Senior MLOps Engineer

Intellectual Capital Resources Ltd; Cambridgeshire and Peterborough; On-site; GBP 75,000 - 110,000; Full time

Job summary

Intellectual Capital Resources Ltd is seeking a senior MLOps/System Administration engineer to join their growing tech team. You will provision and maintain multi-rack GPU server clusters for inference and training workloads, enabling cutting-edge AI and deeptech research.

This hands-on role sits in a small team and offers a highly visible opportunity to shape infrastructure, tooling, and performance at the intersection of high-end hardware and software orchestration.

Qualifications

• Significant engineering experience in roles such as System Administration, HPC Engineering, MLOps Engineering.
• Modern GPU server deployment, tuning and management.
• Advanced networking technologies (Infiniband, RDMA, RoCE).
• Advanced Linux skills and experience working with servers running hypervisors/VMs and multiple distributions (e.g. Ubuntu, RHEL).
• Expertise in source code management (e.g. Git).
• IaC tools (e.g. Terraform, OpenTofu).
• A strong understanding of network design and switch/router/firewall configuration.

Responsibilities

• Provision and maintain multi-rack GPU server clusters for inference and training workloads.
• Work hands-on at the intersection of high-end hardware and software orchestration.
• Be part of a small team with a highly visible role in infrastructure success for research and development.

Skills

System Administration

MLOps

GPU servers

Networking

Linux

Git

IaC

Network design

Tools

Terraform

OpenTofu

Job description

My client is an exciting growing tech company focused on building cloud platform services for the AI and deeptech research community. They are looking to expand their MLOps and System Administration team by hiring a further senior engineer, to continue building/supporting their infrastructure, which is used for research and development. The role will involve provisioning & maintaining multi-rack GPU server clusters designed for both inference and training workloads. This role is perfect for a hands-on engineer who thrives on the intersection of cutting-edge high-end hardware and complex software orchestration.

You’ll be working as part of a small team and this is a great opportunity to play a very visible and pivotal role in achieving success for this company.

Key skills/experience required:

• Significant engineering experience in roles such as System Administration, HPC Engineering, MLOps Engineering
• Modern GPU server deployment, tuning and management
• Advanced networking technologies (Infiniband, RDMA, RoCE)
• Advanced Linux skills and experience working with servers running hypervisors/VMs and multiple distributions (e.g. Ubuntu, RHEL)
• Expertise in source code management (e.g. Git)
• IaC tools (e.g. Terraform, OpenTofu)
• A strong understanding of network design and switch/router/firewall configuration

Experience in any of the following would also be highly beneficial

• High-performance or high-availability storage servers/clusters (Lustre, Ceph, Weka, PEAK:AIO)
• HPC workload managers (Slurm, LSF)