Full job description

Senior Machine Learning Engineer
London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus

This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team.

The Company
They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference.The Role
You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready.
Key responsibilities include:*Building and deploying machine learning models into live production environments
*Designing and maintaining MLOps workflows, including model lifecycle management
*Developing APIs and containerised services to support ML products
*Implementing DevOps best practices across development and production
*Collaborating cross functionally to align data, modelling, and business requirements
Your Skills and Experience*Strong commercial experience developing machine learning solutions in Python
*Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow
*Experience building and deploying containerised services and APIs
*Working knowledge of SQL and data driven application development
*Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure
*Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial
What They Offer*Salary up to £110,000 plus a 20% bonus
*Hybrid working with two days per week in the London office
*Exposure to varied, high impact machine learning projects
*Clear scope for technical ownership and career progression
*A collaborative culture with strong investment in data and AI capability