Lecturer in Data Engineering

UWE Bristol’s School of Computing and Creative Technologies is rapidly expanding, with around 130 academic staff and over 2,500 undergraduate and postgraduate students. Our state-of-the-art programmes cover a wide range of computing disciplines, and we also support a growing and successful body of research.

We currently offer an MSc in Data Science, delivered both on campus and online, together with a BSc in Data Science and a BSc Data Science and Artificial Intelligence top-up degree. We also have active PhD students in this area.

About you

You should have a PhD in Data Science, Computer Science, or a closely related discipline, or substantial professional/industry experience that is equivalent. Knowledge and expertise in one or more areas relevant to data science is essential, including but not limited to:

• (Expectedly) Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems applied in some specialised domain.
• Modern data infrastructure for AI, such as vector databases and other emerging solutions designed to support machine learning workflows.
• Cloud-based AI engineering, including experience such as AWS or Azure, and CI/CD pipelines for model deployment.

The primary focus of this role will be teaching and the development of teaching practice within the field, and we will expect you to support teaching on our programmes, although you will be encouraged and supported in your research ambitions.

Where is this role based?

This post is based at our lively Frenchay campus where we have invested in the latest facilities and resources to give both our staff and students access to everything they need to succeed.

Why UWE Bristol?

We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe. Based in vibrant Bristol, our ambitions are to make a positive difference to our planet, transforming futures through actions and solving real world challenges.

We offer a wide range of employee benefits including progressive pay rates, very generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training and personal development.

We also provide a tailored professional programme to support our academic colleagues in delivering the highest in professional teaching standards.

We particularly encourage applications from global majority female candidates as we are currently under-represented in this area, however all appointments are made strictly on individual merit.

As a Disability Confident employer we welcome applications from those who identify as having a disability.

Further information

If you would like to speak to us to find out more about this role please contact Rachel Long (Rachel2.Long@uwe.ac.uk) or Kevin Golden (Kevin.Golden@uwe.ac.uk).

This is a full-time, permanent post.

This post is available on a job share basis for applicants wishing to work part time.

This role is campus based with some opportunity to work from remote/home working.

To ensure fairness and equity all salary offers will be made in line with the University's salary assessment guidelines and will be based on your relevant skills and experience.

The University has a legal responsibility to ensure that all employees are eligible to work in the UK. You will therefore be required to provide evidence of this right, please refer to the Home Office Right to Work Checklist for information on which documents are acceptable.

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