AI/ML Engineer

Machine Learning Engineer - Medical Technology

About the Role

We are supporting a growing Swiss medical technology company looking to strengthen its machine learning capabilities.

You will work on the development and implementation of machine-learning solutions for medical applications, taking projects from experimentation through validation and deployment.

Responsibilities

• Develop and improve machine-learning and deep-learning models for medical applications.
• Work with medical imaging and other complex healthcare datasets.
• Build reliable pipelines for training, testing and evaluating models.
• Improve model performance and prepare solutions for use within production environments.
• Support deployment of machine-learning models onto hardware-constrained systems.
• Work with software engineers to integrate ML solutions into wider product platforms.
• Contribute to data preparation, quality and annotation processes.
• Support testing, validation and technical documentation within a regulated development environment.
• Apply good software engineering and MLOps practices throughout development.
• Collaborate with technical and non-technical teams across the product lifecycle.

Requirements

• MSc or PhD in Machine Learning, AI, Computer Science, Biomedical Engineering or a related discipline.
• 2+ years of commercial ML/AI development experience.
• Strong Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience with computer vision or medical imaging.
• Exposure to deploying and optimising ML models beyond the research environment.
• Understanding of edge, embedded or resource-constrained ML deployment.
• C/C++ knowledge would be beneficial.
• Previous experience within medical devices, healthcare technology or another regulated environment.
• Familiarity with MLOps, source control and modern software-development practices.
• Ultrasound experience would be highly advantageous but is not essential.
• Fluent English.

Only those with the right to work in Switzerland can be considered.

Only those shortlisted will be contacted.