Machine Learning Engineer Job at Xomnia in Amsterdam

• Design and implement robust ML models that solve real-world problems. Build end-to-end ML pipelines - from feature engineering to deployment and monitoring. Collaborate with cross-functional teams to turn business needs into scalable solutions. Apply MLOps best practices such as CI/CD, versioning, testing, and automation. Deploy models on cloud platforms like Azure, AWS, or GCP. Work with tools like MLflow, Airflow, Docker, Kubernetes, and Spark. Stay up to date with the latest techniques, including Generative AI, and explore their application. Guide clients in building internal ML capabilities and following engineering best practices. Share your expertise through mentorship, demos, and internal learning sessions.

• Experience (36 months). Education level: Bachelor or equivalent level.

• Not specified in the provided text.

Go to main content\nEN\nSearch\nEURES (EURopean Employment Services)\nMenu\nJobseekers\nFind a job\nJob results\nMachine Learning Engineer\nJob vacancy handle: NDA4OWNhYWYtMGI0ZC01MTM1LWUwNjMtNjg5M2IyMGEyMTQ0IDQy\nUpdated on: 13/11/2025\nJob overview\nNEW\nIMMEDIATE START\nWorking languages\nDutch\nWork schedule\nFull-time\nContract type\nTemporary\nOccupation\nNumber of posts\n1\nLast application date\n14/11/2025\n14\nNOV\n2025\nJob start date\n30/8/2025\n30\nAUG\n2025\nJob details\nJob description\n\nMachine Learning Engineer - Op locatie - - Amsterdam , Noord-Holland , Nederland - Core Team\nVacature details Solliciteren\nFunctieomschrijving\nAbout the role and the Xomnia culture\nAt Xomnia, machine learning is more than model building - it's about engineering intelligent systems that deliver real value. As a Machine Learning Engineer, you'll work alongside passionate experts to help our clients unlock the full potential of their data.\nFrom advancing cancer research to real-time fraud detection and electricity grid optimization, we work on projects that make a difference. Our culture thrives on curiosity, shared ownership, and the courage to challenge assumptions.\nWe value people who enjoy experimenting, sharing knowledge, and working together to create AI solutions that last.\nAre you ready to take on this challenge?\nIn this role, you'll develop and deploy machine learning models across diverse domains - from healthcare to logistics and finance. Whether you're designing recommender systems, deploying models to the cloud, or helping clients adopt MLOps practices, your work will bring together technical excellence and business impact.\nVereisten\nYour role -\nDesign and implement robust ML models that solve real-world problems. -\nBuild end-to-end ML pipelines - from feature engineering to deployment and monitoring. -\nCollaborate with cross-functional teams to turn business needs into scalable solutions. -\nApply MLOps best practices such as CI/CD, versioning, testing, and automation. -\nDeploy models on cloud platforms like Azure, AWS, or GCP. -\nWork with tools like MLflow, Airflow, Docker, Kubernetes, and Spark. -\nStay up to date with the latest techniques, including Generative AI, and explore their application. -\nGuide clients in building internal ML capabilities and following engineering best practices. -\nShare your expertise through mentorship, demos, and internal learning sessions.\nWhat you bring to the tabl...\n\n\n\nJob location\n\n1016XL AMSTERDAM , Greater Amsterdam - Netherlands\n\nJob requirements\nExperience\n(36 months)\nEducation level\nBachelor or equivalent level\nTravel required\nThis job does not involve travel requirements\nUNKNOWN\nRemuneration\nSalary\nFrom Up to (Initial rate of compensation)\nHow to apply\nHow to apply\nOnline application form\nContact\nRaamstraat 7\n1016XL AMSTERDAM , Greater Amsterdam - Netherlands\nWeb: application date\n14/11/2025\nJob vacancy ID\nWERKNL65865653\nCountry specific information\nLiving & Working: Netherlands\n\nClick here to get more information\n\nLabour market information: Netherlands\n\nClick here to get more information\n\nEURES (EURopean Employment Services)\nThis site is managed by: European Labour Authority\nAccessibility\nContact Us\nContact the EURES Helpdesk\nChat with EURES Advisers\nFollow us\nFacebook\nTwitter\nLinkedin\nYouTube\nInstagram\nSubscribe to our newsletter\nAbout us\nLanguages on EURES\nCookies on EURES\nEURES Privacy policy\nEURES Legal notice\nDiscover more on europa.eu\nContact the EU\nCall us \nUse other telephone options\nWrite to us via our contact form\nMeet us at one of the EU centres\nSocial media\nSearch for EU social media channels\nLegal\nLanguages on our websites\nPrivacy policy\nLegal notice\nCookies\nAccessibility\nEU institutions and bodies\nSearch all EU institutions and bodies