Gesloten vacatures Zwaanshoek

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?

At 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.

From 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.

We value people who enjoy experimenting, sharing knowledge, and working together to create AI solutions that last.

In 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.

• 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.
  
  

• 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.
  
  

We offer more than a job - we offer a platform for growth:

• A yearly salary between €54,000 - €84,000 (based on 40 hours) and benefits

• €5.000 annual development budget

• 25 vacation days to recharge full

• Flexible working options (combination of office and remote work) and access to a professional network

• Memorable company trips (Berlin this year!)

• The opportunity to grow along with our success through Stock Appreciation Rights
  
  

At Xomnia, we believe that collaboration, knowledge sharing, and personal development are the keys to our success. That’s why we offer various trainings through our ‘Learning Labs’ and organize a yearly Health Month. We also regularly enjoy boat trips through the Amsterdam canals with our own boat, and there is always a healthy (free) lunch and a bar at the office.

At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.

We are proud of our core values:
We are challengers, we embrace agility, and we always share.

Want to be part of this and take the next step in your career?

Apply now or reach out to ezra.lammers@xomnia.com. We look forward to meeting you.