Sökresultat för "Machine Technology"

Simatec – Simonsson Machine Technology AB - söker nu dig som är en kvalitetsmedveten och serviceinriktad medarbetare till Verkstaden i Stenungsund. Vi erbjuder dig möjlighet att använda din erfarenhet och problemlösningsförmåga för att utveckla, tillverka samt underhålla högkvalitativa mekaniska lösningar för Våra Kunders många olika behov. Information om Företaget Simatec arbetar med att ge service, support, underhåll samt inte minst tillverkar delar och reservdelar, av världsklass till bla den petrokemiska industrin i Stenungsund , dess underleverantörer och samarbetspartners, till varvsindustrin och en mängd andra aktörer inom styr och regler , såväl som annan tillverkande industri med maskiner och produkter inom livsmedelsindustrin, fordonsindustri, raffinaderier, kraftverk m.m. Beskrivning av tjänsten Som medarbetare i den mekaniska verkstaden kommer du att tillverka detaljer, maskin och reservdelar samt andra applikationer, men också delta i projekt som syftar till att förbättra befintliga anläggningar och installationer eller att delta i utvecklingen av nya lösningar efter behov av alla våra kunder. Exempel på uppgifter är: - Finmekaniska arbeten i fräs och svarv, i huvudsak CNC - Konstruktionsarbete i mekanisk CAD/CAM (inkl. ritning/toleranssättning) - Svetsarbete - Manuell tillverkning och montering Kvalifikationer Du har en väl dokumenterad verkstadsteknisk bakgrund gärna med processindustri eller motsvarande som slutkund, där det ställs höga krav på färdig produkt. Du behöver även erfarenhet av finmekaniskt arbete, speciellt värderar vi goda kunskaper i maskinbearbetning av alla inom branschen existerande material. En dokumenterad vana att arbeta självständigt och ta ansvar för väl utförda arbetsuppgifter värderas mycket högt. Meriterande är erfarenhet av CNC-maskiner, konstruktionsarbete i CAD/CAM (vi använder Solid Works samt Fusion 360) inklusive ritning/toleranssättning. Samt grundläggande svetskunskaper och erfarenhet av förekommande verktyg för metallbearbetning. Anställningsform Tillsvidareanställning på heltid. Startdatum; Snarast Ansökan med Cv skickas till: info@simatec.se märk med: ANSÖKAN Eventuella intyg, betyg etc. Referenser lämnas vid en eventuell interv

Välkommen att söka jobb hos oss på Dille Gård – en skola med hjärta, mod och entreprenörsanda Inför hösten har vi vakanta tjänster inom Idrott och hälsa, Sällskapsdjur samt inom Terränghjuling och Serviceteknik för maskiner. Vi är nyfikna på vilka kunskaper och erfarenheter du har och försöker hitta en lösning utifrån din kompetens. Beroende på din bakgrund och dina kvalifikationer kan tjänstens omfattning variera från deltid till heltid. Vi är ett litet och dynamiskt företag med verksamhet inom utbildning och veterinärvård. Med vår vision "Glädje, mod och lyhördhet" som ledstjärna präglas verksamheten av stor entreprenörsanda. Vi arbetar målmedvetet för att skapa en trygg, prestigelös och inspirerande miljö – både för våra medarbetare och för de människor vi möter i vårt arbete. Vi bedriver utbildningar inom skog, djur och förarutbildningar. Hos oss finns cirka 50 medarbetare, 140 gymnasieelever och ett 100-tal vuxenstuderande. Ta gärna en titt på vår Facebook- eller Instagram-sida för att se vad som händer på Dille Gård just nu. Vi har också en systerskola, Berga Naturbruksgymnasium, som ligger i Haninge söder om Stockholm. På Dille Gård i Ås erbjuder vi Naturbruksprogrammet med profilerna Häst, Hund, Djurvård, Jakt, Äventyr och Skogsmaskin. Vi bedriver även vuxenutbildningar inom skogsbruk, skogsmaskinförare, buss, lastbil och djursjukvård. Vår personal arbetar nära de studerande med en processinriktad pedagogik. Skolan ligger i en välhållen gårdsmiljö som ständigt utvecklas, och i direkt anslutning finns vår moderna veterinärklinik. Vi strävar efter att arbeta nära våra elever och värnar om den gemenskap och kultur som vi kallar Dilleandan. Urval sker löpande och stor vikt läggs vid personlig lämplighet.

Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. The Department of Engineering Sciences and Mathematics carries out research in areas such as wood, composites, metals, mechanics, and energy. Our engineering programs include Sustainable Energy Engineering and Mechanical Engineering. We have an international program in Materials Engineering, and among our newer programs is the Bachelor of Science in Power Engineering. The strong cooperation with industry provides students with an opportunity to work on real project tasks in their education. We are currently seeking a PhD-student that can help us to further develop research within the field of Machine Elements. The main aim of this PhD student position is to strengthen the newly started research on Triboelectrictive nanogenerator (TENG)-based smart lubrication in Machine Elements. Besides courses, the student will mainly carry out experimental work. The department has about 300 employees and conducts research in 17 research subjects and seven centers of excellence. You can find us at campus in Luleå, Skellefteå and we are also responsible for the research at Green Fuels in Piteå. Subject description Machine Elements comprises the analysis and optimisation of machine components and component systems in order to enhance performance, longevity, energy-efficiency, reliability and sustainability. Particular emphasis is placed on issues in the field of tribology. Project description The project is about developing and applying TENG-based self-powered sensors or TENG-based energy harvesting methods for tribological applications. A sensor that produces its own power has a large role to play in the advancement of wearables, the Internet of Things, Industry 4.0, etc. The focus of this project is to apply this technology to machine components to give information about the operation. This could be general machine health as well as specific fault and failure signals. The aim of the project is to develop knowledge and understanding of the relationship between tribological signals (especially lubrication signals) and the working status. Duties The PhD student is expected to perform both experimental and theoretical work within research studies as well as communicate the results at national and international conferences and in scientific journals. Most of the PhD student's working time will be devoted to its own research studies. In addition, the PhD student can have the opportunity to try the teacher role. As a researcher, the PhD student works as a neutral party in many contexts, which provides a great opportunity to be involved in challenging development projects. Qualifications Applicants must have a master's degree in science or engineering (Materials science, Chemistry, Physics, Mechanical engineering, etc.), or equivalent. Good skills in oral and written communication in English are also a requirement. The following selection criteria apply: Background relevant to the project, The quality of the applicant's master's thesis, Personal qualities relevant to research education. Information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting date upon agreement. For further information, you are welcome to contact: Professor Yijun Shi, (+46) 920-492064, mailto:yijun.shi@ltu.se https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this scholarship by using the Apply button below. The application should include a CV, a personal letter, and copies of verified diplomas from high school and universities. Your application, including diplomas, must be written in English or Swedish. Mark your application with the reference number below. Last day of application: 10 August 2026 Reference number: 3871-2026

Tobii is the global leader in eye tracking and a pioneer in attention computing. For more than 20 years, we have built technology that understands human attention and intent. Our solutions enable scientific breakthroughs, assistive communication, immersive gaming, safer training environments and the future of human machine interaction. Our technology is used by thousands of companies, universities and research institutes around the world. Many of our customers operate at the frontier of behavioral science, neuroscience and human computer interaction. Headquartered in Stockholm, Tobii operates globally and is listed on Nasdaq Stockholm (TOBII). We are now looking for a people driven and technically curious leader to take responsibility for our Global Customer Care organization and lead a distributed technical support team working close to both customers and engineering. The Opportunity In this role, you will lead a global technical support organization responsible for helping customers succeed with Tobii’s hardware and software solutions after purchase. Your team investigates technical issues, guides customers and resolves complex cases in close collaboration with Product Management, Engineering and Supply Operations. You will manage a distributed team in Sweden, Japan, China and Korea, ensuring efficient case handling, clear ownership and strong collaboration across regions. A unique opportunity to lead a global support team while staying close to both the technology and the customers. Insights from your team help identify patterns, resolve complex issues and contribute to improving the next generation of Tobii products. Your mission • Lead and develop a global team delivering post sales technical support across hardware and software products • Ensure cases are handled professionally, efficiently and with clear ownership from start to resolution • Set goals for the team and team members and secure execution • Provide onboarding, mentoring and coaching to team members • Identify recurring issues and escalate them to Product Management and Engineering • Coordinate support processes, action plans and ways of working across regions • Remove obstacles for the team and ensure focus, efficiency and high service quality • Act as the bridge between customer support and internal product development • Represent the team toward management and ensure clear internal communication We hope you have • An academic background within Psychology, Neuroscience, Computer Science or a related field • Experience leading a distributed team and building a collaborative environment • Several years in customer-facing roles, ideally within technical or systems support • Strong technical understanding and the ability to troubleshoot across hardware, firmware and software • Experience collaborating with engineering teams to investigate technical issues • Strong analytical and problem-solving skills • Business level English in speaking and writing Who are you? You are a hands-on and collaborative leader who enjoys working where customers, technology, and product development intersect. You bring a strong sense of ownership and a succeed together mindset. You are technically curious and enjoy diving into complex issues, identifying patterns and working with engineering and product teams to find the root cause. As a leader, you stay close to the work and support your team in their daily cases. You create clarity, collaborate with stakeholders across the organization and ensure the team delivers efficient and high-quality technical support. The recruitment process Applications are reviewed on an ongoing basis. Please submit your application today, we look forward hearing from you!

YOUR MISSION AT VOI As a Machine Learning Engineer Intern at Voi, you will play a key role in designing and building machine learning models for our edge ML product. You will work across both software engineering and machine learning challenges, contribute to our product rollout, and help enhance the safety and real-world performance of our vehicles. You will join a high-impact product team, see your work deployed on Voi vehicles worldwide, and learn how to build ML products end-to-end. Please note this role is for 50% (Part-Time). In this role, you will: * Help build a cutting-edge machine learning product and see your models deployed on Voi vehicles across multiple markets. * Build an ML solution end-to-end, from dataset creation and PoC model development to edge ML optimisation, deployment and impact measurement. * Support production-grade models with a focus on reliability, scalability, and high performance. * Collaborate with a world-class, cross-functional product team, aligning on priorities and outcomes while learning from and supporting your teammates. WHAT YOU NEED TO EMBARK You are a curious, hands-on and analytical problem-solver with a strong interest in applied machine learning. You enjoy working with real-world data, building models that ship to production, and collaborating with others to create solutions that make a tangible impact. We believe you have: * Current enrolment in an MSc in Computer Science, Machine Learning, Robotics or a related field, with around one year or less remaining in your studies. * Strong Python programming skills and experience with Git; experience deploying machine learning models or backend code in production is a plus. * Solid understanding of common machine learning techniques such as convolutional neural networks, transfer learning and object detection, and hands-on experience with frameworks such as PyTorch, TensorFlow or scikit-learn. * Fluency in written and spoken English, and a proactive communication style in a cross-functional team environment. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: * Join Europe’s #1 micromobility operator and one of the fastest growing scale-ups. * Get “skin in the game” through our employee options programme. * Enjoy unlimited free Voi rides and a dog-friendly office. * Work together with inspiring, motivated and fun colleagues towards a common goal. * Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution. If you are eager to apply your machine learning skills to real-world problems and shape the future of micromobility, we’d love to hear from you.

Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Fall 2026. Project description The focus of the doctoral project is explainable machine learning for neuromorphic computing for predictive materials discovery. The doctoral student will be part of a larger project Brain-inspired AI Design of Topological Magnets for Sustainable Computing. The five-year project is a WASP-WISE-funded collaboration with research groups at Uppsala University and KTH for designing sustainable magnetic materials. The doctoral student will also be part of the Wallenberg AI, Autonomous Systems and Software Programme (WASP) and graduate school. WASP is Sweden’s largest individual research programme ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The programme addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious programme with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers, and industry. Read more: https://wasp-sweden.org/graduate-school/ The programme and the doctoral studentship The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study. Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking. The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook (https://www.oru.se/globalassets/oru-en/education/research-education/regelhandbok-for-utbildning-pa-forskarniva_en.pdf). The initial salary for a doctoral studentship is SEK 32,300 a month. Entry requirements and selection To see the job advertisement in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260203 Information For more information about the programme and the doctoral studentship, contact Dr. Stephanie Lowry, email: stephanie.lowry@oru.se, or Dr. Denis Kleyko, email: denis.kleyko@oru.se. For administration issues, contact Head of unit Martin Magnusson, email: martin.magnusson@oru.se. At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach. Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust and respect. We value the qualities that diversity adds to our operations. Application to the programme and for the doctoral studentship The application is made online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included: CV Proof that you meet the general and specific entry requirements (copies of the original certificate and official transcript for Bachelor's and Master's degrees) Independent project (degree project) Other relevant documents, course and degree certificates verifying eligibility Description of research interests (1-2 pages) - describing your research interests, explaining why you are interested in this project, and why you would be a good fit for the position. As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorized translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), http://www.kammarkollegiet.se/engelska/start. When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/ The application deadline is August 21, 2026. We look forward to receiving your application! As we have already made our choices in terms of external collaboration partners and marketing efforts for this recruitment process, we decline any contact with recruitment agencies and advertisers. As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

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.

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT HONOR Our mission is simple: change the way we care for our parents so they can age safely at home. How we accomplish that mission is anything but simple. Delivering reliable home care requires coordinating people, schedules, geography, skills, preferences, and changing needs across a complex operating environment. Honor combines technology, operations, and the local expertise of our partner agencies to improve how care is delivered at scale. Our platform supports the caregivers who provide care, the teams who coordinate it, and the families who depend on it. We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and AI to some of Honor’s most important operational challenges. ABOUT THE ROLE You will lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions. This is not an analytics support role. Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes. You will contribute to Honor’s broader Data Science and Applied AI direction, help shape the team’s roadmap, and remain hands-on as a player-coach. WHAT YOU’LL DO * Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact. * Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability. * Apply modern AI, including agentic workflows, to improve how teams analyze information, make decisions, and execute operational work. * Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration. * Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems. * Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach. EXAMPLES OF PROBLEMS YOU MAY SOLVE * Improving caregiver-client matching while balancing fit, continuity, availability, and travel. * Building more reliable and sustainable schedules for caregivers and clients. * Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact. ABOUT YOU * 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams. * Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes. * Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all. * Understand that successful applied AI requires more than choosing a model. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight. * Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems. * Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor. * Can communicate clearly with technical, operational, and executive audiences. * Have a bias toward action and an iterative approach to problem-solving. You are willing to inspect the data, understand the workflow, prototype solutions, and revise your view. * Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture. HELPFUL EXPERIENCE Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation. A bachelor’s, master’s, or doctoral degree in a quantitative or technical field is welcome, but we care most about demonstrated ability, judgment, leadership, and impact. WHY THIS ROLE IS DIFFERENT Many companies have interesting datasets. Honor has a dynamic operating environment in which technical decisions directly affect caregivers, care teams, families, and older adults. The opportunity is to build systems that do more than predict outcomes. They will help Honor decide what to do next, execute more effectively, and continuously learn from the results. Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $228,600—$254,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

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.

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

PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS Value Stream: Innovation Hub Location: Hybrid working – minimum 2 days per week in the office Office: London, Basingstoke and Bristol Contract: Permanent, Full-Time Salary: £76,340 – £109,060 per annum JOIN OUR TEAM AS A PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER AT HAWK-EYE INNOVATIONS We're looking for an exceptional Principal Computer Vision / Machine Learning Engineer to join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera systems to deploying advanced algorithms onto embedded hardware, you'll play a key role in developing solutions that power world-leading tracking technology used across global sport. If you enjoy solving complex engineering challenges, influencing technical direction and building production-ready computer vision systems, we'd love to hear from you. WHAT YOUR DAY WILL LOOK LIKE As a Principal Computer Vision / Machine Learning Engineer, you'll play a key role in developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. You'll collaborate with software engineers, machine learning specialists and product teams to solve complex technical challenges, helping bring advanced tracking technology into a wider range of sporting environments. APPLIED COMPUTER VISION * Design and develop algorithms that reconstruct accurate 3D positional and trajectory data from 2D detections, applying mathematical and physical modelling of motion, projectiles and object interaction. COMPUTER VISION SYSTEMS * Design and build computer vision components supporting detection, tracking and calibration workflows across multiple sports. CALIBRATION & VALIDATION * Contribute to calibration systems, handling coverage gaps and validating reconstructed trajectories against real-world scenarios. EMBEDDED DEPLOYMENT * Support the optimisation and deployment of algorithms onto embedded NVIDIA Jetson hardware, helping deliver efficient real-time performance on edge devices. MACHINE LEARNING COLLABORATION * Work alongside our dedicated Machine Learning discipline, leveraging existing detection models where appropriate while owning the Computer Vision and applied modelling layer built on top of them. TECHNICAL LEADERSHIP * Influence algorithm design, technical architecture and data pipeline decisions within a fast-moving product team while providing technical guidance across complex engineering challenges. CROSS-FUNCTIONAL COLLABORATION * Partner with data platform, backend and frontend engineers to define data requirements, representative datasets and reliable production outputs. QUALITY & RELIABILITY * Help ensure tracking outputs remain accurate and reliable across challenging real-world environments where conditions can vary significantly. WHAT WE VALUE At Hawk-Eye, we thrive on solving difficult engineering problems through innovation, collaboration and technical excellence. As a Principal Engineer, you'll remain hands-on while influencing the technical direction of our products. You'll work alongside highly skilled engineers across Computer Vision, Machine Learning and Software Engineering to develop innovative solutions that continue to push the boundaries of sports technology. We're looking for someone who enjoys solving complex technical challenges, embraces ambiguity and wants to make a lasting impact through technical leadership and engineering excellence. SKILLS, KNOWLEDGE, AND EXPERTISE We're looking for someone with: * Extensive commercial experience in Computer Vision with a strong grounding in applied mathematics and physical modelling. * Expertise in trajectory estimation, motion reconstruction, projectile physics or similar 2D-to-3D reconstruction problems. * Experience designing Computer Vision algorithms for detection, tracking, calibration or reconstruction systems. * Experience working with camera-based data sources, tracking pipelines or spatial and temporal datasets. * Strong C++ development experience. * Python experience for prototyping, experimentation or tooling would be advantageous. * Experience deploying or optimising algorithms for embedded or edge GPU hardware, particularly NVIDIA Jetson, is highly desirable. * Working knowledge of Machine Learning techniques is beneficial; however, this role is primarily Computer Vision and applied modelling focused rather than Machine Learning research focused. * Comfortable working with ambiguity and evolving requirements within a fast-paced, product-focused engineering environment. * Excellent communication skills with the ability to collaborate across Computer Vision, Machine Learning, backend, frontend and data platform teams. * Experience influencing technical direction and contributing to architecture decisions. WHAT THIS ROLE IS NOT To help set expectations, it's important to understand what this role focuses on: * This is not a pure Machine Learning research role. The emphasis is on applied Computer Vision, mathematical modelling and delivering production-ready solutions rather than researching or training novel Machine Learning models. * This is not a Data Engineering role. You'll be responsible for producing high-quality model outputs, while separate teams own data storage, transformation, APIs and wider platform services. * This is not a people management role by default. As a Principal Engineer, you'll provide technical leadership, influence engineering decisions and mentor through technical expertise. Depending on the team structure, there may be opportunities to lead a squad or technical discipline, but direct line management is not a core responsibility. REWARD, BENEFITS, AND WELLNESS We offer a comprehensive package to support your growth and well-being. UNITED KINGDOM * Annual Leave: 25 days (excluding bank holidays). * Enhanced Pension Scheme: 5% matching. * Flexible Working: Hybrid model (minimum 2 days in the office per week). * Wellness: Complimentary Unmind app and onsite gym (Basingstoke). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. HUNGARY * Annual Leave: Standard according to local labour law. * Flexible Working: Hybrid model (2 days in our office per week). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. * Additional Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), private medical insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance Program. ABOUT US Hawk-Eye Innovations, part of Sony Sports Technology, is a world leader in sports technology. We deliver sophisticated officiating, broadcast and player tracking solutions across more than 25 international sports. Every year, our technology supports over 30,000 sporting events across more than 500 stadiums in 90 countries. Our Innovation Hub focuses on solving the next generation of technical challenges, developing cutting-edge Computer Vision and Machine Learning solutions that continue to redefine what's possible in sports technology. EQUAL OPPORTUNITY STATEMENT As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a workforce that is diverse, inclusive and representative of the communities we serve. Sony Sports Technology is an equal opportunity employer and welcomes applications from people of all backgrounds and experiences. We recruit, retain, develop and promote people based on their skills, qualifications and experience. Our commitment is to provide a respectful, inclusive environment where everyone has the opportunity to contribute, grow and succeed. APPLY TODAY Join Hawk-Eye Innovations and help shape the future of sports technology. As a Principal Computer Vision / Machine Learning Engineer, you'll work on some of the most technically challenging problems in Computer Vision, applied mathematics and real-time tracking, helping build the next generation of world-leading sports technology.

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

YOUR MISSION AT VOI As an Engineering Manager at Voi, you will lead and support two small cross‑functional product teams – Fleet Care and Fleet Management – together responsible for the software that powers our fleet operations. This includes apps used both on the streets and in our warehouses, powered by complex optimisation algorithms and machine learning. You will report directly to the CTO and work closely with Product and other R&D leaders to ensure high‑quality delivery while fostering a positive, empowering and collaborative team culture. This is an excellent opportunity to combine technical depth with people leadership and have a tangible impact on the micromobility industry. Lead and support the Fleet Care and Fleet Management engineering teams, developing our apps and tools that keep our fleet of vehicles running smoothly. Partner with Product to define roadmaps, set goals and drive high‑quality delivery, balancing short‑term operational needs, continuous learning and iteration, and long‑term technical vision. Champion engineering excellence by guiding architectural decisions, fostering good development practices and promoting continuous improvement to maintain a sustainably rapid delivery pace in a complex business environment. Drive and facilitate a shift of our core data models and software architecture in the operations area. Coach and develop engineers, supporting their growth through feedback, mentorship and clear expectations. Drive cross‑team initiatives and shared technical efforts across our broader R&D organisation. Actively foster and improve AI‑assisted development methods and tooling within the team and across the R&D organisation. Contribute to a well‑functioning and collaborative engineering culture aligned with Voi’s company values, and be a driver for diversity, inclusion and psychological safety within your teams. WHAT YOU NEED TO EMBARK You are an empowering engineering leader who combines a strong technical foundation with a people‑first mindset. You enjoy working in a fast‑paced, evolving environment, and you know how to create clarity, enable good decisions and help your teams do their best work. Degree in Engineering, Computer Science or a related field, or equivalent practical experience. 5+ years of hands-on experience with modern tech stacks, building reliable and complex software in a fast-paced environment. 2+ years of experience managing software engineering teams, with a strong focus on empowerment, collaboration and delivery. Ability to engage in technical discussions, understand trade‑offs and guide technical decisions together with your team. Eagerness to explore and apply the potential of AI both to your own work and that of the team. Strong communication and problem‑solving skills. Fluent in English, both written and spoken. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: Join Europe’s #1 micromobility operator and one of the fastest‑growing scale‑ups. Get “skin in the game” through our employee options programme. Enjoy unlimited free Voi rides and a dog‑friendly office (where applicable). Work together with inspiring, motivated and fun colleagues towards a common goal. Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution.

YOUR MISSION AT VOI As an Engineering Manager at Voi, you will lead and support two small cross‑functional product teams – Fleet Care and Fleet Management – together responsible for the software that powers our fleet operations. This includes apps used both on the streets and in our warehouses, powered by complex optimisation algorithms and machine learning. You will report directly to the CTO and work closely with Product and other R&D leaders to ensure high‑quality delivery while fostering a positive, empowering and collaborative team culture. This is an excellent opportunity to combine technical depth with people leadership and have a tangible impact on the micromobility industry. * Lead and support the Fleet Care and Fleet Management engineering teams, developing our apps and tools that keep our fleet of vehicles running smoothly. * Partner with Product to define roadmaps, set goals and drive high‑quality delivery, balancing short‑term operational needs, continuous learning and iteration, and long‑term technical vision. * Champion engineering excellence by guiding architectural decisions, fostering good development practices and promoting continuous improvement to maintain a sustainably rapid delivery pace in a complex business environment. * Drive and facilitate a shift of our core data models and software architecture in the operations area. * Coach and develop engineers, supporting their growth through feedback, mentorship and clear expectations. * Drive cross‑team initiatives and shared technical efforts across our broader R&D organisation. * Actively foster and improve AI‑assisted development methods and tooling within the team and across the R&D organisation. * Contribute to a well‑functioning and collaborative engineering culture aligned with Voi’s company values, and be a driver for diversity, inclusion and psychological safety within your teams. WHAT YOU NEED TO EMBARK You are an empowering engineering leader who combines a strong technical foundation with a people‑first mindset. You enjoy working in a fast‑paced, evolving environment, and you know how to create clarity, enable good decisions and help your teams do their best work. * Degree in Engineering, Computer Science or a related field, or equivalent practical experience. * 5+ years of hands-on experience with modern tech stacks, building reliable and complex software in a fast-paced environment. * 2+ years of experience managing software engineering teams, with a strong focus on empowerment, collaboration and delivery. * Ability to engage in technical discussions, understand trade‑offs and guide technical decisions together with your team. * Eagerness to explore and apply the potential of AI both to your own work and that of the team. * Strong communication and problem‑solving skills. * Fluent in English, both written and spoken. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: * Join Europe’s #1 micromobility operator and one of the fastest‑growing scale‑ups. * Get “skin in the game” through our employee options programme. * Enjoy unlimited free Voi rides and a dog‑friendly office (where applicable). * Work together with inspiring, motivated and fun colleagues towards a common goal. * Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution.

PN Snedkeri is looking for an experienced Machine Carpenter to join our team in Vejen, Denmark. If you have experience working with woodworking machines and enjoy producing high-quality products, we would like to hear from you. Your Job You will work in our modern production facility, where you will: Set up and operate woodworking machines Produce wooden components with high precision Assemble and finish products Read and work from technical drawings Help with other workshop tasks when needed We Are Looking For Someone Who Has experience as a carpenter or machine carpenter Knows how to work with woodworking machinery Can read technical drawings Works carefully and independently Takes pride in delivering quality work Enjoys being part of a team You communicate in English What We Offer Full-time, permanent employment Good salary based on your experience Modern machines and a professional workshop Friendly colleagues and a good working environment A stable company with long-term employment opportunities Gross salary before tax from 25 EUR- 31 EUR per hourApprox 180 Hours per month. Pension: 8 percent Holiday pay: 12,5 percent corresponding to 5 weeks of paid holiday per year Working hours 06.00-15.00 and Friday 06.00- 12.00. Overtime work possible when the employee works independently also in weekends. Moving to Denmark The job is based in Vejen, Denmark. We will help you: Find accommodation close to the workplace Relocate to Denmark (transport costs covered) Settle into your new home and workplace The first interview will take place online via Microsoft Teams. About PN Snedkeri PN Snedkeri has been producing high-quality, custom-made interiors since 1983. We work on exclusive projects together with leading architects and combine traditional craftsmanship with modern technology. Apply Send your CV and application to sn@pnsnedkeri.dk We review applications continuously and will hire as soon as we find the right candidate. There's 1 vacant position

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