About this role
Fixed Term 24 Months
At Saith, our people are central to everything we do. We are an independent engineering management consultancy delivering high-quality solutions across the energy and utility sectors. Our teams work collaboratively across project management, design, CDM, and technical assurance.
About the Role
University of Derby’s College of Science and Engineering in partnership with Saith Ltd are offering an exciting career-development opportunity to manage and deliver a challenging strategic Knowledge Transfer Partnership (KTP) project. Based at Saith Ltd’s premises in Hampshire, you will be employed by the University as a KTP Associate but work under the terms and conditions of the company.
You will lead the design, development, and deployment of a practical, production-ready AI-enabled Digital Twin platform to support intelligent asset management within energy and utility infrastructure.
You will take ownership of the end-to-end system lifecycle, integrating multi-source data including BIM, LiDAR, point cloud, and operational datasets to develop solutions for automated inspection, anomaly detection, predictive maintenance, and intelligent decision-support.
Anticipated interview date: 21st July 2026
Knowledge Transfer Partnerships
This full-time post is part-funded by the UK Government’s KTP programme. A KTP is a three-way project between a graduate, an organisation and a university. To find out more about the scheme visit: ktp-uk.org/graduates
Please note by completing an application form for this role, you are giving your consent for us to share your personal data with the KTP partner.
About You
We’re looking for a talented and driven individual with experience delivering end-to-end AI and data-driven solutions in real-world operational environments, with a clear focus on achieving measurable impact. You’ll work on developing Digital Twin and simulation-based systems, leveraging multi-source data such as BIM, LiDAR, point cloud, and sensor data to support prediction, enhance decision-making, and improve operations.
You’ll bring strong experience in building and optimising scalable data pipelines using Python and SQL, managing the full data lifecycle from ingestion through to processing and validation. You’ll also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification and segmentation, to solve complex, real-world challenges.
Key Contact
For further information and informal enquiries regarding the role, please contact Dr Oluwarotimi W. Samuel, Senior Lecturer in Computer Science via [email protected], or Dr Mojisola Grace Asogbon, Lecturer in Data Science via [email protected]
For enquiries regarding your application and for sponsorship eligibility, please contact the recruitment team via [email protected]
Important Information
This role may be eligible for sponsorship by the University.
The offered salary for this role is less than the going rate for the occupation and the minimum salary threshold for the Skilled Worker route (£41,700 per annum, as of 22nd July 2025). Therefore you will only be eligible to apply for a Skilled Worker visa subject to your individual circumstances which must meet one of the following criteria set out by UKVI:
Your job is on the Immigration Skills List You’re under 26, studying or a recent graduate, or in professional training You have a PhD level qualification that’s relevant to your job You have a postdoctoral position in science or higher education
You must also meet the English Language requirement.
Please note that the University will assess your individual eligibility for sponsorship at the shortlisting stage.
For more information, visit our website.
For more information and to apply on-line, please click the “Apply” button above.