Job

Senior Machine Learning Engineer

Location: Cambridge (Hybrid)

A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed.

Responsibilities

• Develop and optimise ML models for medical image processing and analysis
• Build and integrate AI pipelines within scalable production environments
• Collaborate with data, clinical and software teams to ensure robust, validated outputs

Skills & Experience

• MSc / PhD in Computer Science, Machine Learning or related discipline
• 3+ years’ experience developing ML models, with a strong focus on medical imaging
• Proven track record using deep learning frameworks (PyTorch / TensorFlow)
• Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow)
• Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction)
• Share options and private healthcare
• Flexible hybrid working

Seniority level

• Mid-Senior level

Employment type

• Full-time

Industries

• Medical Equipment Manufacturing and Medical Practices

If this position seems like one that suits you and you have the necessary experience, then apply now!