Machine Learning Operations Engineer

Vicon Motion Systems Limited; Oxford; Hybrid; GBP 40,000 - 75,000; Full time

Job summary

Join a leading company in motion capture technology as a Machine Learning Operations Engineer. This role requires managing a modern operations stack to support product development in a hybrid working environment. Ideal candidates will have expertise in ML tools, programming, and AWS services.

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 and/or industry experience.
• Familiar with ML Ops pipelines and tools.
• Experience in a collaborative tech environment.

Responsibilities

• Join the ML Operations teams to support ML Development.
• Maintain a modern ML Operations stack using AWS and on-prem systems.
• Guide technical direction and lead projects.

Skills

Managing Kubenetes cluster

Kubeflow

Python programming

Linux systems

AWS experience

ML toolkits usage

Education

Research Masters level

Job description

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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?

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Animation and Post-production

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