Machine Learning Operations Engineer

Vicon; Oxford; Hybrid; GBP 40,000 - 65,000; Full time

Job summary

A leading technology company is seeking an ML Ops Engineer to join their research and development team in Oxford. The role involves building and maintaining a modern ML Operations stack, contributing to the development of cutting-edge motion capture products. The ideal candidate will have strong skills in Kubernetes, Python, and AWS, alongside a passion for motion capture technology.

Benefits

Competitive salary

10% Company Pension

25 days Annual Leave + Bank Holidays

Life Cover

Private Medical with Optical / Dental Insurance

Permanent Health Insurance

Cycle to work scheme

Free On-site Parking

Qualifications

• Relevant academic (research Master's level) and/or industry experience.
• Excellent knowledge and experience of managing an on-premise Kubernetes cluster.
• Good programming ability in Python and familiarity with Linux systems.

Responsibilities

• Join the ML Operations teams and support the ML Development team.
• Maintain a modern ML Operations stack including data management and infrastructure.
• Guide the technical direction of the ML Ops team and lead projects.

Skills

Kubernetes management

Python programming

AWS services

ML toolkits

Linux systems

Education

Research Master's or industry experience

Tools

Kubeflow

MLflow

Job description

Department: Vicon Markerless

Location: Botley, Oxfordshire

Description

Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award-winning company, and the world’s largest supplier of precision motion capture and tracking systems?

Vicon is the world leader in motion capture technology, developing high performance software and hardware products for the entertainment, engineering and life science industries. Vicon products are used in major feature films, games, and commercials, and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science.

Vicon is a subsidiary of Oxford Metrics Plc.

We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England.

Key Responsibilities

This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack.

This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure.

You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project.

We offer a hybrid on-site/home-based working environment, with head office located in a major academic city. There is no expectation to be 'on call' outside core office hours.

Required Skills, Knowledge and Expertise

You will have relevant academic (research Masters level) and/or industry experience.

Essential Skills

• Excellent knowledge and experience of managing an on-premise Kubenetes cluster.
• Excellent knowledge of Kubeflow and similar systems, e.g. MLflow
• Good programming ability in Python with familiarity with Linux systems including scripting and system configuration.
• Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc.
• Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools.
• Be able to design and implement MLOps solutions covering many different technologies.

Desirable Skills

• Background in DevOps with exposure to CI systems, e.g. Jenkins
• Familiarity with infrastructure as code, e.g. Ansible
• Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques.
• Familiarity with C++.
  
  

Benefits

· Competitive salary
· 10% Company Pension
· 25 days Annual Leave + Bank Holidays
· Life Cover
· Private Medical with Optical / Dental Insurance
· Permanent Health Insurance
· Cycle to work scheme.
· Free On-site Parking