Research, Development & Innovation Project Leader (KTP Associate)

We are looking for a candidate who has an honours degree (preferably at the 2:1 level or above) in Data Science, Artificial Intelligence, Computer Science, Electronics, Mechatronics or similar. A Masters is welcome.

Key requirements

• 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.

The Associate will be a target/data-driven, self-motivated, team player with good interpersonal skills, and proactive in solving problems. The demanding nature and range of work involved will require the candidate to be flexible, well-organised, and eager to learn new skills.

The Associate will proactively lead on the following aspects of the project:

• Manage software design, development, and deployment the reporting platform to the required specifications.
• Identify, collect, characterise, collate, and analyse project-relevant data.
• Willingness to learn new concepts and engage with them proactively and constructively
• Engage with Veracity Healthcare employees for technology development.
• Work with multiple departments and specialisms to facilitate knowledge transfer between the University of Hull and Veracity Healthcare.
• Prepare and present progress reports at Local Management Committee (LMC) meetings and other project-related meetings.
• Undertake generic and bespoke training aspects of the Knowledge Transfer Partnership (KTP) scheme, CPD.
• Design and test voice-to-text systems that are robust to different accents and noisy environments.
• Develop and integrate multimodal AI solutions, including handling of text, voice, and image data in incident reporting.
• Implement and evaluate Retrieval-Augmented Generation (RAG) for safe report generation and information retrieval.
• Work with carers to co-design chatbot-based smart forms and ensure usability in real care settings.
• Support development of dashboards and analytics for managers, including predictive insights (for example, falls risk).
• Ensure responsible AI principles are followed, including explainability, uncertainty handling, fairness, GDPR compliance, and safety evaluation.
• Contribute to preparing documentation and evidence for regulatory standards such as CQC and the NHS Data Security and Protection Toolkit.

The candidate should be able to organise their own time effectively and independently to prescribed timescales and objectives.

They should be able to express themselves both clearly and articulately in both verbal and written forms.

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.

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.