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# Research Infrastructure Developer

- **Company:** University College London Hospitals NHS Foundation Trust
- **Location:** London, UK
- **Salary:** £43,981.0 - £52,586.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Monitoring of Systems, Linux System Administration, AI Infrastructure, Scripting, Graphics Processing Unit (GPU), AI Platforms, Kubernetes, Machine Learning Operations
- **Published:** August 28, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=2347cf8588d42dcb

## About the Role

The successful candidate will need to demonstrate the following criteria.

Essential:

 * Experience working in Linux environments
 * Background in research computing, HPC, or a related technical field
 * Programming skills for scripting, automation, troubleshooting, and operational support Strong problem-solving skills and applying these to support researcher needs
 * Ability to communicate technical concepts effectively to researchers and non-specialists
 * Ability to support organisation of webinars and remote and in person training activities

Desirable:

 * Knowledge of AI/ML infrastructure and workflows
 * Experience with GPU-enabled systems and scheduling technologies, Kubernetes and containerised environments
 * Familiarity with monitoring, performance analysis, and service management practices
 * Experience developing operational metrics and support processes.

## Description

We are seeking a motivated individual with an interest in AI infrastructure and a background in research computing, high-performance computing (HPC), or related technical environments. This role is focused on helping researchers effectively use AI and computational infrastructure, providing direct technical support and guidance to researchers. You will play a key role in maintaining reliable infrastructure, assisting users with technical issues, monitoring system performance, and contributing to the development of operational processes and service metrics., * Provide first-line support to researchers

 * Troubleshooting Linux environments, Kubernetes clusters, AI platforms, GPU-enabled services, and research workloads
 * Assist with platform administration and maintenance
 * Monitor service performance, reliability, and utilisation
 * Help define and implement metrics, procedures, and support processes
 * Work closely with researchers to understand and improve experience
 * Contribute to documentation, knowledge sharing, and continuous service improvement.


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