Research Infrastructure Developer

About usThe UCL Centre for Advanced Research Computing (ARC) is UCL's new institute for infrastructure and innovation in digital research - the supercomputers, datasets, software and people that make computational science and digital scholarship possible.We are an innovative hybrid: a professional services department that delivers reliable and secure infrastructure and services to UCL research groups, and a laboratory for research and innovation in the application of advanced computational and data intensive research methods, working in partnership with academics from all fields.We are a home for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists and data stewards - who support and collaborate in the delivery of UCL research, providing outstanding career development opportunities for these new kinds of research professionals.About the roleA 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 youThis 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 www.ucl.ac.uk/arc If you have any queries regarding the vacancy or application process, please contact Jodie Jackson via What we offerAs 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)This post is eligible for USS Pension Schemedefined benefit schemestaff contribute 6.1% and UCL will contribute 14.6%Life insurance is included (3x salary)Cycle to work scheme and season ticket loanOn-Site nurseryOn-site gymEnhanced maternity, paternity and adoption payEmployee assistance programmeDiscounted medical insuranceVisit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more.Our commitment to Equality, Diversity and InclusionAs London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/We will consider applications to work on a part-time, flexible and job share basis wherever possible.Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department.