Infrastructure Engineer

Machine Learning Infrastructure Engineer Salary: Up to £45k Location: Central London – Hybrid/Onsite flexibility Support high-performance AI and ML environments as part of a collaborative, forward-thinking tech team Your Role: We’re hiring a Machine Learning Infrastructure Engineer to support and optimise mission-critical HPC environments used in AI and machine learning. You’ll be part of a dynamic service desk and infrastructure team, working directly with users, solving technical challenges, and improving infrastructure reliability across complex environments. What You’ll Be Doing: Administering and supporting HPC systems used in AI/ML workflows Troubleshooting scheduled job queues and task automation issues Managing incoming service requests and incidents across end-user and infrastructure layers Leading user onboarding/offboarding and internal IT provisioning Supporting client-facing projects, infrastructure upgrades, and recommendations Maintaining and improving internal tools like Microsoft 365, Teams, and Confluence Collaborating on hardware procurement and IT service improvements (And if you don’t tick every box – that’s okay. We’d still love to hear from you.) The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager What We’re Looking For: 2 years of experience administering HPC infrastructure Hands-on experience with Infiniband, Slurm, and GPU compute platforms (e.g. CUDA) Proficiency in systems administration and troubleshooting Strong documentation habits and a customer-focused mindset Experience with VDI solutions and monitoring tools Bonus Points: Familiarity with Jira Service Desk and Terraform scripting Exposure to SSL management, infrastructure-as-code, or cloud database platforms Comfort with a wide range of operating systems and tools, from Azure to SiteGround How You Work: Clear communicator with a strong sense of ownership Comfortable operating independently and solving problems proactively Enjoys creating simplicity from complexity Always looking to learn, improve, and collaborate Why This Role? Work on meaningful AI/ML infrastructure challenges Join a collaborative, high-performing support and engineering team Enjoy autonomy and ownership while contributing to visible improvements Flexible hybrid working in Central London Interested? Let’s talk – email Thana@engagewithus.com

Location: London, GB

Posted Date: 5/1/2025