Machine Learning Operations Engineer

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 Experience

Academic background (research Masters level) or industry experience in a relevant field
Strong experience managing on premise Kubernetes clusters
Deep knowledge of Kubeflow or similar systems such as MLflow
Proficient in Python and experienced with Linux systems
Familiar with AWS services such as Cognito, S3, EC2 and Lambda
Experience working with ML frameworks such as PyTorch or Lightning
Capable of designing and delivering ML Ops solutions across various platformsDesirable Skills

Background in DevOps with experience in CI systems such as Jenkins
Familiarity with infrastructure as code tools such as Ansible
Interest in human motion capture, sports tech, or animation
Exposure to C++ is a bonusBenefits

£65,000 - £75,000 (DOE)
10 percent company pension
25 days annual leave plus bank holidays
Life assurance
Private medical insurance including dental and optical
Permanent health insurance
Cycle to work scheme
Free on site parking.

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