ML​/AI, Computer Vision Engineer - KTP Associate

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Job profile for ML/AI, Computer Vision Engineer - KTP Associate

Portsmouth 30/10/2026 ML/AI, Computer Vision Engineer - KTP Associate

The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included.

Salary £38,000 Contractual hours 37.5 Basis Full-Time Job category/type Fixed Term
- Full-Time Job reference REC Attachments attachment Recruitment Process  attachment REC - ML AI Computer Vision Engineer KTP Associate
- Job  attachment

The University of Portsmouth is a global employer of choice where exceptional people create, share and apply knowledge that makes a difference.

Experience the pride of being part of a select group – one of only four universities in the south-east of England to achieve a prestigious Gold rating in the Teaching Excellence Framework. Additionally, we proudly rank among the top 140 universities globally in the Times Higher Young University World Rankings.

Ambition, Responsibility and Openness drive our every endeavour. Join our esteemed institution with a proven track record of success, and where dedication to excellence is key. We want people to make their mark in a professional community that truly values people, innovation, and achievement.

The Role:

The Faculty of Technology at the University of Portsmouth, in collaboration with ABL 1 Touch, is seeking an innovative and motivated individual to join a strategically important Knowledge Transfer Partnership (KTP) project focused on developing and deploying AI-powered solutions for automated vehicle damage assessment and repair scheduling optimisation.
Due to the project timescales, preference may be given to candidates who already have the right to work in the UK and are available to commence the role at short notice.

This is an exciting opportunity for a candidate with a strong foundation in AI and software development, particularly LLM development experience, who is keen to apply innovative technologies within a commercial environment while developing leadership and project management skills.

Working closely with ABL's technical team and academic experts from the University of Portsmouth, you will further develop and deploy AI solutions for automated vehicle damage assessment, helping to deliver a strategically important innovation project with real business impact.

The successful candidate will be highly motivated and able to demonstrate previous experience in a relevant role.

The Project:

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…