HPC Support Engineer

Hays

Bournemouth

7 months ago

Applications closed

Related Jobs

View all jobs

Head of AI Acceleration & Delivery

Software Engineer

Machine Learning Engineer (London)

Machine Learning Performance Engineer

Research Data Scientist

Research Associate Data Scientist

Are you passionate about high-performance computing (HPC) and ready to shape the future of cloud GPU infrastructure? A global leader in providing on-demand and reserved cloud GPUs for AI, machine learning, and HPC workloads, urgently need a Contractor HPC Support Engineer.

So, if you thrive on cutting-edge technologies and scalable systems, this is ideal for you.

We are looking for HPC Support experience, focused on HPC system administration.

You will have experience of network technologies such as Infiniband and RoCE; storage technologies such as Vast or Weka; job schedulers such as SLURM or Kubernetes; hypervisors such as Proxmox or VMWare; knowledge of HPC-AI cluster support; some exposure to hardware support would is a positive but not a focus in this role as the primary goal is to access the environment remotely, to check the monitoring dashboards and check logs and messages to identify issues. You must be accustomed to tight SLAs and supporting large clusters of hundreds of servers.

This role is 100% remote in the UK, working PST (Pacific Time) (GMT 1600-0100), Monday to Friday, 3 months, outside IR35.

To know more on this great opportunity, please call Giles Murphy at Hays asap!Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

TPBN1_UKTJ

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jul 2, 2025

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jun 29, 2025

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Jun 24, 2025

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.