Salary: £70,000 - 90,000 per year Requirements: Strong relevant industry experience in machine learning engineering Strong Python and PyTorch experience Experience training machine learning models at scale Experience building and maintaining model deployment and inference pipelines Hands-on experience using Docker in production environments Strong Linux and Git skills Experience working in cloud environments (AWS, GCP or Azure all acceptable) Experience working with CI pipelines Proactive, self-sufficient and highly communicative working style Strong English written and verbal communication skills Educated to a minimum of Masters Level Responsibilities: Develop, train and deploy machine learning models into scalable production environments Support and improve large-scale model training and inference pipelines Collaborate closely with ML Scientists to productionise research models Work with engineering teams to ensure robust, secure and efficient deployment Contribute to code quality, documentation and best practices across the ML engineering function Technologies: 3D AWS Azure Cloud Computer Vision Docker GCP Git Support Linux Machine Learning PyTorch Python AI More: We are a fast-growing health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. Our team focuses on building large-scale, production-grade ML systems applied to complex 3D imaging data. We offer a hybrid working model with one day a week in our London office and four days remote. The salary ranges between £70,000 and £90,000 per annum, with flexibility for the right candidate, in addition to other benefits. Join us for the opportunity to work on impactful health-tech projects and a clearly defined career trajectory towards becoming Head of Machine Learning. last updated 4 week of 2026