Research, Development & Innovation Project Leader (KTP Associate)

University of Hull

Location:	Kingston upon Hull
Salary:	£38,249 - £38,784 per annum, depending on experience. Plus, a personal development budget of up to £4,000.
Hours:	Full Time
Contract Type:	Fixed-Term/Contract

Placed On:	29th January 2026
Closes:	23rd February 2026
Job Ref:	JR101926

Full time (36.5 hours) fixed term

Closing date: (00:01am) 23rd February 2026

Salary is £38,249 per annum, depending on experience. Plus, a personal development budget of up to £4,000.

An exciting opportunity to work with one of the leading providers of domiciliary care services in the locality on an ambitious and innovative 24-month project developing new ideas, methodologies, and technologies.

Veracity Healthcare is a CQC-registered provider delivering Home Care and Supported Living services across the East Riding of Yorkshire and Supported Living Hull.

The organisation specialises in delivering high-quality, person-centred care for adults with a wide range of complex needs, including physical disabilities, mental health conditions, learning disabilities, and neurological conditions.

This KTP project will develop an affordable, scalable Responsible AI-powered incident reporting and investigation system that is sector-specific, aimed at enhancing patient safety. It will streamline care staff reporting, and improve regulatory compliance, driving timely, data-driven responses to strengthen service quality and operational efficiency in incident management.

The selected applicant will lead the design and delivery of data-driven solutions for a real care setting. You will work with care staff, managers, and academics. You will build and test modern AI systems, evaluate impact, and help embed new capability in the company.

The successful applicant will be required to:

• Plan, prototype, and evaluate AI-enabled software tools.
• Work with text, speech, and images where needed.
• Build data pipelines and simple dashboards for insight.
• Run user studies and translate findings into product changes.
• Apply responsible AI practice and data protection.

This project is a Knowledge Transfer Partnership (KTP) - part of a national, Government-supported initiative, which provides graduates with fast-track career opportunities through work on challenging technical & IT projects (for more information please visit www.ktp-uk.org).

The KTP project will be fully championed with expertise from the University of Hull and Veracity Healthcare.

You will be supported to continue your personal and professional development throughout the project, a £4000 budget is available for this training.

For the right candidate there are excellent prospects for obtaining permanent employment with Veracity at the end of the KTP project.

We are looking for a candidate who has an honours degree (preferably at the 2:1 level or above) in a relevant subject, such as Data Science, Artificial Intelligence, or related discipline. As well as this, you will need:

• Strong knowledge of artificial intelligence (AI), machine learning (ML), and data analysis.
• Technical skills in software development, Large Language Models, software and mobile app development, data analysis.
• Excellent problem-solving skills and a detail-oriented mindset.
• Strong communication skills and the ability to work collaboratively in a multidisciplinary environment.

Desirable skills

• Desirable qualities include experience of working in an industrial environment and solving problems within a healthcare context; and direct experience of working in a Research, Development environment.
• Experience developing LLMs in health or care settings.
• Publications or track record in responsible AI, explainability, safety, or fairness.

You will be primarily based at the company partner’s premises in East Yorkshire and follow their working hours and annual leave allocation.

Previous KTP Associates are not eligible to apply.

Candidates are requested to upload a CV and covering letter. To discuss this role informally, please contact:

Professor Dhaval Thakker D.Thakker@hull.ac.uk or Dr Koorosh Aslansefat k.aslansefat@hull.ac.uk