AI Systems Engineer (KTP Associate)

The KTP Associate will:

• Work with stakeholders, including NAC senior leaders, technical multi-disciplinary scientists, commercial, sales, marketing teams, clients and academic experts, developing networks across the business and understanding of project needs and deliverables.
• Determine technical scope, objectives, specifications, and opportunities for technology advancement.
• Explore state-of-the-art technology in agentic LLMs.
• Develop a system for automating the process of producing quotations for building/ servicing/ repairing large scale climate control systems.
• Conduct experiments, testing, and evaluation for the developed system for commercial trials and measure its impact.
• Document work regularly, ensuring knowledge and outcomes are transferred to other team members at NAC, embedding, recording, creating a repository throughout the project.
• Write reports and presentations, sharing these as project updates at supervision meetings, LMCs, advisory panel meetings, and other necessary forms of engagement and dissemination.

Job Duties

• Carry out the KTP project tasks and deliver the outcomes as outlined in the project workplan.
• Manage the project and disseminate key deliverables/findings to the project team and key stakeholders, to facilitate commercialization of the product.
• Undertake KTP management training, as well as personal development training and courses as deemed necessary.
• Prepare research papers for publication in journals/conferences, in line with the expected scholarly activities of the University Research Staff, and in accordance with the commercial sensitivity of collaborating companies.
• Assist with the capture of intellectual property.
• Travel to Company business partners within the UK and possibly overseas, when necessary.
• To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post.

The KTP Associate will have:

• Experience in developing solutions using AI and LLMs
• Experience in Algorithm development and software engineering
• Experience in Design and documentation of software architecture and application workflow
• Hold PhD (or be near completion) or MSc in Computer Science or closely allied disciplines

This is a 24-month Knowledge Transfer Partnership (KTP) project between Loughborough University and Nationwide Air Conditioning, funded by UKRI Innovate UK.

The project is to develop an AI-powered system that automates the generation of service and project quotes based on defect inputs, and real-time supply chain performance, embedding decision-making algorithms and learning mechanisms into business operations, whilst moving away from manual and repetitive tasks, and toward automation grounded in historical data and real-time inputs. The project will create a market-ready AI product capable of reducing quotation turnaround from days to minutes.

This is an exciting opportunity for a forward-thinking and ambitious specialist in computer vision and machine learning to join a company that specialises in providing HVAC Solutions to Clients. Working with Clients from the biggest retail, hospitality, commercial and leisure sectors in the UK, you will be joining a company that offers 24/7 service, enhancing environments and providing optimal performance.