AI Developer (KTP Associate)

The University of Wolverhampton is seeking an ambitious and innovative MSc or PhD graduate to join a pioneering Knowledge Transfer Partnership (KTP) with DryWall Steel Sections Ltd (DWSS), one of the UK’s leading Light Gauge Steel (LGS) specialists.

This exciting opportunity will suit a candidate with expertise in Artificial Intelligence, Generative AI, Machine Learning and software development who is looking to apply cutting-edge research to real-world industry challenges. Working at the interface of academia and industry, you will lead the development of an innovative AI-powered solution, helping to drive digital transformation and business growth within a leading construction company.

The successful candidate will have experience developing scalable AI and GenAI applications, building web-based solutions, and deploying AI models into operational environments. You will possess strong programming skills, excellent analytical and problem-solving abilities, and the confidence to engage with a range of technical and non-technical stakeholders. Experience of cloud-based technologies, MLOps, large language models and AI model deployment is essential, while knowledge of construction industry workflows would be advantageous.

Alongside technical delivery, the role offers the opportunity to contribute to research outputs, develop commercial awareness and entrepreneurial skills, and gain valuable experience in innovation management through the nationally recognised KTP programme.

Duties and Responsibilities

• Technical Development
• Design, implement, and evaluate AI models to support LGS workflows.
• Build APIs to interface with existing DWSS tools and workflows.
• Implement human-in-the-loop review workflows supporting expert validation and continuous model improvement.
• Produce data dashboards and reporting tools to evidence time savings, efficiency gains, and intervention levels.
• Research, Innovation and Commercialisation
• Apply state-of-the-art research in GenAI, LLMs, and data science to practical construction industry challenges.
• Contribute to academic publications, industry demonstrators, and knowledge dissemination activities.
• Project Management and Stakeholder Engagement
• Plan, monitor, and deliver KTP project milestones on time and within scope.
• Produce progress reports and presentations for senior stakeholders and Innovate UK.

This Knowledge Transfer Partnership (KTP) between the University of Wolverhampton and DryWall Steel Sections Ltd will develop an innovative AI-enabled solution to support digital transformation within the construction sector. By combining advanced AI, Generative AI and software development techniques, the project will create new capabilities that improve efficiency, support decision-making and deliver sustainable business growth. The successful Associate will play a leading role in delivering this innovation while gaining experience across research, technology development and commercialisation.