Sökresultat för "Problem-based learning"

Arbetsuppgifter: Undervisning i svenska, matematik och idrott. Planering, genomförande och utvärdering av undervisning och projekt. Samarbete med vårdnadshavare och kollegor. Deltagande i skolresor, utflykter och fortbildning. Kvalifikationer: Lärarexamen eller motsvarande. Svenska som modersmål. Erfarenhet av matematik och idrott. Meriterande: Erfarenhet av PBL. Erfarenhet av Montessori. Goda kunskaper i tyska (minst B2). Intresse för flerspråkighet. Läs mer om vår skola på: https://dsg-schule.de/svenska/

Bergas gymnasieutbildning utvecklas och vi söker en lärare i lantbruksdjur och naturbruk till våra elever på naturbruksprogrammet. Vi söker dig som har intresse och relevant erfarenhet för att undervisa i ämnena lantbruksdjur, djurhållning lantbruksdjur, naturbruk och eventuellt djurens biologi. Om tjänsten På Berga är det aldrig är långt från klassrummet till det praktiska arbetet. Vår skola är belägen på en stor gård och har ett lantbruk med odlingar, djur, maskiner och skog. Vår lantbruksutbildning växer och har ett högt söktryck. Utbildning är utformad i samråd med ledande aktörer inom lantbruk och gör eleverna redo för en framtidsbransch samtidigt som de får grundläggande behörighet till fortsatta studier på högskola. Under elevernas tre år på skolan lär de sig att driva ett lantbruk med odlingar, djur och maskiner. Skolan erbjuder allt eleverna behöver för att få en bred och gedigen utbildning inom lantbruk. Utbildningen lägger fokus på djur, natur, teknik och hållbar utveckling. Vi söker nu en lärare i lantbruksdjur, djurhållning lantbruksdjur, naturbruk och eventuellt djurens biologi. Du kommer att ha goda möjligheter att prägla och utveckla vår utbildning. Du är en lösningsinriktad och flexibel person som tycker om att arbeta tillsammans med andra. Eleverna lär sig både praktiskt och teoretiskt. Vi planerar tillsammans för att hitta en röd tråd i utbildningen och undervisningen i djurämnena sker både teoretiskt och praktiskt tillsammans med instruktörer inom lantbruket. En del av arbetsuppgifterna omfattar ett ansvar för elevernas arbetsplatsförlagda lärande. Det innebär kommunikation och samarbete med företag i branschen och besök på arbetsplatser och gårdar. Vi lägger stor vikt vid personlig lämplighet. Kvalifikationer Vi söker dig som är utbildad lärare och har goda kunskaper om arbete med djur i lantbruket. Du är väl förtrogen med det svenska språket och har förmåga att arbeta på ett inspirerande sätt i din undervisning. Du har god kommunikationsförmåga, är självgående och är van att fatta egna beslut. Du är en tydlig och kreativ ledare i klassrummet och anpassar undervisningen utifrån eleverna. Vi förväntar oss att du utifrån dina personliga egenskaper bidrar med engagemang och har ett professionellt förhållningssätt. Vi söker dig som är lösningsinriktad, tycker om att samarbeta och kan skapa förtroendefulla relationer med såväl elever, som kollegor och företag i branschen. Meriterande kvalifikationer · Behörighet inom naturbruk, lantbruksdjur och djurhållning · Lärarerfarenhet · Erfarenhet av APL · Nätverk och kännedom inom branschen · Körkort behörighet B med manuell växellåda Villkor Tillsvidareanställning med 100 % sysselsättningsgrad, med 6 mån provanställning med start i september eller enligt överenskommelse. För att få en anställning på Berga naturbruksgymnasium ska ett utdrag ur belastningsregister uppvisas. Urval- och rekrytering kan komma att ske löpande under ansökningstiden så sök redan idag, dock senast den 2 augusti. Det finns möjlighet till boende på skolans område. Om oss Berga naturbruksgymnasium ligger i Västerhaninge, utanför Stockholm och ägs och drivs av Dille Gård AB. Berga är en gymnasieskola med cirka 250 elever. Skolan erbjuder gymnasieutbildning inom Naturbruksprogrammet med inriktningarna Hästhållning och Lantbruk och har flera profiler inom dessa två inriktningar. Vi erbjuder också anpassad gymnasieskola med programmet för skog, mark och djur samt yrkesintroduktionsprogrammet. Vi driver ett lantbruk med växtodling, nötkreatur och får och har en stor hästverksamhet med eget ridhus. Vi har en härlig gemenskap i personalgruppen som består av ett 60-tal personer. För elever som kommer långväga finns ett internat med plats för drygt 100 boende. Gårdens areal uppgår till 600 hektar åker, skog och betesmark, vilket gör att skolan har ett unikt läge i Stockholms län med bara 30 minuter med pendeltåg från Stockholms centralstation. Sedan 1921 har ungdomar utbildat sig inom lantbruk på Berga, även om gårdens historia sträcker sig betydligt längre tillbaka i tiden än så. Läs mer på vår hemsida: www.bergagymnasium.se Varmt välkommen med din ansökan!

Västerbergslagens utbildningsförbund, VBU, är ett kommunalförbund som bedriver gymnasial utbildning, vuxenutbildning, yrkeshögskoleutbildning och uppdragsutbildning. Vi arbetar på uppdrag av Ludvika och Smedjebackens kommuner. VBU har ca 220 anställda, ca 1 800 elever och omsätter ca 225 Mkr. Vår verksamhet bedrivs i Ludvika, Smedjebacken och Grängesberg. Mer information om våra olika skolor hittar du på vår hemsida. Dina arbetsuppgifter Vi söker dig som vill undervisa på Fordons- och transportprogrammet. Du vill handleda och stötta elever i deras utbildning gällande B, C, CE-körkort, truck, hjullastare och YKB. Du planerar din undervisning i enlighet med skolans gällande styrdokument. I uppdraget ingår även kontakt och utbildning av handledare och uppföljning av eleverna på deras APL. Som lärare på VBU står du för ett ledarskap som är tryggt och utmanande och du skapar förtroendefulla relationer med hög delaktighet. Vidare kommunicerar och formulerar du mål och utvärderar arbetssätt, metoder och måluppfyllelse tillsammans med elever och kollegor i det dagliga arbetet. Du har god förståelse för hur elever tillgodogör sig kunskaper och tar hänsyn till deras olika förutsättningar. Kvalifikationer/ Meriter Du har yrkeserfarenhet från fordons- och transportbranschen och innehar körkort B, C, CE och YKB. Meriterande är lärarlegitimation som yrkeslärare på Fordon- och transportprogrammet, erfarenhet av undervisning, yrkesbevis för hjullastare samt truckkort B1 och/eller kunskaper inom anläggningssidan. En förutsättning för att kunna trivas hos oss är att du, på samma sätt som vi, tror på att det går att skapa en av Sveriges bästa skolor och arbetsplatser genom hög kvalitet, delaktighet, trygghet, samarbete, tydlighet och respekt. Personliga egenskaper Som person vill vi att du har goda ledaregenskaper du tycker om och ser vinster i att arbeta mot uppsatta mål tillsammans med andra, du möter alla elever utifrån deras individuella förutsättningar och arbetar för att de ska nå sin fulla potential, du är pedagogisk och har stort tålamod, du är medveten om att vi är varandras arbetsmiljö, har en positiv människosyn och kan skapa goda relationer till elever, kollegor och vårdnadshavare, du är en nyfiken person som söker utmaningar, är lugn, positiv, stresstålig och ansvarstagande, du är lösningsfokuserad och har förmåga att förebygga och lösa eventuella konflikter du är noggrann, flexibel och lyhörd för elevers och kollegors behov, du har god förmåga att uttrycka dig i tal och skrift, dokumentera och använda digitala verktyg. Vi lägger mycket stor vikt vid personlig lämplighet. Om anställningsvillkoren Tjänsten är en ferietjänst och tillsvidareanställning med start 2026-08-10. Tjänstgöringsgrad 100%. Vi tillämpar i vissa fall provanställning upp till 6 månader samt begär uppvisande av utdrag ur belastningsregistret vid anställning. Mer information om skolenheten och uppdraget får du under rekryteringsprocessen. Om ansökan Du ansöker genom att registrera din profil och bifoga ett personligt brev och CV i vårt rekryteringssystem. Bifoga relevanta examensbevis och/eller tjänstgöringsintyg. Sista ansökningsdag är den 2026-08-01. Intervjuer sker fortlöpande och tillsättning kan ske innan sista ansökningsdag. Din ansökan är allmän handling och dina personuppgifter hanteras enligt GDPR. Vi undanber oss alla erbjudanden om kandidatförmedling och annonserings- och rekryteringshjälp i samband med denna annons. Varmt välkommen med din ansökan! Kontaktpersoner Susann Sjökvist Biträdande rektor Malmenskolan Tel 070- 378 22 19 Epost susann.sjokvist@vbu.ludvika.se Anja Eriksson Rektor Malmenskolan Tel: 0240-865 85 Epost: anja.eriksson@vbu.ludvika.se Maria Berg Sveriges Lärare Tel: 0240-66 77 03 Epost: maria.berg@vbu.ludvika.se

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

Do you enjoy helping others build confidence with digital skills? Are you passionate about teaching and making digital tools accessible to everyone? We are looking for an enthusiastic and patient IT Teacher to join our project team for an Arvsfond’s project. About the role As an IT Teacher, you will plan and deliver practical IT and digital skills training for the project's target group which is refugees and migrants with disabilities. Your mission is to help participants become more confident and independent in using digital tools in everyday life, education, work, and society. You will create an inclusive and supportive learning environment where participants can learn at their own pace, regardless of their previous experience or digital skills. Outcome of the project will be a method on how to adapt other projects/courses to meet the needs of this target group. Your responsibilities In this role, you will: Plan and deliver IT lessons, workshops, and practical training sessions. Teach everyday digital skills, including computer use, internet safety, email, digital communication, online services, digital meetings, apps, and accessibility tools. Develop and adapt teaching materials that are clear, accessible, and easy to understand. Provide individual support to participants when needed. Encourage safe and responsible use of digital technologies. Document participant attendance, progress, and learning outcomes. Collect participant feedback and adapt teaching methods based on their needs. Contribute to project evaluation and reporting. Collaborate closely with the Project Leader, project staff, partner organizations, and participants. Help identify barriers to digital participation and contribute to developing sustainable teaching methods for future use. We are looking for someone who Has good knowledge of everyday digital tools and IT. Has experience in teaching, training, coaching, or facilitating learning. Can explain technical topics in a simple, patient, and encouraging way. Has excellent communication skills in Swedish and English. Can adapt teaching to people with different backgrounds, language levels, learning needs and disabilities. Is organized, flexible, and solution-oriented. Enjoys working with people with disabilities and creating an inclusive learning environment. Experience working with the project's target group or within adult education, community education, or digital inclusion initiatives is considered an advantage but not a requirement. We offer An opportunity to make a meaningful difference by increasing digital inclusion. A varied and rewarding role within an engaging project. A collaborative and supportive working environment. The opportunity to help develop a method handbook, accessible teaching methods and materials that can continue beyond the project period. Employment details Position: IT Teacher Employment type: Part-time (50%) Project-based employment (employment conditions according to project agreement) Reporting to: Project Leader If you are passionate about digital inclusion and enjoy helping people with disabilities develop new skills, we would be delighted to receive your application. Specific address will be provided later.

WHY OATLY? Across the world people’s consumption habits and diets are evolving to be more plant-based. Enter Oatly, the #1 oat based dairy alternative producer in the world with products spanning multiple categories. We’re determined to be part of the discussion on the long-term future of the food and beverage industry. To keep this movement going, we need more brilliant minds to come work with us to keep the momentum going and the Oatly flowing. Our sole purpose as a company is to make it easy for people to turn what they eat and drink into personal moments of healthy joy without recklessly taxing the planet’s resources in the process. Sustainability, nutritional health, and trust are at the heart of what we do. We are building a culture that constantly upgrades to each other so we can upgrade the planet. This is a company that shows great respect and a fearless approach to make positive changes. Does this feel exciting? Well, this is where you come in. WHAT WE NEED YOU TO DO Guess what! Every single department inside Oatly has a role to play in making their area more sustainable. We believe that all our people are contributing to this quest, and in this temporary assignment during 14 months starting from the 1st of September, you will be supporting our Master Data team in their work updating our vendor, customer and product data. Basically, you'll get to work with the master data file (obviously!), and the related automations we are building around that! But most importantly of all, whilst getting some practical experience you will also contribute to a more sustainable planet! More fun things you would do: Work closely with IT and Data/Master Data topics, contributing to improved data quality and structure. Support with maintaining accurate and consistent master data in D365, including validating and updating information according to our governance standards. Help identify data issues and contribute to root-cause analysis and process improvements. Handle various tasks within data and product administration, ensuring accuracy and smooth processes. Work in a structured and compliance-focused environment, helping with documentation and ensuring our data processes are followed consistently. Perform and enjoy administrative work, providing reliable support to the team and stakeholders. Apply your post-secondary knowledge from IT, engineering or related fields (1+ year) to drive operational efficiency. Communicate confidently in English, both spoken and written, as part of our global environment. But, you know. These are just the things we can think of right now! This might be the job today, but tomorrow brings more change, so being light on your feet and willing to embrace the unknown is a verrrrrry big help. ARE YOU THE OATSOME PERSON WE ARE LOOKING FOR? You have read about the role and now your imagination is flying at full speed. Here are the qualities we are looking for… do you recognize them in yourself? Bachelor’s degree in Information Systems, Business, or similar work experience. Experience with ERP systems, ideally Microsoft Dynamics 365. Experience with Logic Apps or Power Apps/Automate Experience with data quality tools or processes. WHO WE NEED YOU TO BE You’re curious by nature and love figuring things out. You enjoy solving problems and turning challenges into simple, smart solutions. You like staying organized, but you’re flexible enough to roll with whatever comes your way. You take ownership of your work and follow through — it’s just how you’re wired. You appreciate good teamwork and enjoy learning from others. You communicate clearly and help make things easier for the people around you. YOUR APPLICATION Phew! Well done if you’ve got this far. We’re glad we’ve still got your attention because we’ve got one last super important point to make. As you can probably know, we’re a norm-breaking company. For us, diversity and differences are an obvious asset. We know that amazing candidates can sometimes be put off applying for a job unless they can tick every box, and that makes us really sad. So please trust your gut and pop in your application if it’s feeling right. If you have the curiosity, passion, and collaborative spirit, let’s do this together! It will be fun! Last day of application: 28th July. We treat all candidates equally: If you are interested, please apply through our application system - any correspondence should come from there. This will ensure that the candidate experience is smooth and fair to everyone! Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

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

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

About Repli5 Repli5 is a Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, called RealSim, leverages gen AI to bridge the gap between synthetic data and reality. This is particularly useful for creating accurate, realistic training data for computer vision models, which is essential in developing solutions for industrial robotics, autonomous drones, smart factories, and select automotive applications. Our technology is also capable of enhancing real-world images by introducing extensive weather and lighting variations, which significantly increases the robustness of downstream computer vision models. We are now packaging this tech into a platform service built for computer vision engineers. The Opportunity: Build the Engine of our Future We are looking for a highly driven Founding Software Product Engineer - Repli5 Platform to take the reins on our core cloud platform. This is a rare "greenfield" opportunity: you will be architecting and building out the platform from the ground up, allowing users to effortlessly generate computer vision training datasets. As a pivotal early member of our startup, you won't just be writing code—you will lead our platform development. You will sit at the intersection of our users, our 3D artists, and our Machine Learning engineers, translating complex generative AI capabilities into a seamless, scalable user experience. If you love the autonomy of a startup, thrive on making high-level architectural decisions, and want to build a product that directly impacts the future of autonomous systems and robotics, this is the role for you. What You Will Do (Key Responsibilities) Architect & Build: Lead the end-to-end full-stack development of our user-facing cloud platform, owning the technical roadmap and tech stack decisions. Product Lead: Lead the development of the platform product and ensure we are building features that solve real problems for our clients in robotics, drones, and manufacturing. Design for Flexibility: Create a robust architecture that thrives as a cloud-native application today, but is adaptable enough to be packaged for strict on-premise enterprise deployments tomorrow. Bridge the Gap: Work closely with our Software, Machine Learning, and 3D teams. You don't need to be an ML scientist, but you will integrate generative AI features and distributed training pipelines into the platform. Drive Engineering Culture: Set the standard for clean code, scalable architecture, and platform security as we grow the team around you. Who You Are (Qualifications) The Essentials: Minimum of 5 years of proven experience in full-stack software development with strong programming skills in modern frameworks (e.g., SvelteKit/React for frontend; Python/Node.js/Go for backend). Cloud & Infrastructure Guru: Deep experience architecting and deploying cloud platforms and practical knowledge of containerization/orchestration for both cloud and on-prem environments, as well as DevOps skills and experience in GPU-based services. Product Mindset: You have experience with, or a strong appetite for, Product Management/Product Ownership. You care just as much about why you are building something as how you are building it. The Startup Gene: You excel in fast-paced, ambiguous environments where you can take initiative and work independently. Cross-Disciplinary Curiosity (Big Plus!): A strong interest in or exposure to 3D creation (e.g., Unreal Engine, Blender) and/or Machine Learning (specifically Generative AI or Stable Diffusion). Understanding these domains will give you a massive advantage in collaborating with our specialized team members! A Team Player: A problem solving intellect with a team player spirit and a positive can-do attitude. What We Offer A competitive salary, pension, insurances and Stock Options. Healthy work-life balance. Challenging tasks that are at the forefront of technology. The autonomy to make major technical decisions and influence the product direction. An international, caring culture where it is natural to both ask for and offer help. Flexible working hours and the possibility to work from home some days a week. Fun at work. Recruitment Process Application Review First Interview (1-1 with COO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical interview (with 2-3 from the Repli5 team). You're given a technical problem related to the position and you are expected to present how you would solve this. This is followed by general technical questions Final stage is a sync with the CEO.

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

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a data scientist, you will turn data into meaningful insights using analytics and machine learning techniques. You are comfortable working independently on innovative projects to require, amongst others, to design, train and evaluate models to analyze sensor signals and other engineering data.   You will collaborate closely with other data scientists and data engineers across different disciplines. You’ll contribute by sharing your knowledge and learning from others as you help evolve our methods, tools, and best practices.   This role suits someone who enjoys building, exploring, and delivering high‑quality analysis that drives real impact.  What you'll bring You have a strong quantitative background, with a Master’s in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 3+ years of experience in a data science or similar role. You have experience in all stages of data science projects: framing questions, analyzing data, modeling, interpreting results, and communicating insights.   You may have experience in several of the following areas (you do not need to meet all of them):  Experience with Python and aware of software and data engineering practices for production systems  Familiar with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  Experience building data pipelines on platforms such as Databricks or Snowflake  Understanding and experience applying in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with developing generative AI or LLM-based applications     Beneficial to have: Familiar with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge    We value how you collaborate as much as your technical skills. You should approach problems with curiosity and creativity as well as communicate clearly with both technical and non‑technical colleagues. You would take ownership and follow through as well as open discussions and multidisciplinary teamwork.

TECHLA is a growing consulting company based in Gothenburg, specializing in Embedded Systems, Full-Stack Development, and DevOps. We’ve chosen to build our company a little differently from many traditional consulting firms. Rather than chasing rapid growth, we focus on building long-term relationships with both our clients and our consultants. We believe in transparency, short decision-making paths, and creating an environment where our consultants can grow professionally while being rewarded with a larger share of the value they create. We believe that successful teams are built on trust, continuous learning, and close collaboration. TECHLA is now looking for an experienced system profile within 5G RAN/Baseband for an exciting consulting assignment in Gothenburg. This role is a great fit for someone with a strong technical interest in radio systems, communication theory, signal processing and the development of functionality in modern mobile networks. About the role In this role, you will work with system development within 5G RAN, focusing on developing, analyzing and improving the performance of baseband-related functionality. The work may include areas such as radio resource management, scheduling, link adaptation, time-critical communication, antenna control and optimization of 5G network performance. You will work closely with development, design and test teams and be involved throughout the development chain, from early ideas, analysis and specification to implementation, verification and deployment of new features. Examples of responsibilities: Design and specification of algorithms within RAN/Baseband Systemization and requirements breakdown for new base station features Analysis and optimization of 5G network performance Work related to radio resources, scheduling, link adaptation and antenna control Support to design and test teams throughout the development process Analysis of fault reports and technical issues on system level Contribute to the development of new features from early concept to customer-facing product environments We believe you have Experience from 5G RAN, Baseband or similar telecom systems Good understanding of 3GPP-based communication systems, such as 3G, 4G/LTE and 5G NR Experience from the lower layers of the protocol stack, such as L1/L2, PHY or MAC Knowledge within communication theory, signal processing or radio algorithms Experience from system work, algorithm design, technical analysis or performance optimization The ability to understand complex technical problems and drive them forward Good English skills, both spoken and written It is meritorious if you have Previous experience from Ericsson, Combitech or another RAN/Baseband-related environment Experience with scheduling, link adaptation, RRM, MIMO, beamforming or antenna control Experience with Python, C, MATLAB or similar tools for analysis, simulation or performance evaluation A Master of Science or Ph.D. within Electrical Engineering, Engineering Physics, Computer Science, Telecom, Communication Technology or a similar field Experience using AI tools in technical development work Swedish language skills Who you are We believe that you are analytical, curious and technically driven. You enjoy working with complex systems where you can combine theoretical understanding with practical problem-solving. You collaborate well with other specialists and like contributing your expertise in a team working together to develop the mobile networks of the future. You are self-driven, structured and motivated to continuously develop your expertise within advanced telecom technology. If that sounds like the kind of environment you'd like to be part of, we'd love to hear from you. Feel free to reach out at johanna.bornemyr@techla.se or submit your application, and we'll be happy to tell you more.

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

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

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 an agile team building AI-powered analytics solutions for intelligent connected devices. In this role, you will help create computer vision applications that need to perform reliably in varied real-world environments and use cases. You will work across the full product lifecycle and contribute to solutions where software quality, performance, and robustness matter. This is an exciting opportunity if you want to combine AI, computer vision, and software engineering in a product-focused environment. Job DescriptionYou will develop and maintain computer vision and AI-based software applications. You will design and implement software for Linux-based embedded systems using C++ and Python. You will improve algorithms with a focus on accuracy, robustness, and performance. You will take part in the full software development lifecycle, from design and implementation to testing, validation, and maintenance. You will use a data-driven approach to analyze results and continuously improve solution quality. You will collaborate closely with software developers, AI engineers, and other specialists in cross-functional teams. You will contribute to the development of next-generation AI-powered products. RequirementsMaster's degree in Computer Science, Engineering Physics, Mathematics, or a related field. Experience with, or a strong interest in, Computer Vision, AI, or Machine Learning. Programming experience in C++, Python, and Linux environments. A strong interest in software engineering, algorithm development, and complex technical problem-solving. The ability to work well with others in a collaborative development environment. Nice to haveExperience with data-driven algorithm development. Experience with Machine Learning or AI-based product development. Experience with embedded software development. Experience with performance optimization and software validation. 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.

We put items to better use. Hundred thousand a week actually. Enhancing our technical product is therefore at the top of our agenda. The scale of our operations creates complex, fascinating challenges. We thrive on engineering simple, elegant solutions to tackle them, and we are looking for someone whose craft can make a tangible impact on our rapidly growing customer base. Sellpy’s vision is to empower everyone to live circularly. We believe that every item deserves a second life, and we see huge financial, social and environmental value in making sure this happens. We look for those who share this vision and have the grit to tackle the challenges of building a circular future. Fullstack Engineer at Sellpy Sellpy serves both buyers and sellers, and both sides matter equally. As part of Sellpy Tech, you'll help hundreds of thousands of customers embrace a smarter, more sustainable way to shop. This is work that actually moves the needle on something that matters. We're looking for a Fullstack Engineer who cares about the customer experience and wants to push our technical product forward. This role is a great fit if you want to go deep on JavaScript, enjoy technical discussions, and thrive on real, varied challenges every day. Your ability to build features that integrate cleanly with our architecture and hold up in production is what makes the difference. We code for a circular future — and we build it together. Debates are welcome, opinions are expected, and everyone has a real say in how we shape Sellpy's architecture. In short, you will Build user-centric, next-generation web applications Work with JavaScript, React/React Native & Node across the stack Take ownership of features from idea to release and beyond Ensure scalability, maintainability and simplicity in everything you build Continuously improve Sellpy’s products and architecture Requirements B.S. or M.S. in Computer Science (or related), or equivalent proven experience 3+ years of professional software engineering experience Strong knowledge of JavaScript Experience from a fast-paced product environment Fluency in written and spoken English We’d be impressed if you have Experience with React, React Native, Node.js, Web Components, logging & monitoring Worked in a scaling, product-focused startup Hands-on experience with continuous integration & deployment Knowledge of AWS and Git You get to Be part of a tech-minded company that's driving the change towards a sustainable lifestyle. In return, you will get direction, energy, and work on meaningful challenges daily. Enjoy a vibrant office culture at Medborgarplatsen, balanced with hands-on experience at our production sites Work with highly skilled and motivated colleagues Gain new skills with unlimited access to a learning platform Make use of prepaid vacation Enjoy Sellpy credits and staff discounts at Sellpy and the H&M brands (Arket, COS, Other Stories, Weekday and more). Save up with a monthly pension plan Engagement in Sellpy’s social traditions with game nights, interactive planning days, guest speakers and other activities. Location On-site collaboration at our core, supported by a flexible hybrid setup on set days. This specific role is based at our Medborgarplatsen office. Hybrid work We value being together. After an on-site onboarding, we aim for a balanced office presence, with flexibility based on your team and tasks. Form of employment: Full-time Start: As agreed upon Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.