Machine Learning Engineer

White Recruitment; England; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A leading technology firm in the UK is seeking a Machine Learning Operations Engineer to enhance their ML capabilities. This hybrid role involves maintaining ML Ops infrastructure and collaborating with developers. Strong skills in Kubeflow and AWS are required. A good opportunity to influence technical direction and lead projects. The role offers competitive salary and benefits including private medical insurance and a company pension.

Benefits

10% company pension

25 days annual leave plus bank holidays

Life assurance

Private medical insurance including dental and optical

Qualifications

• Experience in a Machine Learning Ops role.
• Deep knowledge of ML Ops frameworks.
• Familiar with cloud infrastructure and tools.

Responsibilities

• Maintain and improve ML Ops infrastructure.
• Integrate ML toolkits into operational workflows.
• Collaborate with ML developers to streamline workflows.

Skills

Kubeflow

Python

AWS

DevOps

Linux

Education

Research Masters level or equivalent experience

Tools

MLflow

Jenkins

Ansible

Job description

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

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
• Integrate ML toolkits into operational workflows
• Collaborate with ML developers to streamline workflows
• Suggest and implement technical improvements and new tools

Required Skills and Experience

• Academic background (research Masters level) or industry experience in a relevant field
• 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 platforms
• 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 bonus
• 10 percent company pension
• 25 days annual leave plus bank holidays
• Life assurance
• Private medical insurance including dental and optical