Lead ML Engineer (12 month FTC)

Lead Machine Learning Engineer 12 Month FTC

Remote UK, up to £ 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.