Senior MLOps Engineer

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.

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)

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.

If this role is of interest, or you have further questions, please contact Matt Andrews.