Senior Machine Learning Engineer - MlOps

Established Search is seeking a Senior Machine Learning Engineer (ML Ops) to support the development, deployment, and maintenance of AI-powered medical imaging technologies. This role involves building robust ML pipelines, deploying deep learning models into clinical environments, and ensuring compliance with regulatory frameworks for AI/ML Software as a Medical Device.

Responsibilities:

• Build and maintain ML infrastructure supporting AI-powered CT/MRI image enhancement and analysis
• Develop and operationalize deep learning pipelines, including data ingestion, preprocessing, training, validation, and deployment
• Write production-grade code to set up, optimize, and maintain deep learning model architectures
• Feed imaging data into training workflows and evaluate performance using separate validation and test datasets
• Improve the efficiency of deep learning algorithms to run effectively on standard hospital scanners and clinical hardware
• Deploy, monitor, and maintain software systems across cloud platforms and on-premise clinical sites
• Build and support CI/CD pipelines for model release, testing, and continuous deployment
• Develop tools for experiment tracking, model versioning, and reproducible research workflows
• Run simulations and performance analyses (manual or automated) to evaluate system behavior under varying conditions
• Monitor system operations to detect issues early and support troubleshooting
• Participate in Quality Management System (QMS) processes supporting AI/ML SaMD products
• Ensure compliance with regulatory frameworks including ISO 13485, ISO 14971, IEC 62304, and IEC 62366
• Maintain detailed logs of code and model changes in accordance with QMS procedures
• Conceive, document, and carry out software design and testing plans
• Support data protection activities including audits, investigations, and required training
• Work closely with research teams to transition next-generation AI imaging models from experimentation to production
• Support publication of new technologies and contribute to patent submissions for innovative ML solutions
• Identify system, hardware, or software components needed to meet user and customer requirements

Requirements:

• Master's degree in Computer Science, Engineering, or related field
• 5+ years of software engineering experience, including work as a full-stack developer and/or ML Ops engineer
• Strong programming skills in Python, C, and/or C++
• Understanding of medical imaging principles (CT, MRI) and/or deep learning pipelines for medical images
• Working knowledge of QMS regulations and standards: ISO 13485, ISO 14971, IEC 62304, IEC 62366