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

📌 MLOps Engineer (Madrid)
🏢 Materialise
📍 Madrid