"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.

Ideally, you’ll have substantial professional/industry experience or a PhD in Data Science, Computer Science, or closely related disciplines with industry-relevant research data skills and/or ongoing industry collaboration. Knowledge and expertise in one or more areas relevant to data engineering science is essential, including but not limited to:

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

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

In this role, you’ll be based at our modern Frenchay Campus where we’ve invested in state-of-the-art facilities designed to help both staff and students succeed.

You’ll spend most of your time on campus, although you may have the opportunity to work from home occasionally.

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.

To discuss this role please contact Rachel2.Long@uwe.ac.uk or Kevin.Golden@uwe.ac.uk.

This is a full-time, permanent post.

This post is available on a job share basis.

Salary offers are made in line with the University’s salary assessment guidelines, reflecting your relevant skills and experience in parity with colleagues.