Infrastructure Engineer

The Engage Partnership Recruitment; Greater London; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

Join a forward-thinking tech team as a Machine Learning Infrastructure Engineer, where you'll support and optimize high-performance AI and ML environments. This role offers the chance to tackle meaningful infrastructure challenges while collaborating with a dynamic service desk and infrastructure team. You'll lead user onboarding, troubleshoot technical issues, and enhance infrastructure reliability. Enjoy the flexibility of hybrid working in Central London, contributing to visible improvements in a supportive and high-performing environment. If you're passionate about AI/ML and eager to make an impact, we want to hear from you!

Qualifications

• 2+ years of experience administering HPC infrastructure.
• Hands-on experience with Infiniband, Slurm, and GPU compute platforms.
• Strong documentation habits and a customer-focused mindset.

Responsibilities

• Administer and support HPC systems used in AI/ML workflows.
• Troubleshoot scheduled job queues and task automation issues.
• Manage incoming service requests and incidents across layers.

Skills

HPC infrastructure administration

Infiniband

Slurm

GPU compute platforms (CUDA)

Systems administration

Troubleshooting

Documentation

Customer-focused mindset

VDI solutions

Monitoring tools

Jira Service Desk

Terraform scripting

SSL management

Infrastructure-as-code

Cloud database platforms

Operating systems

Education

Bachelor's degree in Computer Science or related field

Tools

Microsoft 365

Teams

Confluence

Azure

SiteGround

Job description

Direct message the job poster from The Engage Partnership Recruitment

Machine Learning Infrastructure Engineer

Support high-performance AI and ML environments as part of a collaborative, forward-thinking tech team

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:

• 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
• 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
• 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 [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting, IT System Operations and Maintenance, and IT System Custom Software Development

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