Research Infrastructure Developer

UCL Eastman Dental Institute; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading research institution in the UK seeks a Research Infrastructure Developer to build and support AI platforms. The role involves adapting ML workflows for users, with growth opportunities in training and management. The ideal candidate will have experience in the full ML lifecycle and support for GPU optimization, alongside a passion for software development best practices.

Benefits

41 Days holiday

Pension Scheme

Cycle to work scheme

On-site nursery

On-site gym

Enhanced maternity, paternity and adoption pay

Employee assistance programme

Discounted medical insurance

Qualifications

• Experience in building, deploying and supporting infrastructure or applications in a research environment.
• Experience in ML model development, training and fine-tuning.
• Willingness to learn Kubernetes and complex AI applications.

Responsibilities

• Develop and support AI platforms for users and data scientists.
• Advocate for best practices in software development.
• Help users adapt their workflows to the ARC Unified AI platform.

Skills

Experience with cloud native environments

ML workflows adaptation

GPU benchmarking/optimization

Familiarity with PyTorch

Experience in the full ML lifecycle

Job description

About the role

A Research Infrastructure Developer will be interested in building and supporting AI platforms in cloud native environments with the intention to become an expert. Therefore, you will have experience building, deploying and supporting equivalent infrastructure or applications in a research environment and / or industrial equivalent settings.

You will be a strong advocate for “building it right” – software defined, in version control etc. As part of this role there is an opportunity for growth – to obtain advancement by the Research Infrastructure Developer steering the focus to include training, line management, research or further specialisation in HPC / Cloud technologies.

About you

This role will be focused on helping and supporting users and data scientists to adapt their ML workflows on the ARC Unified AI platform based on Kubernetes. Furthermore, you will have experience (or willing to learn) on GPU benchmarking / optimisation to ensure best use of the hardware resources. The Unified AI team will be able to provide training on Kubernetes so you can more easily deploy and debug complex AI applications.

Experience in the full ML lifecycle (model development, ML / LLM training and fine‑tuning, evaluation and deployment) and familiarity with PyTorch are essential.

Please use the cover letter upload option to tell us how you meet the criteria set out in the person specification. Further information about working in ARC can be found on our website. If you have any queries regarding the vacancy or application process, please contact Jodie Jackson via

What we offer

As well as the exciting opportunities this role presents we also offer some great benefits some of which are below :

• 41 Days holiday (including 27 days annual leave, 8 bank holiday and 6 closure days)
• Eligible for Pension Scheme (defined benefit scheme; staff contribute and UCL will contribute Life insurance is included (3x salary))
• Cycle to work scheme and season ticket loan
• On‑site nursery
• On‑site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme
• Discounted medical insurance