3 Computer Vision Engineer jobs in Oxfordshire
Machine Learning Operations Engineer
Posted 5 days ago
Job Viewed
Job Description
ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK)
An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond.
You’ll be part of a collaborative R&D team that’s pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact.
The Role:
You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources.
As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team.
The company offers a hybrid working model , with a head office in a major academic city. There is no on-call expectation outside of core office hours .
Key Responsibilities:
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Manage and maintain on-premise Kubernetes clusters
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Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow)
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Develop scripts and tooling in Python; manage Linux system configurations
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Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.)
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Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows
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Design and deploy robust ML Ops solutions across various technologies
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Contribute to the technical strategy and suggest improvements to the ML Ops stack
Required Skills and Experience:
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Solid experience managing on-premise Kubernetes clusters
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Strong knowledge of Kubeflow or similar ML Ops platforms
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Proficiency in Python programming, Linux systems, and scripting
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Experience with AWS services (Cognito, S3, EC2, Lambda, etc.)
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Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines
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Ability to design and implement comprehensive ML Ops solutions
Desirable Skills:
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Background in DevOps with CI/CD experience (e.g., Jenkins)
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Knowledge of infrastructure-as-code tools (e.g., Ansible)
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Interest in human motion capture, sports, or animation technologies
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Familiarity with C++
Benefits Package:
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Competitive salary
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10% company pension contribution
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25 days annual leave + bank holidays
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Life cover
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Private medical insurance with optical/dental coverage
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Permanent health insurance
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Cycle to work scheme
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Free on-site parking
If you’re passionate about ML Ops and looking to work on pioneering technology in a growing, innovative environment, we’d love to hear from you.
Apply now to be part of a team shaping the future of motion capture technology.
Machine Learning Ops Engineer
Posted 11 days ago
Job Viewed
Job Description
We are looking for an excellent ML Ops Engineer to join our research and development team.
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.
Required Skills, Knowledge and Expertise
You will have relevant academic (research Masters level) and/or industry experience.
- 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, sport, animation tools and techniques.
- Familiarity with C++.
Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292
Posted 10 days ago
Job Viewed
Job Description
Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292
My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that aim to transform g.
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