ABOUT US

UCL is a world-leading teaching and research university, often ranked in the top ten in the world with an annual turnover of well over £1 billion. Part of UCL’s vision is to take on the hardest global challenges.
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 describe our research professionals within four groupings – Research Software Developers, Research Infrastructure Developers, Research Data Stewards, and Research Data Scientists – knowing that these are fluid categories, and welcome those who cross the boundaries between these. This post will sit primarily within the Research Data Scientist job family.
Research Data Scientist are also known as Data Scientist, Machine Learning Specialist, Computational Statistician, Data Wrangler, Bioinformatician, etc., and you may agree with your line manager to modify your job title to reflect your career aspirations.

ABOUT YOU

As the ideal candidate you will have a strong mix of the following skills and experience:

• PhD Degree OR equivalent professional expertise appropriate to the role. This is a role in a research community and we are great believers in the value of research degrees. However, we are also very committed to building a diverse community, with important differences from traditional academia. A PhD is by no means the only way to gain experience of contributing to research through technology. About half our current staff have PhDs.
• Experience with the core tools of data science and analytics, in a programmatic framework such as R, Python, or Julia.
• Experience with LLMs and DevOps
• Advanced knowledge of statistics and mathematics applied to acquiring reliable insight from data.
• Experience with at least one specialist technique or tool in data analytics, such as natural language processing, neural networks, Bayesian inference, Gaussian processes, or techniques associated with a particular research field such as bioinformatics tools.

Salary range for grade 8 Senior Research Software Engineer is £51,474 to £65,698 including London Allowance depending on experience. USS pension Scheme offers staff contribute 6.1% and UCL will contribute 14.6%
The job description and person specification for this post can be downloaded from the link at the bottom of this page.

ABOUT THE ROLE

You will be part of ARC’s community of staff scientists and research technology professionals, both delivering the services and systems which make data and compute-intensive research possible, and discovering and innovating new tools, practices, and systems in this field.
For this post, we would like to hear from applicants with expertise in LLMs and DevOps.
Our positioning as a hybrid of a research institute and service centre means these activities will be synergistic and you will play a key role in developing and maintain technical or domain specialisms. This could mean building on your background to remain close to the research life of one or more of the academic disciplines we collaborate with (e.g. via honorary membership of an academic department) or engaging closely with the technology professional communities related to a platform, tool, or language that you focus on.
Alongside a hugely talented team, you will help to define a portfolio of responsibilities, a mixture of service delivery, research, innovation, and teaching activities according to your own preferences and skills, and appropriate to your level of seniority.
A fantastic opportunity!

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

• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insuranc