Senior AI Infrastructure Engineer - GPU Cloud Platform

Contract Type:

Full Time

Location:

London, United Kingdom, United Kingdom

Industry:

Cloud Engineering

Date Published:

13-Nov-2026


Senior AI Infrastructure Engineer – GPU Cloud Platform

London (Hybrid, 2 days in office) | £90,000 – £120,000 | Permanent

The company

A VC-backed AI cloud provider that gives AI companies and research teams access to large-scale GPU compute. They’ve raised Series A funding, have around 60 people, and are scaling their platform across multiple data centres in the UK and Europe. Customers range from early-stage AI startups to enterprise ML teams running large training and inference workloads.

The role

You’ll join a small, senior infrastructure team that owns the platform customers run their workloads on. This is a hands-on role with real ownership. You’ll help shape how the platform scales as GPU capacity grows over the next 12–18 months.

What you’ll be doing

  • Building and operating Kubernetes clusters for GPU workloads across bare-metal and cloud environments
  • Managing GPU scheduling, multi-tenancy and resource isolation using tools such as the NVIDIA GPU Operator
  • Automating provisioning and configuration with Terraform, Ansible and GitOps (ArgoCD/Flux)
  • Improving observability and reliability with Prometheus, Grafana and alerting on high-value compute
  • Working on networking and storage performance for distributed training (InfiniBand/RoCE, high-throughput storage)
  • Supporting customers and internal ML engineers to get workloads running efficiently
  • Taking part in a fair, well-supported on-call rota

What they’re looking for

  • 5+ years in platform, infrastructure or SRE roles
  • Deep production Kubernetes experience, ideally including operators or custom controllers
  • Strong Terraform / infrastructure as code skills
  • Solid Linux and networking fundamentals
  • Go or Python for tooling and automation
  • Experience with AWS, GCP, Azure or on-prem environments

Nice to have

  • GPU infrastructure experience (NVIDIA, CUDA drivers, DCGM)
  • Slurm or HPC backgrounds
  • Bare-metal or data-centre experience
  • Exposure to Ray, Kubeflow or distributed training workloads

Please note: Applicants must have the right to work in the UK. Visa sponsorship is not available for this role.

Interested? Apply directly or email max@neartechsearch.com for a confidential conversation and the full job spec.

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