Search results for "machine learning"

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

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

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.

Vi har kraften från över 50 000 studenter och medarbetare. Studenter som ger framtidshopp. Medarbetare som varje dag bidrar till att Linköpings universitet tar sig an samtidens utmaningar. Vår värdegrund vilar på trovärdighet, tillit och trygghet. Genom att vara modiga, tänka fritt och göra nytt skapar vi tillsammans, med stora och små handlingar, en bättre framtid. Välkommen att söka jobb hos oss!   Om jobbet Med magnetresonanstomografi (MRT) kan man avbilda hjärtats olika anatomiska strukturer såsom t ex hålrum, klaffar och kärl, mäta och beräkna funktionella förlopp såsom t ex hjärtats rörlighet och blodflöde, samt undersöka hjärtats vävnadskarakteristik. Som forskningsingenjör kommer du att arbeta med bearbetning av MRT-bilder av blodkärl och blodflöde i hjärt-kärlsystemet med maskininlärningsmetoder. Arbetsuppgifterna innefattar att utveckla, implementera och utvärdera nya metoder för att generera flödesinformation från angiografiska MRT-bilder och att analysera stora datamängder utan att reducera bildinformationen till fördefinierade mått. Forskningen genomförs i samarbete med seniora forskare och doktorander i forskargruppen för kardiovaskulär bildtagning och modellering. En forskningsingenjör ska i huvudsak bedriva forskning, både i samarbete med andra och i egna projekt. Handledning kan ingå i arbetsuppgifterna. Mindre del undervisning också kan ingå i arbetsuppgifterna, dock till högst en femtedel av arbetstiden. Om dig Vi söker dig som har en bakgrund inom statistik och maskinlärning, god kommunikationsförmåga samt har lätt för att samarbeta med andra samtidigt som du har förmågan att arbeta självständigt. Du har vidare goda engelska språkkunskaper både när det gäller i tal och skrift, då vi inom gruppen huvudsakligen kommunicerar på engelska. Vi vill att du har: Har läst statistik och maskinlärning på masternivå Genomfört examensarbete inom statistik och maskinlärning, gärna med tillämpning inom kardiovaskulär MRT Erfarenhet av kardiovaskulär MRT Det är meriterande om du har: Erfarenhet av deep learning för bearbetning av analys av MRT-bilder, helst inriktat på frågeställningar som rör kardiovaskulärt blodflöde. Din arbetsplats Du kommer att arbeta på Avdelningen för Diagnostik och Specialistmedicin (https://liu.se/organisation/liu/hmv/disp) och Enheten för Kardiovaskulära Vetenskaper (KAV). Anställningen är ansluten till Centrum för medicinsk bildvetenskap och visualisering (http://www.liu.se/cmiv). CMIV är ett tvärvetenskapligt forskningscentrum inom Linköpings universitet som bedriver fokuserad frontlinjeforskning inom tvärvetenskapliga projekt som tillhandahåller lösningar på morgondagens kliniska frågeställningar. Den tvärvetenskapliga forskargruppen inom kardiovaskulär bildtagning och modellering (https://liu.se/forskning/kardiovaskular-bildtagning-och-modellering) inom CMIV, bedriver teknisk utveckling och tillämpning av avancerade MRT och DT metoder inom det kardiovaskulära området, vilket är ett av fokusområdena vid CMIV. Om anställningen Tillträde enligt överenskommelse, senast den 1 sept 2026. Säkerhetskontroll kan komma att genomföras innan beslut om anställning fattas. Lön och förmåner Linköpings universitet tillämpar individuell lönesättning. Läs mer om förmåner för anställda https://liu.se/jobba-pa-liu/formaner. Fackliga kontaktpersoner Information om fackliga kontaktpersoner, se https://liu.se/jobba-pa-liu/hjalp-for-sokande. Ansökan Välkommen att skicka in din ansökan med CV och ansökningsbrev senast den 21 juli 2026. Du söker denna anställning genom att klicka på knappen "Ansök" här nedan. Ansökan som inkommer efter sista ansökningsdag kommer inte att beaktas. Urval kommer att ske under augusti.   Vi välkomnar sökande med olika bakgrund, erfarenheter och perspektiv, det berikar och utvecklar vår verksamhet. För oss är det självklart att värna om allas lika värde, rättigheter och möjligheter. Läs om vårt arbete med https://liu.se/artikel/lika-villkor/.   Välkommen med din ansökan!   Linköpings universitet har upphandlade avtal och undanber oss direktkontakt från bemannings- och rekryteringsföretag samt försäljare av platsannonser.

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

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

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

Om oss På Techrytera AB börjar rekryteringen med dig. Vi är ett bemannings- och rekryteringsföretag med spetskompetens och ett tydligt fokus inom IT och Engineering. Med vår branschkunskap och nära dialog med både kandidater och kunder skapar vi träffsäkra matchningar där rätt kompetens möter rätt behov. Vi tror att en riktigt bra matchning inte bara handlar om en rollbeskrivning – utan om dina erfarenheter, din potential och vad du faktiskt vill utvecklas inom. Därför utgår vi alltid från individen. Genom att förstå din bakgrund, dina drivkrafter och dina ambitioner kan vi koppla ihop dig med uppdrag och roller hos våra kunder där du får rätt förutsättningar att utvecklas och göra skillnad. Vårt mål är att bygga långsiktiga och meningsfulla samarbeten – både för dig som kandidat och för våra kunder. Arbetsbeskrivning Kundsöker nu stöd att utveckla och implementera skalbara lösningar för avancerad analys med hjälp av AI. Du blir en del i ett nystartat team med tvärfunktionella kompetenser med ansvar att utveckla och livscykelhantera AI-tillämpningar för myndigheten, främst med fokus på avancerad analys. I arbetet ingår att implementera en ny analysplattform vilket innebär många kontaktytor inom Tullverket, tex våra enheter inom IT-drift, likväl som externa kontakter. Du förväntas delta i att vidareutveckla och förfina våra arbetssätt, metoder, riktlinjer och mallar samt vara en lagspelare som bidrar med tidigare erfarenhet inom AI. Teamet har ett agilt arbetssätt med visuell styrning i form av scrum- och kanbantavlor. Inom kunds förvaltning används ITIL för hantering av incidenter, problem och förändringar och för detta används ett ärendehanteringsverktyg. Skakrav: Dokumenterad erfarenhet att implementera samt produktionsätta maskininlärningsmodeller, fem (5) år. Dokumenterad erfarenhet av hela ML-livscykeln – från datainsamling och utveckling till modellträning, utvärdering och driftsättning, fem (5) år. Meriterande: Erfarenhet av MLOps-verktyg och –principer. Erfarenhet av on-premises implementering och driftsättning av AI-lösningar. Erfarenhet inom data engineering och hantering av stora datamängder. Erfarenhet av förvaltningsarbete inom AI Erfarenhet i säkerhetsfrågor kopplat till AI Erfarenhet i juridikfrågor kopplat till AI Ansökan När du söker via Techrytera AB söker du inte bara ett jobb – du påbörjar en dialog om din fortsatta karriär. Vi vill lära känna dig, din erfarenhet och dina ambitioner för att kunna matcha dig med rätt möjligheter hos våra kunder. Låter det intressant? Skicka in din ansökan eller hör av dig till oss så berättar vi mer. Vi ser fram emot att hitta nästa steg i din karriär tillsammans med dig.

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/

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

We are looking for a Ph.D. student to conduct ground-breaking research using machine learning methods with the aim of developing a new generation of welding materials. The project is multidisciplinary, and you will work closely together with experts at Chalmers and industry with long and recognized experience of welding science and AI methods. About us The Ph.D. student will be employed at the Division of Energy Technology at the Deptartment of Environmental and Energy Sciences at Chalmers University of Technology. We conduct research and offer education mainly in energy technology and energy systems. Our research focuses on combustion and gasification of biomass, technologies for carbon dioxide avoidance, development of energy materials, and sustainable energy systems. The current project will be carried out in close collaboration with the Division of Chemical Physics at Chalmers, which conducts fundamental research with respect to computational materials using first-principles methods and machine learning approaches. About the research project Welding is, in many ways, the backbone of our society and is prevalent across most industries, including automotive, energy, and manufacturing. Still, the industry is associated with high resource use and depends on certain strategic and critical metals. In this project, financed by the Swedish Energy Agency, you will work closely with industrial partners ESAB and Höganäs, with the overall vision of developing effective algorithms for rapid, robust predictions of welding materials. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits* in the fields of physics, chemistry, chemical engineering, data- or material sciences (or equivalent competence). Strong written and verbal communication skills in English Social competence is important as the position is interdisciplinary, i.e., includes collaboration between two departments at Chalmers and industrial collaborators. *for students with an education earned outside of Sweden, a 4-year Bachelor's degree is accepted. The following experience will strengthen your application: Experience in using or developing machine learning or artificial intelligence algorithms. Experience with first-principle methods for material modelling, such as density functional theory and molecular dynamics. Experience of research or courses exploring thermodynamics, chemistry, or physics of materials such as metals and metal oxides. What you will do Take courses at an advanced level within the Graduate school of Energy, Environment and Systems. Develop your own scientific concepts and communicate the results of your research verbally and in writing The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Development of AI and ML models to establish composition–processing–property relationships in welding materials and to predict new material formulations. This includes both conventional predictive models and generative and active-learning approaches. The research will be conducted in close collaboration with industry, and we envisage that some research time will also be spent at industrial sites. Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility of teaching up to 20%, which extends the position to five years. A starting salary of 35,725 SEK per month (valid from May 1, 2026). Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise, the admission may be withdrawn. What we offer As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees. A dynamic and inspiring working environment in the coastal city of Gothenburg. Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers here. Application procedure The application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal letter A brief introduction about yourself. A brief motivation as to why you are interested in this position. Bachelor's and, if available, master's thesis together with the transcripts. Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than July 30, 2026 For questions, please contact: Name Tobias Mattisson Professor tm@chalmers.se, +46-31-7721425. Name Anders Hellman Professor anders.hellman@chalmers.se, +46-31-7725611 We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.

Är du en AI/ML-utvecklare med bakgrund inom mjukvaruutveckling? Vi letar efter dig som drivs av att förstå kundens utmaningar, omsätta behov till hållbara digitala lösningar och bidra till ett team där samarbete och tillit är grunden! Vad vi kommer att göra tillsammans 🤝 AI och Machine Learning blir allt viktigare i många av våra projekt. Som AI/ML-utvecklare bidrar du samt är med och leder regionens arbete inom AI/ML-området och delar din tid i flera aktiviteter. Vi tror att dina arbetsuppgifter kan se ut såhär: I tidiga faser av projekt, som t.ex. införsäljning och förstudier, bidrar du med att se potential, affärsmöjligheter och hjälper kunden att förstå AI. Du tar fram Proof-of-Concepts och utvecklar lösningar, från datahantering till ML-träning och deploy. I utvecklingsfasen bidrar du hands-on och driver arbetet med att integrera AI samt stötta våra utvecklare och kunder. I projektens slutfas hjälper du till med lösningar och rutiner för att säkerställa långsiktig förvaltning av modeller och dataflöden. Då området är relativt nytt för oss i regionen kommer du vara en av de första in på rollen lokalt, men ingår i koncernens AI-grupp med fler kollegor från olika kontor. Vi ser flera möjligheter där du också kommer kunna bidra lokalt genom att tillföra kunskap kring AI/Data engineering, och hämta inspiration och kunskap från t.ex. lokala nätverk, för att sedan sprida vidare på vårt kontor i form av workshops, föreläsningar samt i projekten. Om dig 🫵 För oss handlar det inte bara om antal års erfarenhet - vi värdesätter vår konsultmässighet och hur vi agerar. Vi tror att du är kommunikativ och lyhörd, och agerar förtroendeingivande gentemot både kund och kollegor. Du har driv och förmåga att ta dig an varierande roller, vilja att söka förbättring, lyfta teamet runt dig och hjälpa kollegor att växa. För att lyckas i rollen ser vi även gärna att du har: Ca. 5 års arbetslivserfarenhet från liknande roll och vana att arbeta med hantering och analys av data. Solida kunskaper inom tekniker för Deep learning, Neurala Nätverk och/eller optimering av modeller för effektiv hantering. God förmåga att uttrycka dig i tal och skrift på svenska och engelska. Vad du får hos oss 🧑‍💻 På Softhouse blir du en del av ett framåtsträvande bolag med korta beslutsvägar och högt i tak. Vi är prestigelösa teamspelare och drivs av att leverera produkter, tjänster och mjukvara av högsta kvalitet. Och, förutom kollegor i världsklass och garanterat roligt på jobbet erbjuder vi även: Möjlighet att vara med och forma strategi och lokalt erbjudande för hur vi arbetar med AI på Softhouse Småland. Möjlighet att utmanas tekniskt med kompetenta kollegor i en mix av kunduppdrag och leveransmodeller. Individuellt anpassad kompetensutveckling och aktiv kunskapsdelning med andra Softhouse-kollegor, både lokalt och över kontoren. En given plats i ett tight team som gillar att ha roligt tillsammans på jobbet, varje dag. Ett värderingsstyrt bolag där vi alla känner igen oss i våra värdeord:Team, Enkelhet, Mod och Passion. Om Softhouse 👀 På Softhouse är vi ca. 300 medarbetare fördelade på 10 kontor. Vi har kodat mjukvara sedan 1996, och tillsammans ser vi till att skapa lösningar som motsvarar våra kunders behov - vi levererar tjänster och mjukvara i världsklass. I Småland hittar du våra konsulter på våra kontor i Växjö och Jönköping. Läs gärna mer om oss här. Låter det intressant? Då ser vi fram emot att ta del av din ansökan! Vi hanterar all rekrytering internt och undanber därför kontakt från externa rekryteringsbolag och annonsförmedlare.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior ML Engineer, you will be working hands-on to optimise the training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Truecaller reach and remain at the cutting edge of ML training and deployment, and to explore new frontiers such as federated learning. What you will do * Understand the current and future needs of developers and the organisation, and create a roadmap with your manager for meeting those needs. * Work with teams across Truecaller, enabling them to deploy models to production quickly and cost-effectively. * Work hands-on with teams throughout Truecaller to optimise ML models for mobile devices. * Be the go-to expert for developing models for mobile devices as well as deploying them. * Staying up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and driving continuous innovation throughout Truecaller. What you bring in * Degree in computer science or equivalent * 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments. * A strong understanding and experience to optimise feature engineering, model training, and model deployment. * Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile). * Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms. * Understanding of both Android and iOS development and how that impacts ML model deployment and usage. * Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines. * A customer-focused mindset. * Excellent communication skills in spoken and written English. What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:   https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

We are looking for a Senior ML Engineer for our client in Stockholm for a long term assignment. Employment type: Fixed Term Contract Duration : 6 Months - 1 Year Location : Stockholm Work type : Onsite ( potential hybrid options) As a Senior ML Engineer, you will be working hands-on to optimise training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Client reach and stay at the cutting edge of ML training and deployment, as well as explore new frontiers such as federated learning. The impact you will create: ● Lead the technical evaluation and implementation of Federated Learning (FL) initiatives . ● Work closely with Data Science, Android, and Backend teams to design and validate end-to-end FL workflows. ● Define and execute experimentation plans to assess the effectiveness of FL for use cases. ● Develop and optimize language models and on-device training pipelines for privacy-preserving machine learning. ● Establish model evaluation frameworks, success metrics, and validation strategies for FL-based systems. ● Identify technical risks, assumptions, and limitations, and provide recommendations on architecture and future direction. ● Help shape the roadmap for scaling FL from experimentation to production-ready systems What you bring in: ● 5+ years of experience in Machine Learning Engineering, Applied Machine Learning, or related fields. ● Hands-on experience with Federated Learning frameworks such as TensorFlow Federated, Flower, FedML, OpenFL, or equivalent. ● Strong understanding of distributed machine learning, model training, and model evaluation techniques. ● Experience working with NLP, language models, embeddings, or text classification systems. ● Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile). ● Strong knowledge of machine learning frameworks such as TensorFlow and PyTorch. ● Experience designing and executing ML experiments, analyzing results, and driving data-driven decisions. ● Familiarity with privacy-preserving machine learning concepts and challenges. ● Ability to work across multiple teams and communicate complex technical concepts to both technical and non-technical stakeholders. ● Strong problem-solving skills and ability to operate in an exploratory research and PoC environment. It would be great if you also have: ● Experience deploying or operating Federated Learning systems in production environments. ● Hands-on experience with on-device machine learning technologies such as TensorFlow Lite, ONNX Runtime Mobile, or Core ML. ● Experience building machine learning solutions for mobile applications. ● Experience in messaging, spam detection, fraud detection, trust & safety, or similar domains. ● Familiarity with the challenges of running ML workloads on mobile devices. ● Experience with MLOps, model monitoring, and automated training/deployment pipelines. Please let us know if you are interested and if yes, then apply to careers@hybrus.se with your CV, including details about Salary, Notice period and Visa Status.

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

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