Lead ML Engineer (Permanent)

Lead Machine Learning Engineer 12 Month FTC Remote UK, up to £90,000, 12 month fixed term contract This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability. Lead the engineering and productionisation of machine learning and generative AI solutions. Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance. Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background. Proven ability to deploy, operate and maintain machine learning systems in production. Hands on experience with cloud based data and ML platforms, particularly on Azure. Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from design through to monitoring and optimisation. Excellent work life balance and a supportive, collaborative culture. The chance to shape ML engineering standards and capability from the ground up. Strong potential for the role to become permanent, with future people leadership opportunities. If you are an experienced ML Engineer looking for a hands on role with real influence and long term potential, apply now to find out more….