HPC & AI Infrastructure Consultant - GPU Clusters & MLOps

Lenovo; Farnborough; On-site; GBP 65,000 - 105,000; Full time

Benefits offered by this job

International team

Training platform

CO2 offset & sustainability

Job summary

Lenovo is seeking a Technical Consultant to deliver large-scale HPC and AI infrastructure solutions across the EMEA region and beyond. You will deploy, validate, and optimize GPU-enabled environments, working closely with customers and project teams to ensure successful production handover.

The role covers data centre infrastructure, networking, storage, and containerized workloads, with emphasis on Kubeflow, MLOps, and GPU orchestration.

Qualifications

• Experience administering Linux environments in enterprise-scale HPC/AI infra.
• Deployment, integration, and support of HPC/AI clusters from install to production readiness.
• Knowledge of NVIDIA AI platforms, GPU architectures and GPU resource management.
• Proficiency in Python, Bash, Ansible, and Git; strong troubleshooting and documentation skills.

Responsibilities

• Deploy, configure, and support large-scale HPC/AI infrastructure for enterprise customers.
• Work across data centre infra, networking, storage, Kubernetes, and GPU environments.
• Lead integration, validation, testing, and troubleshooting for deployments.
• Implement and optimize AI orchestration, MLOps platforms, and GPU workloads.
• Collaborate with customers, partners, and internal teams through project lifecycles.

Skills

Linux administration

HPC deployment

Troubleshooting

Documentation

Workshop delivery

Education

Bachelor’s degree in a relevant field

Tools

Kubernetes

OpenShift

Kubeflow

Prometheus

Grafana

NVIDIA DCGM

Slurm

PBS Pro

Git

Job description

Lenovo is seeking a Technical Consultant to deliver large-scale HPC and AI infrastructure solutions across the EMEA region and beyond. You will deploy, validate, and optimize GPU-enabled environments, working closely with customers and project teams to ensure successful production handover.

The role covers data centre infrastructure, networking, storage, and containerized workloads, with emphasis on Kubeflow, MLOps, and GPU orchestration.