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 ( 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!
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, to £65, including London Allowance depending onexperience.USS pension Schemeoffersstaff contribute and UCL will contribute
The job description and person specification for this post can be downloaded from the link at the bottom of this page.
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 (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 insurance
