ML/AI, Computer Vision Engineer - KTP Associate

University of Portsmouth; Three Rivers; Hybrid; GBP 32,000 - 42,000; Full time

Job summary

The University of Portsmouth, in collaboration with ABL 1 Touch, invites applications for a ML/AI and Computer Vision Engineer as a Knowledge Transfer Partnership Associate. You will join an established team to develop AI-powered solutions that automate vehicle damage assessment and enhance operational decision-making.

The role is based at ABL 1 Touch in Reigate with hybrid working arrangements possible. The appointment is a 22-month fixed-term contract, with relocation not supported.

Qualifications

• Experience in ML and computer vision to build AI-driven solutions.
• Ability to collaborate in a multi-disciplinary KTP project.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop and deploy AI-powered solutions for vehicle damage assessment.
• Collaborate with ABL 1 Touch and University of Portsmouth teams.
• Contribute to research, data processing, and system integration.

Skills

Machine learning

Computer vision

AI

Tools

Python

OpenCV

TensorFlow

Job description

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.

Proud member of the Disability Confident employer scheme

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

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.

Proud member of the Disability Confident employer scheme

About Disability Confident

Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.