ML Engineer - HPC/GPU & Cloud

ML Engineer - HPC/GPU & Cloud

Salary: £150,000 - £200,000 (depending on experience)

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 life cycle management for HPC and cloud systems
• Work with research and applied AI teams to forecast GPU and storage requirements, and streamline ML experimentation pipelines
• 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