ML Engineer - HPC/GPU & Cloud in England

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Role

Sentinel is working with an AI research team that is building next-generation infrastructure to accelerate scientific discovery. We are looking for several engineers to help design, build, and operate cutting‑edge GPU clusters in a hybrid cloud and HPC environment. This is a rare opportunity to work on large‑scale, high‑performance systems that support AI research.

Responsibilities

• Design, build, and manage high-performance GPU clusters for AI training and inference
• Optimise data pipelines, storage, and networking for efficiency at scale
• Implement robust monitoring, security, and lifecycle management for HPC and cloud systems
• Work with research and applied AI teams to forecast GPU and storage requirements, and streamline ML experimentation pipelinesi>
• Operate in a hybrid environment, combining on‑prem HPC and public cloud infrastructure

Skills/Experience

• Experienced with HPC/GPU clusters and a deep understanding of GPU hardware and distributed computing
• Strong cloud engineering background, ideally with experience in hybrid cloud and on‑prem HPC environments
• Proficient with containerisation, Kubernetes, CI/CD, and infrastructure‑as‑code tools
• A first‑principles thinker, capable of designing optimal architectures and resolving performance bottlenecks
• Thrives in high‑autonomy, cutting‑edge environments and enjoys solving rare technical challenges

Compensation

• Competitive salary depending on experience, comparable to Meta, Google, OpenAI
• Bonus and benefits package
• Unique technical environment with a Greenfield opportunity

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Research and Information Technology
• Industries: Research Services, Information Services, and Data Infrastructure and Analytics

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