At a Glance
- Tasks: Design and scale GPU Intelligence Platform infrastructure while building data pipelines and productionising models.
- Company: CoreWeave, a leader in GPU AI technology with a focus on innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a forward-thinking company with a collaborative culture.
- Why this job: Join a cutting-edge team to enhance AI reliability and scalability in a dynamic environment.
- Qualifications: Experience in MLOps, Kubernetes, and strong problem-solving skills.
The predicted salary is between 72000 - 88000 £ per year.
Core Weave is looking for a Senior Data & MLOps Engineer to design and scale the GPU Intelligence Platform infrastructure.
You will build data pipelines, feature processing, and productionize models across a distributed fleet while separating real-time and batch workloads.
You will deploy scalable services with Kubernetes, apply monitoring, and drive drift detection and diagnostics across teams to improve system health and performance.
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Senior MLOps Engineer: GPU AI Reliability & Scale in London employer: CoreWeave
CoreWeave is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets reliability. With comprehensive benefits such as family-level medical and dental insurance, pension contributions, and tuition reimbursement, employees are supported both personally and professionally. The company fosters a culture of growth and collaboration, ensuring that every Data Centre Technician has the opportunity to develop their skills while contributing to cutting-edge data centre operations.
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We think this is how you could land Senior MLOps Engineer: GPU AI Reliability & Scale in London
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We think you need these skills to ace Senior MLOps Engineer: GPU AI Reliability & Scale in London
Some tips for your application 🫡
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