University of Warwick
Assistant Professor (Teaching Focussed) in Applied Artificial Intelligence (80407-0726)

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About The Role
Informal Queries
For informal queries about the role, please contact Awinder Kaur - Head of Digital Technologies and Machine Intelligence (DTMI) - at Awinder.kaur@warwick.ac.uk
WMG is seeking to appoint an Assistant Professor (Teaching Focussed) with experience in delivering and/or developing modules in Applied Artificial Intelligence, Machine Learning and practice-led digital technologies.
We welcome candidates with strong expertise in areas such as:
- Machine Learning and Deep Learning using PyTorch or TensorFlow
- Computer Vision, Natural Language Processing and Generative AI
- Large Language Models (LLMs), AI Agents and Agentic AI
- Model deployment (MLOps), Explainable AI (XAI) and Responsible AI
- AI for manufacturing, healthcare, business and sustainability
- Data science and intelligent decision-support systems
This role is on the University of Warwick Teaching Career Pathway, providing opportunities for advancement up to and including Professor level. This is an education-focused appointment and we are looking for candidates who can demonstrate experience of teaching in higher education together with a passion for delivering high-quality, practice-led education and achieving excellent student outcomes. As this is a teaching-focused appointment, we are particularly seeking candidates who can demonstrate an established commitment to high-quality teaching and student learning in higher education or professional education settings.
This appointment offers an exciting opportunity to contribute to one of WMG’s fastest-growing postgraduate programmes. The successful candidate will contribute to teaching, module leadership, curriculum development, student supervision and wider educational activities across the Digital Technologies and Machine Intelligence Education Group, helping shape the future of Artificial Intelligence education within WMG.
About You
The successful candidate will contribute to the delivery and development of Applied Artificial Intelligence modules with a strong practical and industry-focused approach.
We are particularly interested in applicants with expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Generative AI, Large Language Models, AI Agents and related AI technologies.
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Experience of applying AI techniques in real-world domains such as manufacturing, healthcare, business, robotics or digital transformation is highly desirable. Experience with modern AI development frameworks, MLOps pipelines, Explainable AI, Responsible AI or cloud-based AI deployment would be advantageous.
The successful candidate will be expected to contribute to module leadership, student project supervision, curriculum enhancement and the continued development of WMG’s Applied Artificial Intelligence education portfolio.
For Assistant Professor appointments, candidates should hold a doctorate (or equivalent professional qualification together with a postgraduate qualification) in Artificial Intelligence, Computer Science, Data Science or a closely related discipline, together with experience of teaching within higher education or professional education.
For details on the experience and skills required, please refer to the job description attached as a PDF below.
About The Department
The Warwick Manufacturing Group (WMG) is the largest department at the University of Warwick, with over 800 staff and nearly 3,000 students across undergraduate and postgraduate programmes in management, technology, and applied engineering.
We are globally recognised for our world-class research, innovative industry partnerships, and teaching excellence, and we are proud holders of the Athena SWAN Silver Award and the Institutional Silver Award.
- Find out more about the High Value Manufacturing Catapult centre.
- Find out more about the Energy Innovation Centre.
- Find out more about our range of undergraduate and apprenticeship degrees here.
About The University
We are a world-leading research-intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK.* Additionally, 92% of our research is rated world-leading or internationally excellent.**
- Find out more about us at warwick.ac.uk/about/.
- World University Ranking 2026, Complete University Guide 2026
- Research Excellence Framework 2021
How to Apply
Closing Deadline: Thursday 23 July 2026 at 11:55pm (UK Time)*
To apply, please click APPLY below and submit an application form by the closing deadline.


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You will be asked to include a CV and Cover Letter. These documents should:
- Outline employment and education history (including your most recent employment).
- Demonstrate how you meet the essential and desirable criteria in the Job Description using clear examples.
Please ensure your application clearly evidences the essential criteria, as the hiring panel may not be able to shortlist your application if these are not demonstrated.**
Interview Date: 18 August 2026
Start Date: To be confirmed
Applications must be submitted through the warwick-careers.tal.net portal before the closing deadline. We recommend completing your application form in good time, as the advert will automatically close at the deadline. You are welcome to include any career breaks, such as parental leave, caring responsibilities, or long-term sickness absence. For guidance on how to format a cover letter, see here.
What we Offer
We Provide a Comprehensive Range Of Benefits, Including
- An attractive pension scheme.
- 30 days holiday plus University Christmas closure.
- Generous parental/adoption leave policy.
- Onsite childcare facilities.
- Excellent learning and development opportunities.
We recognise the importance of a healthy work/life balance and offer access to flexible working arrangements.
Where possible, we offer hybrid working arrangements that combine office-based and remote working. Opportunities for hybrid working will depend on the requirements of the role, business needs of the department and can be discussed during the recruitment process.
For more information, see here.
We are proud to be a Living Wage employer.
Our Commitment to Inclusion
To find out more about our commitments to equality, diversity, and inclusion, please see: Our Commitments | University of Warwick
Job Description
JD - Assistant Professor (Teaching Focused) (80407).pdf – 142KB Opens in a new window
Right to Work in the UK
If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa, please follow this link which contains further information about obtaining the right to work in the UK.
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