Machine learning engineer - medical imaging
Pubblicato il 15-08-2026 - trtwo in Roma
Machine Learning Engineer - Medical Imaging Career path toward Lead ML Engineer or Head of AI within 2-3 years Industry Sectors Healthcare & Medical, Information Technology, Research & Development Technologies you'll work with powered by Job Nautilus Salary 60,000 - 80,000 EUR/year + equity 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.
Responsibilities 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 Must-have Requirements MSc or Ph D in Computer Science, Biomedical Engineering or related field 3+ years experience with deep learning frameworks (Py Torch preferred) Strong experience with CNNs, U-Net, Vision Transformers for image analysis Experience with medical imaging data (DICOM, NIf TI) Python proficiency and familiarity with MLOps tools Nice-to-have Requirements Publications in medical imaging or computer vision conferences Experience with FDA/CE marking processes for AI medical devices Knowledge of federated learning approaches Personal Requirements 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