At Materialise Medical, we believe that better healthcare starts with solutions designed around the individual patient. If you’re passionate about bringing personalized care to every patient, you’ll love being a part of this team. Through the technology we develop, researchers, engineers, and clinicians are revolutionizing personalized treatment — helping improve and save lives daily.

What you will do

Transform proof-of-concept scripts into Pipelines with different processing steps
Develop and maintain monitoring and alerting systems to ensure the health and performance of deployed models
Cross-functional collaboration with research teams and development teams
Maintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoring
Optimize and enhance model performance, scalability, and reliability in production environments
Take responsibility for code testing and quality checking
Stay on top of the latest trends in the field of MLOps and cloud platforms

Your profile

Bachelor's or Master's degree in Computer Science, Data Engineering,



Biomedical Engineering, or a related field
Strong programming skills in Python
Experience with machine learning frameworks such as TensorFlow, PyTorch, ONNX, or scikit-learn
Proficiency in cloud platforms such as AWS SageMaker (preferred), GCP Vertex A,I or Azure ML
Experience with medical imaging is a plus
Knowledge of experiment tracking frameworks like mlflow or weights & biases
Familiarity with Docker
Familiarity with version control systems (e.g., Git, Git-LFS, DVS) and CI/CD pipelines
Experience with Terraform
Professional English language skills
Solid knowledge of Linux and Windows operating systems

What’s Waiting For You

Work that matters

The technology we build at Materialise pushes the boundaries. You’ll find pride in building something that matters, whether you designed it, printed it, or shipped it. No matter your role, we unlock new possibilities to build a better and healthie

📌 MLOps Engineer (Barcelona)
🏢 Materialise
📍 Barcelona