Automation Engineer (KTP Associate)

School of Science (Department of Computer Science), School of Architecture, Building and Civil Engineering & Keystone Lintels Ltd

Period: 24 months (full time)

Due to the nature of the funding, the employment aims to start no later than 01 April 2026. This job is applicable for applying for a Global Talent visa (if needed). 

Key words: Artificial Intelligence, Engineering, Organisational Workflow

Project Title: To develop, integrate and deploy transformational AI enabled workflows within the Keystone Lintels engineering team, supporting resilient, agile information flows and decision making to deliver business growth. The project develops new R&D capabilities within Keystone Lintels and acts as a template for the rollout of new technologies within the wider company.

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

This is an exciting opportunity for a forward-thinking and ambitious machine learning specialist to join a company that specialises in providing Lintels to the residential and commercial markets. Working with one of the biggest Lintel suppliers in the UK, you will be joining a company that finds ways to help make services to customers better, faster and more accessible for everyone.

This job role focuses on developing impactful, new, and modified work processes designed to leverage cutting edge AI technologies, to increase efficiency within the quotation and engineering design teams, reduce manufacturing waste through error reduction, and reduce time taken to fulfil orders.

The Associate will work closely with and be supported by the company’s technical team and experts at Loughborough University, throughout the project. The Associate will be supervised by an academic team, led by Dr Russell Lock (School of Science, Department of Computer Science) and Prof Sergio Cavalaro (School of Architecture, Building and Civil Engineering). KTPs aim to help businesses improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Bases. 

The Associate will be primarily based in Swadlincote Derbyshire, with periodic visits to additional engineering sites and Loughborough University.

For more information refer to the full Job Description and Person Specification. 

Informal Enquiries

Informal enquiries should be made to the Lead Academic, Dr Russell Lock, r.lock@lboro.ac.uk.

Applications

The closing date for receipt of applications: 12th October 2025

The online interview stage will take place w/c 27th October 2025.

The presentation & interview stage will take place w/c 10th November 2025

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