel within Scandinavia in connection with training activities and customer visits. Please register your application via our career page. The application deadline is August 31. Due to summer holidays, response times may be longer than usual. The selection process will resume and interviews will begin in September. If you have any questions, please contact the hiring manager, David Andersen, Global Training & Documentation Manager, at david.andersen@konecranes.com. We look forward to receiving your application!

Do you want to build a high-performing organization by developing people, capabilities, and a strong learning culture? We are now looking for a Training Manager who will play a key role in strengthening our site’s capability and enabling sustainable operational excellence. About Skruf Skruf Snus began manufacturing snus in 2002 and has since maintained an innovative approach, continually challenging the industry to become a centre of excellence in the production of market-leading snus. As part of Imperial Brands – one of the world’s largest tobacco companies with approximately 26,000 employees across more than 119 markets – you will work in a dynamic and international environment where development and innovation are at the core. The Role In this role, you report to the Process Improvement Manager and work as a key partner to the site leadership team. You will be accountable for defining and driving the site’s capability development strategy, ensuring the organization has the skills, knowledge, and behaviors required to deliver sustainable business performance. You will lead the design and governance of training systems, competency frameworks, and learning processes, supporting the successful deployment of IOS (Imperial Operating System) and enabling operational excellence. This is a role with strong influence across the entire site, where you will shape how people learn, grow, and perform – both today and in the future. Your Tasks Define and lead the site’s capability development strategy aligned with business objectives and operational needs Drive the deployment and sustainability of the IOS Training & Development pillar Own and govern the training and competency management system, including skill matrices and role-based frameworks Ensure effective delivery of onboarding, technical training, compliance, and leadership development programs Maintain robust training governance, certification, and documentation systems, ensuring audit readiness Monitor and continuously improve training effectiveness through KPIs and capability assessments Build internal capability by developing trainers, coaches, and leadership ownership of learning Foster a culture of continuous learning, accountability, and performance across all levels Leverage digital learning tools and data insights to improve training effectiveness and visibility Collaborate cross-functionally with Operations, Engineering, Quality, P&C, and IOS teams Your Profile Bachelor’s degree in Engineering, Business, HR, or a related field Experience managing the full training lifecycle (needs analysis, design, delivery, evaluation, and improvement) Strong experience from FMCG manufacturing or similar environments Good understanding of health and safety practices Experience with Operational Excellence frameworks (IWS, TPM, Lean) is an advantage Experience in change management and project management Strong ability to drive capability building across different functions Fluent in English and Swedish Who you are Your mindset and behaviors are just as important as your experience. We are looking for someone who is passionate about developing people and building a strong learning culture. You are collaborative, structured, and proactive. You take ownership and drive initiatives forward with energy and clarity. You are comfortable working in a changing environment and enjoy translating strategy into practical and scalable learning solutions. You have the ability to influence across all levels of the organization and create engagement around learning and development. You believe that strong capability is the foundation of performance and that investing in people is key to long-term success. You are curious, open to new ideas, and continuously looking for ways to improve both yourself and the organization. What we offer An open and inclusive company culture where you can make a real impact A dynamic and international work environment Competitive salary Opportunities for learning, development, and career progression Company pension scheme and attractive benefits A strong focus on work-life balance Next Steps Does this sound like your next career move? We look forward to receiving your application.

Do you enjoy bringing structure to fast-moving marketing environments? Are you motivated by turning plans into action? Then this could be the role for you. TicTac Learn is one of Europe's leading digital learning partners, helping organisations across the Nordics, DACH and France build smarter learning ecosystems through market-leading tools, our own platform Skillhabit, and expert services. We're looking for a Brand & Marketing Operations Lead to join our team. You will be based at our Malmö office and play a key role in our Brand & Marketing function, ensuring campaigns, projects and content are delivered efficiently, on time and with high quality. Key Responsibilities: Own and develop the marketing calendar and flywheel Coordinate projects, campaigns and content across markets Align teams, agencies and stakeholders to ensure smooth delivery Manage content production, website updates and localisation Quality-assure all marketing material before publication We believe you have: Experience in marketing operations, project management or coordination Strong organisational skills and ability to manage multiple projects Experience working with stakeholders, agencies and international teams Good understanding of digital marketing and content production Fluency in English You are structured, proactive and detail-oriented, with a strong drive to execute. You enjoy coordinating others, creating clarity and ensuring high-quality outcomes. Why join TicTac Learn? A key role in a growing international company Opportunity to shape a modern marketing function Work across multiple European markets A collaborative and expert-driven team About TicTac LearnTicTac Learn is a full-service provider of e-learning and digital learning solutions, helping organizations leverage technology to create effective and engaging learning experiences. Our offerings include e-learning courses, authoring tools, and learning platforms designed to help clients reach their learning goals and full potential. With offices in Malmö and Berlin, we are an international company focused on innovation and customer satisfaction, supporting over 1 million users across five continents. Interested and Want to Learn More?This recruitment is conducted in collaboration with the recruitment agency Jobway. For questions, please contact Celina Sundberg at celina.sundberg@jobway.se. We review applications on a rolling basis, so the position may be filled before the application deadline. All applications are treated confidentially.

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.

SUMMARY OF THE ROLE: As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of LLMs and AI agents in cybersecurity. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with our CTO and product teams to transform cutting-edge AI research into robust, scalable solutions that solve real security challenges. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is perfect for a hands-on ML engineer who has scaled production ML systems across multiple companies, thinks like a product builder, and wants to drive the actual productionization of LLMs and ML to solve significant pain points. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Build Production-Grade Evaluation Systems: Design and implement comprehensive evaluation frameworks that measure agent performance, track improvements over time, and ensure our AI systems deliver consistent value to customers * Drive Experimentation-to-Production Pipeline: Own the entire ML lifecycle from prototype to production, building scalable systems that enable rapid iteration while maintaining reliability and performance in customer environments * Enable Cross-Team ML Integration: Work closely with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value and product differentiation * Optimize AI Agent Performance: Continuously improve our AI agents through systematic experimentation, prompt engineering, and architectural enhancements, measuring success through customer impact and system performance * Scale ML Infrastructure: Build the foundational ML systems, monitoring, and tooling that will support our growth from startup to scale, ensuring we can deploy new capabilities quickly without compromising quality * Partner with Engineering Leadership: Collaborate directly with our CTO through regular check-ins and strategic alignment while operating with high autonomy and self-direction in day-to-day execution * Mentor Through Excellence: Provide natural mentorship to junior ML engineers through code reviews, technical guidance, and sharing practical experience from building production ML systems WHAT YOU NEED TO BE SUCCESSFUL: * Proven Production ML Experience: 6+ years building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments * Deep Neural Networks Foundation: Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools * Product-Focused ML Mindset: Experience building ML systems that solve real business problems, with a track record of integrating classification, prediction, or recommendation systems into actual products customers use * Multi-Company Perspective: Experience across multiple organizations (scale-ups, startups, or combination), giving you practical knowledge of what tools to build vs buy and how to avoid over-engineering * Technical Versatility: Strong Python skills with flexibility across ML frameworks and tools - comfortable adapting to our stack including LangChain, evaluation frameworks, and workflow orchestration tools like Temporal * Self-Directed Leadership: Ability to operate autonomously while maintaining close alignment with leadership, comfortable with frequent check-ins but capable of driving projects independently * Cross-Functional Collaboration: Experience working closely with product teams and potentially customers, translating technical capabilities into business value and user experiences * Nice to Haves: * Experience with AI agents, LLMs, or modern generative AI applications * Cybersecurity domain knowledge or experience applying ML to security challenges * Background at ML-first companies or organizations where ML was core to the product * Experience with modern MLOps practices and cloud-based ML infrastructure * Track record of optimizing model performance and controlling AI system costs WHY JOIN US: * Real-World AI Impact: Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics * Technical Leadership Opportunity: Work directly with our CTO on cutting-edge ML infrastructure while having the autonomy to shape technical decisions and build systems that scale with our hypergrowth * Expert Team Partnership: Join a team of hands-on leaders with experience in Big Tech and Scale-ups, including leadership team members who have been part of multiple acquisitions and an IPO * Build the AI-Native Future: Shape how generative AI transforms cybersecurity from the ground up, establishing ML practices and technical standards that will define the industry * Multiple Growth Pathways: Clear opportunities to grow into Head of ML Engineering, become a domain technical lead, move into customer-facing technical roles, or excel as a senior individual contributor - the choice is yours based on your interests and our needs * Breakthrough Technology: Work at the intersection of generative AI and cybersecurity, building solutions that leverage the latest advances in LLMs and AI agents to solve some of the most pressing challenges security teams face today