About the Role
We are looking for an Interim MLOps Engineer / Machine Learning Engineer to join their ML Engineering team. This role focuses on operationalising machine learning solutions and ensuring they are reliable, scalable, and production-ready. The ideal candidate combines a strong Software Engineering background with hands-on MLOps experience and is comfortable working across the full machine learning lifecycle, from deployment and monitoring to continuous optimisation within a collaborative engineering environment.
Responsibilities
- Deploy Machine Learning models into production environments;
- Build, maintain, and optimise training and inference pipelines;
- Design, develop, and maintain production-grade ML platforms;
- Integrate Machine Learning solutions into business processes;
- Monitor model performance, data quality, model drift, and data drift;
- Implement automated model validation and retraining processes;
- Ensure AI solutions are scalable, reliable, robust, and maintainable;
- Manage and optimise production environments.
Requirements
- Strong Software Engineering background with experience deploying ML solutions into production;
- Excellent understanding of the complete Machine Learning lifecycle;
- Hands-on experience with Python, Databricks, Apache Spark;
- Experience with Feature Engineering, Training and Inference Pipelines, Production Monitoring and Code Optimisation;
- Experience building and maintaining scalable production ML platforms;
What We Offer
- An interim position (freelance)
- Location: Rotterdam, with a hybrid working model;