AI /ML Platform Engineer

1 week ago

London Area, United Kingdom Computappoint Full time £60,000 - £82,500 per year

AI/ML Platform Engineer (Senior Consultant) | Permanent position

  • Location: Central London
  • Hybrid model
  • Salary:
    Up to £82,500 + Excellent Benefits
  • Available position:
    2 positions

Our client, a leading IT services provider, is seeking an experienced AI/ML Platform Engineer to support a transformative project within the UK education sector.
You'll play a critical role in delivering and maintaining a cutting-edge AI/ML Operations platform
for a prestigious academic institution, collaborating closely with IT teams, third-party vendors, and
internal specialists to deploy a state-of-the-art high-performance computing environment (HPC).
The role requires strong
hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run:AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments
to ensure successful platform delivery and ongoing operational excellence.

Key Responsibilities:

  • Deploy and configure a complete AI/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration
  • Shadow vendor installations, conduct knowledge transfer, and validate platform performance against AI/ML development requirements
  • Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches
  • Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements
  • Create comprehensive documentation covering configuration, maintenance procedures, and troubleshooting guides
  • Collaborate effectively with IT teams, third-party vendors, and internal specialists throughout implementation and BAU phases

Required Qualifications & Experience:

  • Strong experience deploying and supporting HPC environments for AI/ML workloads
  • Strong Ubuntu server administration and extensive Kubernetes cluster management experience
  • Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable)
  • Understanding of networking in containerised environments and experience supporting complex computing infrastructures
  • Strong documentation and knowledge transfer capabilities

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