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Automation engineer (ktp associate)

Loughborough
Ziprecruiter
Automation engineer
Posted: 23h ago
Offer description

Overview

Job Title: Automation Engineer (KTP Associate)

Project: 24 months (full time) Knowledge Transfer Partnership (KTP) between Loughborough University and Keystone Lintels Ltd, funded by UKRI Innovate UK.

Location: Swadlincote, Derbyshire (with periodic visits to additional engineering sites and Loughborough University)

Salary: £35,000 - £38,000 per annum (Starting salary to be confirmed on offer of appointment), plus £2,000 per annum training budget

Application closing date: 12 October 2025; Date posted: 19 Sep 2025

Start date: Aims to start no later than 01 April 2026. This job is applicable for applying for a Global Talent visa (if needed).

Client/Partner organisations: Keystone Lintels Ltd; School of Science (Department of Computer Science); School of Architecture, Building and Civil Engineering. Project supported by Keystone Lintels and Loughborough University.

Keywords: Artificial Intelligence, Engineering, Organisational Workflow

Project objective: 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 and serves as a template for rollout of new technologies within the wider company.

Context: This is a 24-month Knowledge Transfer Partnership (KTP) between Loughborough University and Keystone Lintels, funded by UKRI Innovate UK. The Associate will join a company that provides lintels to residential and commercial markets.

Role focus: Develop impactful, new and modified work processes designed to leverage cutting edge AI technologies to increase efficiency within quotation and engineering design teams, reduce manufacturing waste through error reduction, and reduce time taken to fulfil orders.

Supervision: 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). The Associate will be supported by the company’s technical team and experts at Loughborough University.

Work location: Primarily based in Swadlincote, Derbyshire, with periodic visits to other engineering sites and Loughborough University.

EEO/Legal: Includes information about the collaboration and progression. See the full Job Description and Person Specification for details.


Responsibilities

* Develop and deploy AI-enabled workflows within the Keystone Lintels engineering team to improve information flow and decision making.
* Increase efficiency in quotation and engineering design processes.
* Reduce manufacturing waste through error reduction and improved process control.
* Reduce the time required to fulfil orders by optimising workflows and automation.
* Collaborate closely with Keystone Lintels’ technical team and university staff; receive supervision from academic leads.
* Work across site locations with periodic university liaison and site visits as required.


Qualifications/Experience

* Forward-thinking and ambitious machine learning specialist or equivalent experience in AI/ML applied to engineering or manufacturing contexts.
* Experience with deploying AI/ML solutions in industrial workflows is desirable.
* Good communication and collaboration skills to work with cross-functional teams and academic supervisors.
* Eligibility for UKRI KTP program and related visa considerations as applicable.


How to apply

Informal enquiries should be directed to the Lead Academic, Dr Russell Lock, at r.lock@lboro.ac.uk. Applications: closing date 12 October 2025. Online interviews w/c 27 October 2025. Presentation & interview w/c 10 November 2025.

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