ML/AI, Computer Vision Engineer - KTP Associate


Company:	University of Portsmouth
Hours:	Full-time
Location:	PO1 3HE
Working pattern:	On-site
Job type:	Contract
Posting date:	16 Oct 2026
Closing date:	30 Oct 2026

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Summary

This role forms part of a Knowledge Transfer Partnership (KTP), a collaborative project between ABL 1 Touch and the University of Portsmouth, awarded by Innovate UK. Please refer to the additional information on becoming a KTP Associate attached to this advert.

The project is developing AI-powered solutions that combine machine learning and computer vision to automate vehicle damage assessment and enhance operational decision-making. By leveraging ABL's extensive repair data and technical expertise, the project aims to improve estimation accuracy, increase efficiency, and support the company's continued growth.

The project is already underway, and the successful candidate will join an established team to further develop and deploy AI-driven solutions within the business.

Company Information and Location:

ABL 1 Touch is a UK-based automotive accident repair company, known for its tech-enabled, sustainable "repair over replace" approach. Founded over 25 years ago, it expanded to 24 sites by 2023. Backed by private equity, it serves major insurers and has grown rapidly, earning recognition for innovation and environmental practices.

This position will be based at ABL 1 Touch, Floor 2 Reigate Place, 43 London Road, Reigate, Surrey, England, RH2 9PW. However, hybrid working arrangements can be discussed.

Candidates should be aware that relocation expenses are not supported as part of this role.

The technical interviews are currently anticipated to be held on 9 and 10 November 2026, and the skills interviews will be held on 13 November 2026.

This appointment is a 22 months fixed-term contract.

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