Lecturer in Data Engineering

University West of England; West of England; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A UK higher education institution is seeking a full-time lecturer in Data Science. This position requires a PhD in Data Science or a related field and involves teaching on various undergraduate and postgraduate programmes. Candidates should have strong knowledge in areas like Large Language Models, modern data infrastructure, and cloud-based AI solutions. The role is based on the vibrant Frenchay campus, providing an opportunity to engage with a diverse student community while pursuing personal research goals.

Benefits

Generous annual leave

Career average pension schemes

Retail savings

Onsite nursery

Opportunities for training and personal development

Qualifications

• PhD in Data Science, Computer Science, or closely related discipline required.
• Substantial professional experience in data science can be accepted.
• Knowledge in AI data infrastructure and cloud engineering is essential.

Responsibilities

• Teaching and developing teaching practices in Data Science.
• Supporting teaching on MSc and BSc programs.
• Encouraging and supporting personal research ambitions.

Skills

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Modern data infrastructure

Cloud-based AI engineering

AWS or Azure experience

CI/CD pipelines

Education

PhD in Data Science or related discipline

Job description

Overview

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:

• 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.

Location

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.

Diversity and inclusion

Add your individuality to ours UWE Bristol recognises the power of a truly diverse university community. We are proud to be part of a dynamic, multicultural city that celebrates diversity, we’re always looking for talented people from all backgrounds to join us. Our people are our strength, and diversity enhances our creativity and leads to better decision-making and problem-solving. Bring your talent and ambition to our stimulating and supportive community where we’ll help you thrive.

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 ([e-mail]) or Kevin Golden ([e-mail]).

This is a full-time, permanent post.

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

UWE Bristol is a campus-based University and it is vital to our success and the delivery of an outstanding experience for our students that our campuses are dynamic and vibrant places to learn and spend time. This role is therefore 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.