HPC & ML Systems Engineer

UKRI International; United Kingdom; Remote; GBP 46,000 - 52,000; Full time

Job summary

UKRI International is seeking a technically skilled IT professional to maintain and develop the Institute's Scientific Computing facilities, including a large HPC cluster, storage systems and Linux workstations. The role focuses on supporting neurobiology-related data analyses, deep learning workloads, and petabyte-scale brain datasets.

You will work with a distributed team to plan, install, commission and maintain compute and storage resources, advise users, and help implement disaster recovery

Qualifications

• Essential: Degree in Computing, Science or equivalent subject.
• Desirable: MSc/MA/PhD or other computing qualifications.
• Experience of server administration and/or system development.
• Experience of supporting Linux and Unix systems.
• Experience of training large language models with large datasets.

Responsibilities

• Maintain and troubleshoot the Institute’s Scientific Computing services and HPC cluster.
• Lead and manage discrete infrastructure services/projects.
• Develop and maintain hardware/software solutions for deep learning workloads.
• Maintain High Performance Computing cluster and petabyte-scale storage systems.
• Create and maintain documentation of configurations and operations.
• Provide technical support to users and assist with training.

Skills

Server administration

System development

Linux/Unix support

Shell scripting

Python

C

Communication skills

Team collaboration

Education

Degree in Computing or equivalent

MSc/MA/PhD in computing

Tools

NFS

Samba

LDAP

Kerberos

Active Directory

PyTorch

TensorFlow

OpenCV

Jax

SLURM

Ceph

Beegfs

Job description

UKRI International is seeking a technically skilled IT professional to maintain and develop the Institute's Scientific Computing facilities, including a large HPC cluster, storage systems and Linux workstations. The role focuses on supporting neurobiology-related data analyses, deep learning workloads, and petabyte-scale brain datasets.

You will work with a distributed team to plan, install, commission and maintain compute and storage resources, advise users, and help implement disaster recovery