ML/AI, Computer Vision Engineer - KTP Associate

University of Portsmouth; Portsmouth; Hybrid; GBP 34,000 - 42,000; Full time

Benefits offered by this job

Competitive salary + £2000 pa dev. bud

Staff discounts and loyalty schemes

20 days annual leave + BH

Job summary

The University of Portsmouth is inviting applications for a ML/AI, Computer Vision Engineer - KTP Associate to work on a strategic AI project with ABL 1 Touch. The role focuses on developing and deploying AI-powered solutions for automated vehicle damage assessment and repair scheduling optimization, within a knowledge transfer partnership.

Preference may be given to candidates with UK right-to-work and availability to start quickly.

Qualifications

• Strong foundation in AI and software development, with experience in LLM development.
• Experience applying AI/vision to industrial or business contexts.

Responsibilities

• Develop and deploy AI-powered solutions for automated vehicle damage assessment.
• Collaborate with ABL 1 Touch and Portsmouth experts to deliver AI-driven solutions.
• Demonstrate leadership and project management skills in a KTP setting.

Skills

AI

LLM development

Computer vision

Job description

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

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.

Job details

Salary £38,000 Contractual hours 37.5 Basis Full-Time Job category/type Fixed Term - Full-Time Job reference REC00005526 Attachments attachment Recruitment Process Timeline.pdf attachment REC00005526 - ML AI Computer Vision Engineer KTP Associate - Job Description.pdf attachment GUIDEBOOK_KTP_Associate_Information_Pack.pdf

Job description

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 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.

If you have any queries regarding this position, please contact [e-mail] .

Please refer to further information attached at the top of this advert.

Discover the advantages of joining our university. We offer a range of attractive benefits and opportunities to enhance your work experience:

• Competitive salary plus £2000 pa development budget
• Generous pension scheme.
• Staff discounts and loyalty schemes.
• 20 days annual leave (plus Bank Holidays)
• Staff car parking and discounted public travel.
• Excellent in-house training and development opportunities.
• Staff wellbeing programmes.
• Recreation facilities, including discounted gym membership, food on campus schemes, use of the Library and staff social activities.
• Discounted learning.
• The perks don’t stop there

UKVI StatementPrior to submitting your application, kindly ensure that you can either demonstrate or acquire the necessary right to work in the UK. If you currently do not possess the right to work in the UK, please be aware that our offer of employment is conditional upon you obtaining it.

ED&I StatementWe are committed to upholding the University’s values of being ambitious, open and responsible, in an inclusive working environment that promotes dignity and respect.Please note that this vacancy may be closed earlier than advertised, so early applications are advised.

University House, Winston Churchill Ave, Portsmouth PO1 2UP