Machine Learning Engineer - Medical Imaging

An innovative company in the digital health sector is building the next generation of AI-assisted diagnostic tools and is looking for a Machine Learning Engineer specialising in medical imaging. You will develop and deploy deep learning models for radiology and pathology applications.

You will work with a multidisciplinary team of doctors, data scientists and engineers to bring AI from research to clinical practice.

• Develop and train deep learning models for medical image classification and segmentation
• Build data pipelines for DICOM image preprocessing and augmentation
• Collaborate with radiologists for model validation and clinical testing
• Deploy models via containerised inference services with sub-second latency
• Stay current with latest research in medical AI and computer vision
• Ensure compliance with MDR and AI Act requirements for medical devices

• MSc or PhD in Computer Science, Biomedical Engineering or related field
• 3+ years experience with deep learning frameworks (PyTorch preferred)
• Strong experience with CNNs, U-Net, Vision Transformers for image analysis
• Experience with medical imaging data (DICOM, NIfTI)
• Python proficiency and familiarity with MLOps tools
• Fluent English

• Publications in medical imaging or computer vision conferences
• Experience with FDA/CE marking processes for AI medical devices
• Knowledge of federated learning approaches
• NVIDIA Clara or MONAI framework experience

• Passion for applying AI to improve healthcare outcomes
• Rigorous scientific approach with attention to reproducibility
• Ability to communicate complex technical concepts to non-technical stakeholders
• Ethical mindset regarding AI in healthcare