Machine Learning Operations Engineer
New Today
Description
We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England.
Key Responsibilities
Required Skills, Knowledge and Expertise
- 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.
- 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
- Location:
- Oxford
- Job Type:
- FullTime
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