Senior Machine Learning Engineer (Contract)

Senior Machine Learning Engineer (Contract) Are you a hands-on Machine Learning Engineer who enjoys taking models from research and experimentation all the way through to production? Our client is a fast-growing healthcare AI business using machine learning to help hospitals recover lost appointment capacity, reduce waiting lists and treat more patients with the resources they already have. They are looking for a Senior Machine Learning Engineer to help build and scale the ML systems at the heart of their platform. This is a highly hands-on contract role for someone who combines strong machine learning expertise with genuine backend and software engineering capability. In This Role, You Will • Research, prototype and productionise machine learning models. • Own the full ML lifecycle, including training, deployment, monitoring and retraining. • Design and build scalable backend services and APIs. • Work with large, complex datasets and build secure, reliable systems. • Contribute to ML strategy, architecture and key technical decisions. • Work closely with product and engineering teams to deliver solutions with real-world impact. Essential Requirements • 5+ years of commercial software development experience. • Proven experience taking ML models into production. • Strong Python and SQL skills. • Strong backend engineering experience, including APIs. • Experience with databases, data modelling and system design. • Strong AWS experience. • Solid software engineering and computer science fundamentals. Even Better If You Have • Reinforcement learning experience. • Experience with Docker, ECS, Kubernetes and/or Terraform. • Experience working with large datasets in healthcare or another regulated environment. In Return, You Will Receive • Initial 3-6 month contract, with the potential to extend. • Day rate of up to £500 per day (Outside IR35). • Hybrid working from a Central London office, typically around 2 days per week. • The opportunity to take real ownership of core ML systems and make an immediate impact within a growing healthcare AI business. Interested? Apply now or get in touch to find out more.