machine learning

Mycronic is a global high-tech company whose innovative solutions have been advancing electronics technology for over 40 years. Today we continue to grow and serve customers in an expanding variety of industries. What we do impacts the future of technology, and in turn, the way we live our lives tomorrow. We’re looking for people to join our talented, motivated and friendly team on the cutting-edge. Here, in an open, collaborative and flexible environment, you’ll work alongside leading industry experts and take on challenging projects that bring tomorrow’s electronics to life. If you have several years of work experience within software development and embedded systems and wants to be part of a growing company with world leading products, this is for you! About the role Mycronic has experienced strong growth in recent years, both organically and through acquisitions. With headquarters in Sweden, Mycronic is a global organization with subsidiaries, agents, and distributors in over 50 countries. Mycronic is divided into four divisions, and in this role, you will belong to PCB Assembly Solutions (PA). PA is a leading provider of equipment and solutions for surface mount technology (SMT) to electronics manufacturers who require rapid production adjustments while maintaining high efficiency. PA delivers systems for circuit board assembly, including both complete line solutions and individual systems for specific process steps, as well as advanced software for assembly process management and connected factories. In this role, you will be part of a team of 7 team members and collaborate with several functions across the company, such as architects, project managers and other software teams within for example AI. You are offered The opportunity to work in a multi-cultural company with knowledgeable, friendly and goal-oriented colleagues. To work in an exciting company in a growth phase, where you can make a real impact in a fun and dynamic environment. Mycronic is a global company, yet small enough for you to truly make a difference. The opportunity to work with world-leading products. The future of electronics production is increasingly complex. Denser boards, a wider range of miniaturized components, more NPIs and erratic production schedules. To address these challenges Mycronic has developed the industry’s fastest, most flexible and most precise jet printing and solder paste dispensing systems. Mycronic jet printing technology makes it possible to dispense solder paste for the most challenging circuit boards and components, with micrometer accuracy, maximum speed and perfect quality solder joints. Read more here:(https://www.mycronic.com/product-areas/pcb-assembly/products/smt/jet-printing/). Mycronic has a large software organization which will provide you with optimal opportunities to develop your knowledge in various areas of computer science – such as software architecture for robotics, machine learning, AI, optimization, and computer vision. Work tasks You will work in a broad developer role where you will truly have the opportunity to influence the final solution of the products. The Mycronic Jet Printer, which is the product area you will be developing the software for, includes electronics, mechanics, and software, creating exciting opportunities for those who want to work with complex software development involving multiple technical disciplines. We are continuously working to enhance our products' user-friendliness, particularly in terms of automation and user interfaces, which will also be part of your development work. Your primary focus will be on improving the products, with opportunities to contribute your ideas and collaborate as a team to create the best solutions. This may involve anything from adding capability features and reducing energy consumption to updating the GUI. Mycronic has both R&D, lab, and production in-house, meaning you will work close to the products you develop, which also gives you the opportunity to see the "real world" results of your work. We are looking for This is a role for someone with a strong background in software development and an interest in understanding the entire product and an ambition to grow into a software architect role. As a software developer you will have a key role in the product development since this is where all the technology in the machine comes together to provide the system functionality that meets the user. You will be involved in everything from requirements gathering to design, architecture and development and collaborate with several stakeholders. As a person, we see it as particularly important that you are goal- and detail-oriented and have strong collaboration skills. You also have a will to contribute with your ideas, and just like your colleagues, you always strive to develop yourself and contribute to the team´s collective growth. We expect you to make a strong contribution by adding new functionality, maintaining high quality and by helping to introduce new technology and processes to increase team efficiency. You likely have: A master´s degree within computer science, electronics, mechatronics or similar. Strong software development experience with the capability and ambition to take on broader architectural responsibilities in a few years. Strong knowledge in Java. Strong knowledge of software development in Linux. Experience of working with software systems that interact with embedded software and hardware. Strong knowledge in English and good knowledge in Swedish (or have the desire to learn) It is considered advantageous if you have... Knowledge in C and/or C++ Other Information Start date: By agreement Employment type: Permanent Scope: Full-time Location: Kista Contact Information: Senior Recruitment Consultant Johanna Sörell, johanna.sorell@academicwork.se The recruitment process is handled by Academic Work, and Mycronic requests that all questions regarding the process goes to Academic Work. Our recruitment process Problem-solving and personality test Phone interview with Academic Work In-depth interview with Academic Work Interviews with Mycronic Reference check + decision

Netlight is a network organized and technology/product independent which means you will be able to work in many areas and industries, always focusing on your development. Competence development is core and realized through a culture of knowledge sharing, feedback and mentorship. Engagements where IT is business critical and edge. Netlight strives to be a truly diverse, equitable and inclusive organization. Regardless of who you are, what personality, background, and experience you have, you enrich our culture through your values. Netlight’s purpose is to unleash full potential, realize great careers, and fulfill personal growth. To achieve this, we have a highly engaged network organization, where every employee gets a mentor, delivery coach and personal communities. Netlight provides a full range of premium IT-consulting services at the forefront of the digital industry and stands out for its product- and technology-independent expertise in a wide range of industries and clients. We are a network organization of more than 2 000 role models making aspiring digital leaders successful in their business-critical IT projects. Netlight has been awarded several times as top employer, as well as for growth, continued profitability and engagement for diversity, equity and equality within the IT industry. Today we are growing all across Europe, currently with more than 10 active international offices. Application Process We work continuously with finding the best talents on the market and have a dedicated Talent Search team in each office. Your application will be reviewed and we will get in touch within 2 weeks if we find that your profile matches our requirements. Apply by e-mail and attach your CV and a cover letter. Before applying, carefully read through qualifications below. Minimum Qualifications · BSc Degree in Technology · Location (one of the following): Helsinki, Stockholm, Oslo, Munich, Berlin, Hamburg, Frankfurt, Zurich, Copenhagen, Amsterdam · Verbal and written fluency in English · Project experience in one of the fields mentioned in the job description · Passion and potential to learn and grow · Preferred Qualifications · MSc preferably in Technology · Native/fluent speaker: Finnish (Helsinki), Swedish (Stockholm), Norwegian (Oslo), German · (Munich/Berlin/Hamburg/Zurich), Danish (Copenhagen) since we are located in thoes coutries. To our clients its importat to know local language to be able to deliver value, since much work is about local content. To global clients local language is not that important. · Proven Track-record from previous positions (e.g. recognized achievements & deliveries) Industry Information Technology and Services, Computer Software, and Internet Netlight Consulting is looking for professionals with high ambitions and the potential to become our next top consultants. Job description As a consultant at Netlight you will collaborate with top talented colleagues together with market leading clients. A Netlight consultant works with solving complex business critical challenges which demand excellence in innovative thinking and teamwork. You will be working in an international networking organization and will have access to knowledge from Netlight’s consultants all across Europe. Projects range within competencies such as Frontend development, Backend development, Fullstack Development, Architecture, Business Intelligence, Data Engineering, Data Science, Data Analytics, Machine Learning, Cybersecurity, DevOps, Infrastructure, Test Automation, Agile coaching, Project Management, Product Ownership/Management, UX-/UI-/Interaction design and IT Strategy.

Are you passionate about the infrastructure of scalable, secure, and future-proof data platforms that power analytics, AI, and business-critical insights? Do you thrive in environments where automation, cloud technologies, and platform reliability are at the core of everything you do? We're looking for a Data Platform Engineer who wants to play a pivotal role in shaping and operating a modern Azure and Databricks-based data platform that enables data-driven decision-making, advanced analytics, and AI innovation at scale. About the role In this role, you will be responsible for designing, building, and maintaining the infrastructure that supports analytics, reporting, AI, and data product development. You will help establish platform standards, develop automation capabilities, and ensure the platform remains secure, scalable, and resilient. Working closely with Data Architects, Data Engineers, Enterprise Architects, and Security teams, you will drive the evolution of a modern cloud-based platform that enables seamless data ingestion, processing, and consumption across the organization. As a key member of the team, you will manage and optimize Azure Databricks, Azure Data Lake, networking, and supporting platform services. You will implement Infrastructure as Code using Terraform, build and maintain CI/CD pipelines, and create observability frameworks that provide transparency into platform health, performance, and cost efficiency. You will also play an important role in troubleshooting complex issues, improving operational excellence, supporting disaster recovery planning, and enabling AI and machine learning capabilities through robust platform engineering practices. Beyond the technical responsibilities, you will act as a trusted subject matter expert, helping engineering teams adopt cloud platform best practices while continuously driving improvements in reliability, security, governance, and operational efficiency. We're looking for someone who combines a strong engineering foundation with hands-on experience building and operating the infrastructure of enterprise-scale cloud platforms. Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. 5+ years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or similar roles. Proven experience designing, implementing, and operating secure, scalable, and resilient cloud infrastructure in Azure. Experience supporting modern data platforms, analytics, AI, and machine learning workloads. Key technical skills We're looking for someone with strong expertise across several of the following areas: Azure cloud and data platforms, including Azure Databricks Administration, Azure Data Lake, data integration services, and analytics workloads. Infrastructure as Code and platform automation, including Terraform, Git, CI/CD, automated provisioning, and configuration management. Containerized and cloud-native environments, including Kubernetes and Docker. Cloud networking and identity management, including Azure Networking, Entra ID/IAM, DNS, connectivity, private networking, routing, and firewalls. Security, compliance, and governance, including implementation of security controls and governance frameworks within regulated environments. Observability and platform operations, including monitoring, troubleshooting, high availability, platform reliability, and cost optimization (FinOps). Scripting and automation, using Python, PowerShell, or Bash. Nice to have Experience with any of the following would be considered an advantage: Microsoft Purview and Apache Airflow. MLOps and Azure AI Services. Multi-cloud environments. Azure Solutions Architect, Azure Administrator, or Databricks Platform Administrator certifications. Experience from the logistics industry. Language requirements Fluent in English, both written and spoken Swedish, Danish, Finnish, or Norwegian is considered an advantage Who you are You are a curious and proactive engineer who enjoys solving complex challenges and building reliable platforms that create value at scale. With a strong analytical mindset and a passion for troubleshooting, you thrive in environments where continuous improvement, automation, and operational excellence are key. You take a structured approach to problem-solving, have a natural sense of ownership, and are committed to delivering high-quality solutions. At the same time, you're a collaborative team player who builds strong relationships across Engineering, Architecture, Security, and Business teams, enabling effective stakeholder engagement and driving results through cross-functional collaboration. Apply Welcome to submit your application! The selection is ongoing, but please note that due to the summer holiday period, the recruitment process may take longer than usual and response times may therefore be delayed. We appreciate your patience and understanding. If you have any questions or concerns, please email recruiting manager Linda Njeru at linda.njeru@postnord.com. We look forward to hearing from you!  Read more about our union representatives PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

AI förändrar inte bara hur vi arbetar, den förändrar hur företag fattar beslut, utvecklar sina tjänster och skapar värde för sina kunder. Samtidigt växer behovet av moderna dataplattformar, avancerad analys och smart automatisering snabbare än någonsin. För att lyckas krävs mer än rätt teknik. Det krävs projektledare som kan skapa struktur, bygga förtroende och leda komplexa förändringsinitiativ där teknik, verksamhet och människor utvecklas tillsammans. På Edge samarbetar vi med företag och organisationer som investerar i AI, data och digital innovation för att skapa framtidens verksamheter. Nu söker vi fler erfarna AI & Data Project Managers som vill bli en del av vårt nätverk av seniora konsulter. Vi söker inte till ett specifikt uppdrag. Vi söker dig som vill vara redo att leda nästa generations AI- och dataprojekt hos några av Sveriges mest spännande organisationer. Där innovation blir verklighet Som AI & Data Project Manager leder du projekt som hjälper verksamheter att bli mer datadrivna, automatiserade och intelligenta. Du ansvarar för att skapa struktur genom hela projektets livscykel från idé, förstudie och strategi till implementation, förändringsledning och etablering i verksamheten. Du arbetar nära verksamhetschefer, produktägare, data engineers, data scientists, AI-specialister, lösningsarkitekter, utvecklingsteam och externa partners. Din viktigaste uppgift är att skapa samsyn mellan teknik och affär och säkerställa att AI och datainitiativ leder till konkreta resultat. Hos våra kunder kan du leda allt från etablering av moderna dataplattformar och Business Intelligence lösningar till AI-program, avancerad analys, maskininlärning, intelligent automatisering och utveckling av generativa AI-lösningar. Projekt som formar framtidens organisationer Våra kunder driver projekt inom bland annat: AI- och GenAI-initiativ Microsoft Copilot och Copilot Studio Azure AI Services och Azure OpenAI Dataplattformar och Lakehouse-arkitektur Microsoft Fabric Microsoft Azure Data Platform Databricks Snowflake Power BI och Business Intelligence Data Governance och Master Data Management Machine Learning och Predictive Analytics Intelligent Automation och RPA Integration mellan AI-, data- och verksamhetssystem Digital transformation och datadrivet beslutsstöd Gemensamt för projekten är att de kombinerar teknik, verksamhetsutveckling och förändringsledning. Vi tror att du har Du har minst åtta års erfarenhet av projektledning inom IT och har lett större projekt eller program där data, analys, AI eller digitalisering varit en central del av leveransen. Du känner dig trygg i att arbeta i komplexa miljöer med många intressenter och har erfarenhet av att planera, följa upp och styra projekt med ansvar för budget, resurser, kvalitet och leverans. Du behöver inte själv vara data engineer eller AI-specialist, men du har tillräcklig teknisk förståelse för att kunna leda tvärfunktionella team och skapa en effektiv dialog mellan verksamhet och tekniska specialister. Har du erfarenhet av AI-strategier, data governance, moderna molnplattformar eller större transformationsprogram ser vi det som mycket meriterande. Teknik och plattformar vi ofta möter Vi ser gärna att du har erfarenhet av ett eller flera av följande områden: Microsoft Azure Microsoft Fabric Azure Data Factory Azure Synapse Analytics Azure OpenAI Microsoft Copilot Copilot Studio Databricks Snowflake Power BI Microsoft Purview SQL och NoSQL-databaser Python och dataekosystemet AWS eller Google Cloud Platform Machine Learning-plattformar ETL- och ELT-processer API-baserade integrationer DevOps och CI/CD Agila leveransmodeller såsom Scrum, SAFe eller Kanban Det viktigaste är dock inte vilka verktyg du har arbetat med, utan din förmåga att leda människor och skapa framgångsrika leveranser. En projektledare som gör AI begripligt Vi tror att du är nyfiken på ny teknik men samtidigt har ett starkt verksamhetsfokus. Du kan översätta komplexa tekniska resonemang till affärsvärde och skapa förståelse hos beslutsfattare, användare och projektteam. Du är kommunikativ, prestigelös och van att bygga förtroende i organisationer där förändring påverkar många människor. Du drivs av att skapa resultat som består även efter att projektet är avslutat. Ett partnerskap byggt för framtiden På Edge tror vi att de bästa projekten börjar med rätt människor. Därför arbetar vi långsiktigt med våra konsulter och lägger stor vikt vid att förstå dina ambitioner, din kompetens och vilken typ av uppdrag som motiverar dig. Vi samarbetar med kunder inom bland annat finans, industri, energi, offentlig sektor, retail, telekom och life science verksamheter där AI och data blir allt viktigare för affären. Vi välkomnar både dig som vill arbeta som projektanställd och dig som driver eget konsultbolag. För oss är det viktigaste att skapa ett långsiktigt samarbete med några av marknadens främsta projektledare. Välkommen till Edge Om du vill leda projekt som formar framtidens datadrivna och AI-drivna organisationer vill vi gärna komma i kontakt med dig. Skicka gärna ditt CV. Vi arbetar löpande med att matcha våra konsulter mot nya uppdrag och ser fram emot ett förutsättningslöst samtal om hur vi tillsammans kan skapa nästa steg i din karriär. Vi ser fram emot att höra från dig.

Bakom varje framgångsrik digital lösning finns människor som kan skapa struktur i komplexitet, bygga broar mellan teknik och verksamhet och få team att röra sig mot samma mål. På Edge hjälper vi några av Sveriges mest innovativa företag och organisationer att genomföra tekniska förändrings resor från moderna moln plattformar och AI-initiativ till systemutveckling, integrationsprojekt och omfattande moderniseringar av affärskritiska IT-miljöer. Nu söker vi fler erfarna Technical Project Managers som vill bli en del av vårt nätverk av seniora konsulter. Vi söker inte till ett specifikt uppdrag. Vi söker personer som vill vara med och leda de tekniska projekt som formar morgondagens digitala samhälle. Tekniken förändras snabbt, ett tryggt ledarskap består Som Technical Project Manager har du en unik förmåga att förstå både tekniken och verksamhetens behov. Du behöver inte vara den som skriver koden, men du känner dig trygg i dialogen med utvecklare, lösningsarkitekter, produktägare och tekniska specialister. Du vet hur komplexa tekniska miljöer fungerar, hur beroenden påverkar leveranser och hur rätt prioriteringar kan skapa framdrift även när många team arbetar parallellt. Hos våra kunder leder du projekt där tekniken ofta står i centrum, men där framgången avgörs av ledarskap, samarbete och tydlig kommunikation. Från moderna plattformar till affärskritiska leveranser Våra uppdrag omfattar många olika teknikområden. Det kan handla om utveckling av nya digitala tjänster, molnmigreringar, integrationsplattformar, data och AI-initiativ, modernisering av äldre system eller etablering av säker och skalbar infrastruktur. Du kan också komma att leda projekt inom Microsoft Azure, AWS eller Google Cloud, arbeta med API-baserade integrationslösningar, DevOps-initiativ, cybersäkerhet, nätverksmodernisering eller implementation av moderna plattformar för data och analys. Gemensamt för uppdragen är att de kräver en projektledare som kan skapa struktur utan att tappa tempot och som kan omsätta tekniska diskussioner till affärsmässiga beslut. Vi tror att du känner igen dig Du har arbetat med tekniska IT-projekt under många år och känner dig trygg i att leda leveranser där flera utvecklingsteam, arkitekter, verksamhetsrepresentanter och externa leverantörer samarbetar. Du har sannolikt minst åtta års erfarenhet av projektledning och är van att ta ansvar för planering, budget, resurser, riskhantering och leverans. Samtidigt har du ett genuint teknikintresse och tycker om att sätta dig in i nya lösningar och tekniska miljöer. Du behöver inte vara specialist inom alla områden, men du har erfarenhet från ett eller flera av dagens moderna tekniklandskap, exempelvis molntjänster, systemutveckling, integrationer, data, AI, cybersäkerhet eller infrastruktur. Teknikområden vi ofta arbetar med Vi ser gärna att du har erfarenhet från ett eller flera av följande områden: Molnplattformar som Microsoft Azure, AWS eller Google Cloud Platform. Systemutveckling och moderna applikationslandskap. Integrationer, API:er och meddelandebaserade arkitekturer. Data & Analytics, Business Intelligence eller dataplattformar. AI, Generative AI, Machine Learning eller intelligenta automatiseringslösningar. Microsoft 365, Power Platform eller moderna digitala arbetsplatser. DevOps, CI/CD och automatiserade leveransflöden. Infrastruktur, nätverk, datacenter eller hybrida IT-miljöer. Cyber Security, IAM, Zero Trust eller säkerhetsrelaterade initiativ. Har du dessutom erfarenhet av agila leveransmodeller, Jira, Azure DevOps, SAFe, Scrum eller certifieringar inom projektledning ser vi det som meriterande. Vi uppskattar ledare som är nyfikna Den tekniska utvecklingen går snabbt och därför tror vi att de bästa projektledarna är de som fortsätter att lära sig. Du behöver inte kunna allt, men du är nyfiken, ställer frågor och tycker om att förstå hur ny teknik kan skapa affärsvärde. Du är kommunikativ, prestigelös och har lätt för att skapa förtroende hos både tekniska specialister och verksamheten. När utmaningar uppstår är du den som bidrar med struktur, lugn och tydliga prioriteringar. Ett konsultliv med variation och utveckling På Edge får du möjlighet att arbeta i tekniskt avancerade projekt hos kunder inom bland annat industri, finans, offentlig sektor, energi, retail, telekom, life science och andra verksamheter där digitalisering står högt på agendan. Vi tror på långsiktiga samarbeten och lägger stor vikt vid att förstå vilken typ av uppdrag som passar just dig. Vår ambition är att skapa ett partnerskap där du får möjlighet att fortsätta utvecklas, bygga nya erfarenheter och bidra i projekt där din kompetens verkligen gör skillnad. Vi välkomnar både dig som vill arbeta som projektanställd och dig som driver eget konsultbolag. För oss är det viktigaste att skapa långsiktiga relationer med skickliga människor. Välkommen till Edge Om du vill arbeta med tekniskt avancerade projekt där du får kombinera ledarskap, teknik och verksamhetsutveckling vill vi gärna komma i kontakt med dig. Skicka gärna ditt CV. Vi arbetar löpande med att matcha våra konsulter mot nya uppdrag och ser fram emot ett förutsättningslöst samtal om hur vi kan skapa nästa steg i din karriär tillsammans. Vi ser fram emot att höra från dig.

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!

Machine Learning Engineer Location: Hybrid Company: Ferritico Employment type: Full-time Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration. This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development. About the role You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features. You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs. Key responsibilities Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers. Design and develop machine learning models and appropriate model structures. Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria. Validate, benchmark, and continuously improve existing and future machine learning models. Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints. Monitor production models and troubleshoot performance, reliability, and data-quality issues. Integrate new machine learning modules into Ferritico's web application. Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes. Contribute to testing, technical documentation, code reviews, and engineering decision-making. What we are looking for We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field. The ideal candidate has: An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline. Strong proficiency in Python and experience building clear, maintainable, and well-tested code. Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment. Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics. A basic understanding of backend and frontend development and how machine learning components integrate into software products. Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team. Nice to have Experience with any of the following would be highly valuable: Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows. Git-based version control, automated testing, continuous integration, and production monitoring. Physics-informed machine learning, scientific computing, or models that incorporate domain constraints. Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications. Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions. This role could be a strong fit if you Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing. Have practical experience developing, validating, deploying, or maintaining machine learning models. Enjoy combining data science with software engineering and practical product development. Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others. Are excited about helping shape digital tools for the future of steel and advanced materials. Why join Ferritico? At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys. You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication. Not sure you meet every requirement? We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute. How to apply Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line) Application deadline: 31 July 2026

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

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

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. At Valtech, we are helping global organizations transform how they operate through Data, AI, and emerging Agentic systems. As an AI Platform Engineer, you will lead multidisciplinary teams building AI-powered applications, intelligent workflows, copilots, and agent-based solutions that create measurable business impact. We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  THE ROLE   Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of the Americas and occasionally in Europe. WHAT YOU'LL DO AI ENGINEERING LEADERSHIP * Lead the design and delivery of enterprise AI applications, copilots, assistants, and agentic solutions. * Define implementation strategies that align AI capabilities with business objectives and user needs. * Guide teams in building scalable AI workflows, retrieval systems, orchestration layers, and tool-integrated experiences. * Drive best practices across prompt engineering, retrieval-augmented generation (RAG), tool calling, context management, testing, observability, and evaluation. * Ensure high-quality, maintainable, and secure AI implementations. CLIENT & STAKEHOLDER ENGAGEMENT * Partner with clients to understand business challenges and identify AI-powered opportunities. * Translate ambiguous requirements into practical implementation approaches and technical roadmaps. * Act as a trusted advisor during workshops, discovery sessions, and executive presentations. * Collaborate closely with Data Scientists, Data Engineers, Architects, Analytics Engineers, Product teams, and business stakeholders. ---------------------------------------------------------------------------------------------------------------------------------- REQUIRED QUALIFICATIONS * 7+ years of experience in software engineering, AI engineering, machine learning engineering, or related fields. * 2+ years of experience leading technical teams or managing engineering professionals. * Strong experience building AI-powered applications and LLM-enabled solutions in production environments. * Hands-on experience designing and implementing: * Generative AI applications * Agentic workflows * Retrieval-Augmented Generation (RAG) solutions * Tool-calling and workflow orchestration patterns * API-driven integrations * Advanced Python development experience. * Experience working with Microsoft Azure * Experience working with cloud-based AI platforms and services. * Strong stakeholder management and communication skills. ---------------------------------------------------------------------------------------------------------------------------------- PREFERRED QUALIFICATIONS * Experience delivering AI solutions within consulting, digital agencies, or enterprise environments. * Experience leading multiple workstreams simultaneously across clients or business units. * Familiarity with AI governance, responsible AI practices, security, and privacy considerations. * Knowledge of evaluation frameworks for AI applications and agentic systems. * Experience supporting distributed, international engineering teams. ---------------------------------------------------------------------------------------------------------------------------------- WHAT SUCCESS LOOKS LIKE * Delivering scalable, production-ready AI solutions that generate measurable business value. * Building high-performing AI Engineering teams through coaching and mentorship. * Promoting reusable implementation patterns and engineering best practices. * Ensuring reliable, secure, and responsible AI adoption across projects. * Strengthening Valtech's leadership position in AI-powered digital transformation. ---------------------------------------------------------------------------------------------------------------------------------- If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a full-time position based in Montreal and Toronto. The offered salary range is $95,000 to $130,000 annually, depending on experience and location.  Valtech offers a comprehensive benefits package effective after three months of continuous service: * A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage. * Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program. * A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. * A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.  * Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. * Personal Technology Reimbursement – $30/month for every employee-offered on day 1.  * We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us. ----------------------------------------------------------------------------------------------------------------------------------

Company description: Ericsson AB Job description: Join our Team About this opportunityWe are looking for a passionate Digital Algorithm Developer to join our cutting-edge Algorithms team in Lund. In this role, you will contribute to the development of current and next-generation radio solutions by designing advanced algorithms and bringing them to life through efficient hardware implementations. If you are a recent graduate with a strong technical foundation, eager to learn and solve real-world engineering problems, and excited about applying theory to practice in a collaborative team, this is a great opportunity. You’ll thrive here if you enjoy working in teams, are proactive, and want to grow by working at the intersection of signal processing, hardware design, and emerging AI/ML techniques for real-time communication systems. You’ll be part of a highly collaborative and agile environment working across global teams, where innovation, ownership, and continuous learning are encouraged. What you will do•    Contribute to early studies and concept development for current and future radio solutions. •    Design, develop, and optimize digital signal processing (DSP) algorithms. •    Build and maintain behavioural models and simulation frameworks. •    Support development of end-to-end system simulations to evaluate algorithm performance under real-world conditions. •    Build and configure integrated lab setups, combining hardware and software components. •    Execute performance evaluations, measurements, and validation activities. •    Collaborate with cross-functional teams across algorithm, ASIC/FPGA, and system domains.The skills you bring•    MS in Electrical Engineering, Mathematics, Signal Processing, System on Chip, Artificial Intelligence/Machine Learning or related field. •    Solid grounding in the field of Mathematics, optimization, statistics, or adaptive algorithms. •    Good knowledge of Digital Signal Processing concepts and implementation techniques. •    Knowledge of algorithm design, simulator building and behavioural modelling languages such as Matlab, Simulink, Python, or C/C++. •    Understanding of ASIC/FPGA design flows and hardware-aware algorithm design. •    Experience in RTL implementation of designed algorithms and HDL languages such as VHDL, Verilog or System Verilog. •    Knowledge of Artificial Intelligence/Machine Learning. •    Knowledge of telecommunication systems and RF (radio frequency) fundamentals. •    Experience working with lab equipment, including signal analysers, signal generators, and power supplies. •    Additional experience with AI/ML techniques applied to signal processing or communications, High-Level Synthesis (HLS) tools, digital/analog/mixed-signal IC design, and power amplifier technologies or FPGA prototyping platforms is a plus but not required.

Department of Ecology The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a dynamic and excellent research environment with modern infrastructure. The Department of Ecology has about 150 employees, of whom around 40 work at the Grimsö Research Station in Bergslagen. Together, the SLU Ecology Centre and Grimsö Research Station conduct research on sustainable agriculture and forestry, plant protection, nature conservation, and wildlife management, and provide scientific knowledge to inform Sweden and Europe’s environmental policies.   About the position Project Can we foresee the outcomes of public policies, political choices and other decisions? We are finding out by developing serious games and running them using AI. We are building large-scale simulations of societal processes (environmental negotiations, nature conservation policies, and hybrid-threat scenarios) in which every actor is an autonomous AI agent powered by Large Language Models (LLMs). These agents simulate real-world stakeholders, from government ministers to interest groups, and interact through natural language in complex strategic settings. We then run thousands of iterations to map the distribution of outcomes. This effort is part of a new research program Articulating Complexity ( https://www.slu.se/articulating-complexity/ ) hosted at the Swedish University of Agricultural Sciences (SLU) and led by Guillaume Chapron (Docent). It is funded by grants from the Swedish Research Council (VR), the Swedish Foundation for Strategic Environmental Research (Mistra), and the Swedish Research Council for Sustainable Development (FORMAS). Our goal is to build a novel methodology at the intersection of AI, ecology, political science, and complex system analysis that may change how policies are designed and stress-tested and how governments prepare for crises. We are looking for ambitious research engineer to join this effort. Tasks and duties You will be the person who makes the simulations actually run. Concretely, this means: Building the LLM-agent infrastructure (from an existing working implementation). Each agent has a multi-tier memory and an affect state that modifies both prompts and available actions, and a strategic reasoning layer that tracks reputation, commitments, and mental models of other agents. Extending and maintaining the multi-agent simulation framework. A simulation runs dozens of concurrent LLM instances, communicating through structured message-passing protocols. You will develop and maintain this framework, including the validation methodology. Running large-scale Monte Carlo simulations at scale on GPU-enabled HPC clusters (e.g. NAISS). Publishing and dissemination of the project results. You will co-author scientific publications from the project. The research will produce papers at the intersection of computational social science, ecology, security studies, and AI. You will work closely with the PI (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) and a postdoctoral researcher in computational social science (to be recruited concurrently). The three of you will form the core team. Your profile Required A degree in computer science, engineering, physics, applied mathematics, or a related quantitative field. A Master or engineering degree is sufficient; a PhD is welcome but not required. Strong programming skills, especially in Python, and sufficient understanding of machine learning/deep learning to work effectively with modern generative AI systems. Ability to assess and incorporate cutting-edge generative AI developments into the project. Experience with software engineering practices such as version control, testing, documentation, modular design, and reproducible workflows. Ability to work independently, debug complex systems under time pressure, and take ownership of technical infrastructure. Desirable Experience with LLMs, including programmatic use through APIs and local deployment. The candidate should be able to select, configure, adapt, and critically evaluate LLMs for research applications. Experience with deep reinforcement learning, agent-based modelling, or multi-agent systems, including the design of simulation environments, interacting agents, decision rules, feedback mechanisms, and scenario-based analyses. Experience with high-performance computing: batch job submission, GPU workflows, and managing large-scale computational experiments. Interest in the application domain: nature conservation, environmental policy, political science, geopolitics and security studies, complex adaptive systems. You do not need a formal background in these fields, but you should find them interesting. Assessment criteria Applications will be assessed on the following: Demonstrated technical ability. We care more about what you have built, than about what courses you have taken. A GitHub portfolio, a deployed system, a well-documented side project, or a track record of solving hard AI problems will carry more weight than a list of credentials. Autonomy and resourcefulness. This is a small team doing frontier work, so the role requires someone who can diagnose problems independently, make pragmatic technical decisions, and keep complex systems running. If that excites rather than worries you, this is the right position. Collaborative disposition. You will work daily with questions from very different disciplines: ecology, political science, geopolitics. The ability to communicate technical constraints and possibilities to non-technical collaborators is essential. Interpersonal skills will form an important part of the assessment. Location: The position is based either at Grimsö or at Uppsala, with a possibility to be partly based at another academic Swedish institution with a core expertise in AI and machine learning. Form of employment:  Fixed-term employment 12 months with the possibility of prolongation.  Scope: 100%. Start date: As agreed, as soon as possible after recruitment.  Application: Please submit your application before deadline 14 July 2026. You can submit your application by clicking the button below. This is a shortened advertisement. Please refer to the full advertisement on the SLU website for complete information about the position and details on what to include with your application.

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

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure. In this role, you will Architect multi-step planning, orchestration, and tool routing for agents Implement code generation agents and sandboxed code execution Engineer memory, state, and context packing/grounding strategies Balance latency, quality, and cost controls for agent execution Develop safe fallbacks, graceful degradation and robust error handling Collaborate with platform and search teams to deliver reusable agent infrastructure Establish safety guarantees and measurable quality improvements About You Basic Qualifications: 3+ years of software engineering experience building production backend or platform systems. 3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services. 3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture. 3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability. Other Qualifications: Experience building and deploying LLM-powered applications in production. Experience building agent platforms or AI infrastructure. Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc. Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems. Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.). Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith. Familiarity with vector databases, prompt and context engineering, and experimentation tooling. Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times. Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms. Comfort working with Postgres and Redis in high-throughput, low-latency service contexts. Contributions to open source TypeScript projects. Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production. Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

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 take on a role where advanced optimization meets production-ready machine learning. In this environment, model outputs are not just used for analysis—they are part of an AI product that needs to stay robust, scalable, and useful in day-to-day decision-making. You will work close to both technology and business, turning analytical findings into solutions that create clear value. This role is well suited to you if you enjoy moving between optimization, data engineering, MLOps, and stakeholder dialogue. You will help strengthen an existing optimization model, improve the surrounding data flows, and make sure the deployed solution continues to perform reliably in production. It is an interesting opportunity for you if you want to combine deep technical work with real influence on how AI products evolve. Job DescriptionYou will maintain and improve an existing optimization model by identifying weaknesses and implementing practical enhancements. You will present model outputs and analytical findings to stakeholders, translate business needs into technical solutions, and bring feedback back into the product. You will monitor and maintain the deployed AI product on GCP to ensure strong performance, robustness, and efficiency. You will improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs. You will work closely with Data Scientists, ML Engineers, and Product Managers to improve model performance, reliability, and scalability. You will implement MLOps best practices for deployment, monitoring, and lifecycle management of machine learning models. You will carry out ad-hoc analyses and create visualizations that support data-driven decisions across teams. You will contribute to a Python codebase where clean structure, maintainability, and production readiness are important. RequirementsSolid knowledge and experience in discrete optimization models, including Integer Programming and Mixed Integer Programming. Strong Python skills with the ability to write clean, efficient, modular, and production-ready code. Experience developing and deploying ML models in the cloud beyond notebook-based coding and execution. Experience working with GCP for data and deployment workflows. Hands-on experience with MLOps and CI/CD pipelines. Strong SQL skills for data manipulation and analysis. Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation. Comfort working in Agile, cross-functional teams. Ability to communicate clearly with stakeholders and turn business requirements into technical solutions. 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.

Do you want to turn image and sensor data into meaningful insights and real-world solutions? Here, you join a collaborative environment where innovation, learning, and data-driven thinking move us forward. Why Sandvik? We combine advanced technology with real industrial impact, giving you space to grow while contributing to something bigger. Work together with experienced experts and learn by doing Contribute to real-world AI use cases from day one Be part of a collaborative and inclusive team culture About the job You support the development of AI models and data-driven solutions with a focus on image and sensor data. Working closely with more experienced colleagues, you take part in experimentation, testing, and continuous improvement of models. Job responsibilities Support development of AI and machine learning models Work with image and sensor data to explore and build solutions Assist in testing, validating, and refining models Contribute to experiments and prototyping activities Collaborate with team members to improve performance and results Location and flexibility This position is based at our site in Svedala and offers a hybrid working model, allowing you to work remotely. Your profile You’re early in your career and bring a strong foundation in data science or a related field. Curiosity drives you, and you’re motivated to turn theory into practical solutions while growing your skills in applied AI. Your background includes: A degree in Data Science, Computer Science, Electrical Engineering, or similar Hands-on experience through projects, thesis work, or open-source contributions Interest in AI, machine learning, and algorithms for image or sensor data Strong problem-solving ability and analytical thinking Eagerness to learn and develop within a team environment Curiosity, initiative, and a willingness to learn guide your approach. You enjoy collaborating, asking questions, and tackling challenges step by step. A proactive mindset and openness to feedback help you grow and contribute to the team’s success. Our culture At Sandvik, we’re tech driven, innovative and entrepreneurial. We believe that success is a team effort so we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. So, we invest in supporting each other, learning together and celebrating our differences. Visit our stories hub, LinkedIn or Facebook to get to know us further. Contact information For further information about this position, please contact Johan Östergren, hiring manager, johan.ostergren@sandvik.com. We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contacts in that matter. Union contacts – Sweden Mårten Lindberg, Unionen, +46 (0)76 111 03 36 Jonny Hansson, Akademikerföreningen, +46 (0)76 126 45 81 Michael Wicktor-Ohlsson, Ledarna, +46 (0)70 251 44 57 Recruitment Specialist: Ulrika Gruffman How to apply Send your application no later than July 27, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093937. At Sandvik, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. We aim for an open and fair recruitment process and use different tools to ensure an objective assessment. Later in the process, you may be invited to complete a personality and logic test. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com Business area Rock Processing is a global leading supplier of equipment, service, and technical solutions for crushing, screening, breaking and demolition in the mining and infrastructure industries. In 2025, sales were approximately SEK 10 billion with about 2,800 employees.