Sökresultat för "Machine Programming"

Till expansivt och växande företag i Borås söker vi stans/laseroperatör för omgående rekrytering Du kommer att arbeta som stans/laseroperatör i företagets produktion. Du kommer att arbeta med Amadas maskiner varför det är viktigt att du har tidigare erfarenhet av deras utrustning. Som laseroperatör är du en viktig resurs i företagets produktion. I dina arbetsuppgifter ingår att köra och programmera stans och lasermaskiner samt även utföra enklare maskinunderhåll. Erfarenhet av ritningsläsning är meriterande. För att vara aktuell för tjänsten ser vi gärna att du har: Tidigare erfarenhet av arbete med att ställa moderna maskiner (Amada) Kunskaper i ritningsläsning Kunskaper i mätteknik Bra kunskaper i svenska – både tal och skrift Det är meriterande om du har en industriteknisk utbildning eller annan utbildning som är likvärdig. Anställningen är idagsläget på heltid och dagtid. Ansökan Varmt välkommen med din ansökan via ansökningslänk nedan! Ansökningarna behandlas löpande och konfidentiellt. Observera att vi ej har möjlighet att behandla ansökningar som inkommer via mail eller andra kanaler. Vid frågor om tjänsten når du oss under vardagar, kl. 08-17 på 042-21 02 99. Läs gärna mer om oss på www.processbemanning.se. Om Processbemanning Processbemanning AB är ett nischat rekryterings- och bemanningsföretag. Med kontor i Göteborg och huvudkontor i Helsingborg genomför vi uppdrag i hela Skåne och Västra Götaland. Som rekryteringskonsulter har vi flera års erfarenhet av rekrytering och bemanning. Genom vår metodik och vårt breda branschnätverk kan vi erbjuda dig som arbetsgivare kvalificerade personallösningar på såväl kollektiv- som tjänstemannasidan. Som anställd hos oss har du en trygg anställning med kollektivavtal i ett auktoriserat bemanningsföretag. Vi har ett stort antal uppdragsgivare i Skåne vilket ger oss stora möjligheter att matcha just din kompetens och profil mot lediga uppdrag. Läs mer om oss på www.processbemanning.se

Programming is your main job - not just running the machine. PN Snedkeri in Vejen, Denmark, is looking for an experienced CNC programmer to join our team. If you enjoy programming, optimizing production, and taking responsibility for quality, we would like to hear from you. Your work Program 5-axis HOMAG CNC machines Set up and start production Optimize CNC programs and production flow Read technical drawings and prepare production Ensure high quality from start to finish We are looking for someone who Has experience with CNC programming (wood, plastic, or metal) Can work independently and solve technical challenges Reads technical drawings confidently Takes responsibility for quality and efficient production You communicate in English It is an advantage if you have experience with Cabinetmaking or furniture production Kitchen or interior manufacturing CAM software such as WoodWOP, Alphacam, IMOS, BiesseWorks, or similar We offer An important role with responsibility from day one Modern CNC machines and professional colleagues A stable, growing company with an informal work environment Good salary based on your experience Opportunities to develop your skills Gross salary before tax from 25 EUR- 31 EUR per hourApprox 180 Hours per month. Pension: 8 percent Holiday pay: 12,5 percent corresponding to 5 weeks of paid holiday per year Working hours 06.00-15.00 and Friday 06.00- 12.00. Overtime work possible when the employee works independently also in weekends. Working in Denmark The job is based in Vejen, Southern Denmark. We will help you: Find accommodation close to the company Relocate to Denmark (transport costs covered) Settle into your new workplace and local area The first interview will be held via Microsoft Teams. About PN Snedkeri PN Snedkeri produces high-quality, custom-made interiors for exclusive projects. We combine traditional craftsmanship with modern CNC technology and work with some of Denmark's leading architects. Apply Send your application to sn@pnsnedkeri.dk We review applications continuously, so don't wait to apply. Questions? Contact Stig Nielsen on +45 20 64 15 55 (Monday-Friday, 08:00-14:00). There's 1 vacant position

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.

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 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.

Build the Future of Technology with Professional Galaxy AB Join a network of talented engineers, developers, cloud specialists, and AI innovators working on impactful projects across Sweden and Europe. At Professional Galaxy AB, we connect top tech talent with companies driving digital transformation in areas like cloud computing, software engineering, data, cybersecurity, and artificial intelligence. Explore exciting opportunities and grow your career while working with cutting-edge technologies and forward-thinking teams. Data Scientist (Machine Learning Focus) We are seeking a Data Scientist with a strong background in machine learning and data engineering, with the following experience: Must-have experience: DBT SQL GitHub Agile ways of working Cloud experience (preferably GCP) Python programming Nice to have: Interest in business applications Experience with Kubeflow Assignment Details Application deadline: 2026-04-30 Start date: 2026-05-04 End date: 2026-11-30 How to Apply Are you the right person for this assignment, or do you want to recommend a strong candidate? Please apply directly via the Professional Galaxy AB portal with: Your updated CV Your availability to start A motivation statement describing why you are suitable for this role, referencing previous consulting assignments, education, and personal qualities Please note: Applications via email will not be accepted. All applications must be submitted through the portal to be valid. 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 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.

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description We are now looking for a Junior/Intermediate Embedded Software Engineer on the behalf of our client, Volvo Cars. Let's create the future together At Volvo Cars, we believe that curiosity and a genuine commitment to understanding people are the keys to future success. We are people who care about other people and work together to create new technologies and innovations for safe, sustainable and comfortable mobility. Do you want to be part of us? This is what your new colleagues do: We build a high-performance computer-in-the-car architecture. We are a leader in the paradigm shift taking place in the automotive industry. A key to enabling innovation in areas such as autonomous driving, advanced connectivity and machine learning. Our mission is to create a vehicle computer platform using the latest technology and the latest chip technology combined with more traditional car signaling technology. We are dedicated to delivering platform functions to simplify application development to create a safe, reliable and secure platform solution within Volvo Cars for increased innovation and speed. Within the central execution environment, team Trust is responsible for the Low Power Unit (LPA) computer. Completely developed in-house in Rust. New projects are being prepared, and here we are looking for a young driven software developer. The workplace is in Lund. What you will do: As a Software Engineer for this position, you will: Develop software using the Rust programming language Participate in the design of the system architecture Decompose requirements Create test cases Manage system build and support tools Manage our CI/CD infrastructure Manage and improve the release process Advanced technical R&D investigations Support various work groups and stakeholders Troubleshooting Work in a strong agile team responsible for creating everything from requirements and software architecture to implementation and testing Who are you? We want to work with you who have a keen interest in modern computer technology and want to work in a changing industry and participate in the paradigm shift that is now taking place in the automotive industry. You like to solve problems together with others. You are a customer-oriented person who enjoys being part of a team where you take initiative and are proud of your own and the team's deliveries. You have a strong technical interest in hardware-related programming and the technology behind it. You and your skills: The following skills are required for this position: Knowledge of programming and testing of embedded systems in bare metal format Knowledge of Unix-based tools and processes Good understanding of Automotive Ethernet, including UDP/TCP, and traditional vehicle communication protocols such as CAN and LIN You are fluent in Swedish and English, both spoken and written The following are meritorious, but not a requirement: Strong interest in programming skills in an embedded environment with Rust, C++ or C. You have some skills in requirements review and test design Knowledge of Bash and Python programming You have knowledge of diagnostic protocols such as UDS and DoIP You have worked with Jenkins and/or Zuul CI/CD environments You have worked with system architecture in the automotive industry Self-driven, always curious and passionate person with a talent for problem solving in depth You are an excellent networker and certainly cross-functional with good communication skills Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

The Swedish Museum of Natural History is a government agency with a mandate to promote knowledge, research and interest in our world. It is a prominent research institution and Sweden's largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. 1 job(s). WORK TASKS The Department of Bioinformatics and Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on Floral Traits, Machine Learning and Macro-evolution.  This project aims to investigate the evolution of flower size on oceanic islands by combining phylogenetic comparative methods with machine learning-based extraction of trait data from digitised botanical floras. The successful candidate will develop computational workflows to generate large-scale, standardised datasets of floral traits and use these to test hypotheses about the predictability and drivers of flower-size evolution in island systems.  As a postdoc in this project, you will work with developing methods in ML, integrate macro-phylogenetic tools to understand floral trait evolution on islands.  The preferred start date is 01-10-2026. QUALIFICATIONS Qualifications: • completed a PhD in plant systematics or a related field • Demonstrated expertise in phylogenetic comparative methods and macroevolutionary analyses.  • Strong programming skills in R and experience analysing large, complex biological datasets. • Excellent proficiency in English, both spoken and written. (The research environment is international, therefore English is required. In addition, experience in the following areas will be considered: •  Experience with plant biodiversity data, digitised floras, and/or trait databases. • Interest in natural language processing, large language models, or machine learning applied to biological data. • At least one publication in an international, peer-reviewed journal • At the final application date, no more than three years shall have passed since the doctoral degree was awarded, or since a foreign degree deemed equivalent to a doctoral degree was obtained. If there are special reasons, an earlier degree may also be considered meritorious. Special reasons include leave due to illness, parental leave, elected positions within trade unions, service within the national defence, or other similar circumstances, as well as clinical service or other assignments relevant to the subject area  Personal competences •  Analytical thinking, creativity and the capacity to imagine novel solutions and take initiative. • Ability to collaborate and to carry out research independently • Good communication skills, ability to keep an open mind and communicate your ideas. The selection of eligible candidates will be based on their potential to benefit from the training. The following criteria will be used to assess this potential: documented knowledge in a relevant research field, proficiency in written and spoken English, analytical thinking skills, ability to collaborate, as well as creativity, initiative, and independence. The evaluation will consider previous experience and academic performance, the quality of the degree project, references, relevant experience, interviews, and the candidates written motivation for applying. You have to have your own salary secured. Form of employment: Temporary employment. Duration:, commencement: 2026-10-01 To be considered for this position, you are required to have your own external funding for the project. To be considered for this position, you are required to have your own external funding for the project. Please include the following documents with your application: • CV summarizing your education, positions, and academic work, including scientific publications. • A Research plan (max. 4 pages), including:  - Main objectives, background, methodology, impact, and future potential of the project. - Description of data-driven methods used and/or developed within the project. - Budget, time plan, project risks, and mitigation plan. • Proposal abstract (300 words) • Names and contact details of 2-3 references We advance our knowledge of the natural world, inspiring to better care of our planet. Our ambition is that the employees of The Swedish Museum of Natural History shall represent the diversity in Sweden and we welcome every applicant. We apply an individual, differentiated and objective salary-setting system in accordance with the collective agreements RALS and RALST-T. We have decided upon choices for marketing. Therefore we decline contact with sales agents, recruitment sites and similar.

📊 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 Incipientus AB develops and sells non-invasive, clamp-on pulsed ultrasound based in-line fluid characterization systems for flow visualization in Gothenburg. The instruments are designed to meet Industry 4.0 requirements, providing real-time data on velocity profiles and rheology of industrial liquids with simple installation and no calibration needed. The patented technology is the result of over 16 years of research and collaboration with industrial partners, offering a unique solution in the market as a spin-out from RISE-Research Institutes of Sweden AB. Role Description This is a full-time on-site role for a System Engineer at Incipientus AB in Gothenburg. The System Engineer will be responsible for technical support, software development, electronic engineering, CAD/schematic design, and testing of non-invasive fluid characterization systems. Key tasks include implementing and customizing software solutions, providing technical support, and conducting rigorous testing to ensure optimal product performance. The role also requires local and international travel to customer locations to perform Systems installations/Maintenance. An interest in or good experience with machine learning and AI is a plus. Qualifications and Skills Technical Support and Testing skills Software Development skills, Python Programming and Data Analysis Electronic Engineering and Mechanical Engineering skills Strong analytical and problem-solving abilities Experience in the industrial sector Bachelor’s degree in engineering or related field Good communication and customer support skills EU passport

Zenseact is an applied automotive AI company developing world-leading safety software for AD and ADAS. Our technology encompasses every aspect of automation, from sensor fusion, computer vision, and object detection to positioning and actuation, using a combination of rule-based code and deep learning algorithms. Our software makes a difference. Using AI-based technology to create the ultimate driver support, we’re fighting to end car accidents and make roads safe for everyone. Every year, around 1,4 million people die in traffic while approximately 50 million people get injured. Many get disabled as a result of their injury. We can do better. And we could use your help. One purpose, one product. We’re a software company dedicated to revolutionizing car safety. By designing the complete software stack for autonomous driving and advanced driver-assistance systems, we’re fighting to end car accidents and make roads safe for everyone. That's summarized in our purpose statement: Towards zero. Faster. Culture with people at heart To achieve our mission of saving lives and ending traffic accidents is to go where nobody has before. It requires us to venture into the unknown, pioneering new technology and pushing the frontier of autonomous driving. While there’s no denying our determination and expertise, we must stand united to succeed. By fostering a culture of support and enablement – a place of psychological safety where all of us can thrive – everything else will follow. We call this a people-at-heart culture. Who are you? Strong programming skills within C++, Python, AI/Machine Learning/Deep Learning experience. Exceptional programming skills with Unity3d, Qt Knowledge and experience with OpenCV or OpenGL Knowledge of Deep Learning Frameworks like PyTorch or TensorFlow is a plus Software development experience in one or more general purpose programming languages Insight in the automotive industry and knowledge of MISRA C++, ISO26262 and ASIL Experience of developing embedded real time applications Solid knowledge of systems engineering/architecture Secure knowledge within continuous integration and deployment Experience from defining, building and testing automated toolchains Expert in any ADAS/AD feature An enthusiastic person who thrives in an agile working culture With the skillset and mindset described you have the chance to contribute to our purpose, to go towards zero. Faster. We are really excited to welcome candidates with these skills so don't hesitate to take the chance of a lifetime! Why join When we aim for zero accidents faster, we strive to speed up the transition to safe automation. This is essentially achieved by making cars updatable – like a computer or a phone. With regular software updates, a vehicle can be made safer long after its production. By accelerating improvement loops, shortening development cycles, and deploying high-capacity software quickly, we can make cars safer, faster.

At Lendo, we’re driven by a clear mission: to empower people to make smarter financial decisions. Our work directly impacts how users understand and navigate complex financial journeys, and we take that responsibility seriously. We build our success on a culture where we live by our core values: customer centric, win as a team, focus on execution, and always improve. We are convinced that it is diverse perspectives, differences, and a strong collective drive that allow us to continue evolving. We are always looking for colleagues who wants to grow together with us. About the role We are looking for a Data Scientist to drive business impact through machine learning. We have already created significant value from ML across several areas and see strong opportunities to apply it even more broadly, including marketing, conversion optimization, and operational decision-making. We are looking for a Data Scientist who has successfully created business impact with ML and is energized by delivering measurable results. What you will do Build, deploy, and improve machine learning models that drive measurable impact across domains such as marketing, conversion optimization, and operational efficiency. Design, analyze, and interpret experiments, causal analyses, and marketing mix models (MMM) to guide marketing investments. Be a trusted advisor within ML and partner with product, business, and engineering teams to translate problems into ML solutions. Ensure models deliver continuous business value. About you 3+ years of experience as a Data Scientist, with a track record of shopping models that created measurable business value. Strong modeling expertise with solid foundations in statistics and machine learning, and a clear understanding of when and how to apply different methods Experience designing and interpreting experiments and casual analyses Ability to work effectively with non-technical stakeholders.. Ability to take initiative and drive ML opportunities end-to-end, from problem framing to deployment and measurable business impact. Strong Python programming skills and comfort working in production environments. We believe great people do their best work when they’re trusted. That’s why we offer high autonomy, real ownership and clear accountability. You’ll help create measurable business impact through machine learning in a core growth area, while collaborating with a strong, supportive Data & ML team that values well-being, technical excellence and continuous improvement. You’ll work with a modern tech stack, including production ML systems and generative AI tools, supported by competitive compensation and a flexible hybrid setup. About the recruitment process As part of our recruitment process, we use psychometric testing through HI Assessments. We also perform a mandatory background check on all final candidates. We will always inform you as a candidate before the check is carried out. We look forward to your application!

About the role We are looking for an experienced Software Engineer with deep expertise in building scalable backend systems, distributed microservices, and modern cloud-based infrastructure as well as a demonstrated interest in or experience with GenAI and LLM technologies.  This role is ideal for someone who thrives on solving complex architectural challenges and has a strong track record of building and deploying reliable, high-performance software systems at scale. You will be instrumental in designing core systems, APIs, and data flows, while contributing to the evolution of our infrastructure. You’ll collaborate across cross-functional teams to deliver robust solutions, audiovisual data processing, and modern AI/LLM systems and workflows. Key Responsibilities and Qualifications Design, develop, and maintain scalable backend services using one or more of: TypeScript, Node.js, PHP, and Python Design and build powerful REST APIs. Design and and take full cycle ownership of distributed microservices Familiarity with Generative AI technologies and Large Language Models Design, optimize, and manage relational and NoSQL databases including MySQL, DynamoDB, Redis, and Apache Druid Define and implement infrastructure as code using Terraform on AWS Build and maintain robust CI/CD pipelines 5+ years of professional software development experience Bachelor’s degree in Computer Science, Artificial Intelligence,  Machine Learning or similar field. Proven ability to work in fast-paced, cross-functional environments Nice to have Solid foundation in machine learning, AI, and statistical methods Hands-on experience deploying and managing both cloud-native and self-hosted services Experience with VOIP telephony stacks including Asterisk and Kamailio Our ways of working Each team has clear responsibilities and goals and the freedom to collaborate on the optimal design for the products and solutions we build. We want to hear your opinion! We have an agile approach to processes and teamwork and we constantly evaluate and adapt. Our Product and UX teams are closely integrated with development. We use modern frameworks and the best tools available. We work flexibly and have fun at work. Delivering customer value is as important as the wellbeing of our friends and colleagues. We value personal growth and encourage learning, and embrace every opportunity to share knowledge in the team. Where you’ll be and how you’ll work We have three offices: London, Uppsala and Paris. This role is based in the Uppsala office. We work business hours, but we understand that life sometimes gets in the way. Kaisa Culture What makes Kaisa stand out? Our values, guiding us every day: Innovate with Agility - We move fast, think creatively, and adapt seamlessly. Win Together - Success is a team effort, and we celebrate it as one. Own It - Accountability drives progress, and we take pride in our work. Champion Sustainability and Diversity - We foster inclusivity and make responsible choices. Spread the Vibe - A positive atmosphere fuels great ideas and connections.