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Machine Learning Operations Engineer

Vicon
Oxford
4 days ago
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Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer – 11328SR

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

  • Join the ML Operations teams which support the ML Development team in building leading‑edge motion capture products through provisioning and maintaining a modern ML Operations stack.
  • Build and maintain data acquisition pipelines, data management and ML model training infrastructure (software and on‑premise hardware).
  • Provide both on‑prem, self‑managed systems and leverage AWS infrastructure.
  • Guide the technical direction of the ML Ops team, suggest new areas of development and potentially lead your own project.
  • Work in a hybrid on‑site/home‑based environment; no expectation to be “on call” outside core office hours.

Required Skills, Knowledge and Expertise

  • Relevant academic (research Masters level) and/or industry experience.
  • Excellent knowledge and experience of managing an on‑premise Kubernetes 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, Lambdas).
  • Experience with ML toolkits (PyTorch, Lightning, etc.) and understanding of how these fit into ML Ops pipelines and tools.
  • Ability 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


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