IT Infrastructure Lab Engineer

7 days ago

City of London Greater London, United Kingdom UCL Full time

About us The 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. 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. 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. 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. 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 41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days) ~ This post is eligible for USS Pension Scheme ~ Life insurance is included (3x salary) Cycle to work scheme and season ticket loan On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme Discounted medical insurance Our commitment to Equality, Diversity and Inclusion As 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. disabled people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here : We will consider applications to work on a part-time, flexible and job share basis wherever possible.

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