(198488) Lead ML Engineer

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. The Company They are a large, well established UK organisation operating in a highly regulated, information rich environment. 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. The Role • 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. • Provide hands on technical leadership, contributing to architecture decisions and best practice. • Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience • 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. • Clear communication skills and comfort working directly with non technical stakeholders. What They Offer • 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. How to Apply 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.