Role: Machine Learning Operations Engineer Location: Oxfordshire Salary: £65,000 - £75,000

This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to support and enhance their cutting edge machine learning capabilities.

The Role

You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS.

You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects.

This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours.

Key Responsibilities

Maintain and improve ML Ops infrastructure Manage on premise Kubernetes clusters and ML pipelines Integrate ML toolkits into operational workflows Collaborate with ML developers to streamline workflows Suggest and implement technical improvements and new toolsRequired Skills and Expe...