An incredibly exciting opportunity has arisen for a MLOps Enigneer to join a Global Market Leader based in Oxfordshire, spearheading technology for both marker & markerless motion capture technology. This Academy Award®-winning company, and the world’s largest supplier of precision motion capture and tracking systems and is at the forefront of innovation in the industry.
Developing high performance software and hardware products for the entertainment, engineering and life science industries, their products are used in major feature films, games, and commercials, and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science.
Due to their continued success, they are looking to expand their engineering team and are looking for an excellent MLOps Engineer to join the 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.
They 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
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