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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine learning engineer - **Company:** Xomnia - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Experienced - **Salary:** €4,500.0 - €7,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Algorithm Design, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Management of Software Versions, Workflow Management Systems, Cloud Platform System, Feature Engineering, Apache Spark, Generative AI, Kubernetes, Information Technology, Machine Learning Operations, Software Coding, Docker - **Published:** August 8, 2026 - **Apply:** https://clk.platform.jobster.com/?at=1786094848&b=&c=df29ac45-dcb8-4fd9-bc87-9df19656aaad&co=444cb5e8-968f-4d94-9a3b-1e232451c989&cu=9d19ad1d-25d0-4b84-a20f-8340b86a47b4&cw=7&dt=o&fc=a&gc=a&i=9698d2ee-bc92-42d1-9cc9-408fa7011225&ic=NL&mf=c&p=47b4ebce-5907-42d5-9b5e-b30908a42d08&pm=c&po=5f8e30d1-709e-45e1-83c8-a466772a8ebf&pr=1r&r=https%3A%2F%2Fwww.jobleads.com%2Fregistration%2Fjob%3FcampaignId%3D118%26jmId%3D2377%26jobId%3Dee95b8bd3f6e8a52a4af42da62018e39c%26jobLocation%3D1292112581%26utm_campaign%3Djobs%26utm_content%3Djobmarket-id%253D2377%257Clandingpage-id%253Dn%252Fa%257Cjob-id%253De95b8bd3f6e8a52a4af42da62018e39c%257Cjob-workarea%253D09-04%257Cjob-hierarchy%253D4%257Cjob-salary-benchmark%253D3%257Cjob-industry%253D%257Cjob-location%253Damsterdam%257Cjobtitle%253Dmachine-learning-engineer%26utm_medium%3Djob-external%26utm_source%3Djobster%257Cr-jb%257C__Liplyn%2BIG__%257Cc-nl&s=mp&t=cl&u=ip-c96c6b498870b75e67af1437c04c5e8c&v=2055a878-7f57-4b89-98cb-cc273ccfba8d&sig=e1ccd96acf5dca71d7c41c43b8b512d3daa5a7e597b4ca0783eccf35 ## About the Role * 3+ years of experience in ML engineering, data science, or similar roles. * A degree in Computer Science, AI, Data Science, or a related technical field. * Strong coding skills in Python. * Experience with cloud environments (Azure, AWS, or GCP). * Solid understanding of statistics and machine learning fundamentals. * Experience building and deploying production-grade ML systems. * Familiarity with Docker, CI/CD pipelines, infrastructure-as-code, and orchestration tools. * A collaborative mindset and ability to translate needs into practical solutions. * Fluent in Dutch (required) and English. * Eagerness to learn, grow, and contribute to a knowledge-sharing culture. ## Description Are you a skilled machine learning engineer with a strong background in algorithm development and implementation? Are you looking for a role that combines hands-on technical work with consulting? Do you get satisfaction from seeing your models and algorithms being used in real-world applications? Do you enjoy being part of a team of experts who are passionate about machine learning and AI?, * 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. ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)