AI, Computer Vision & Digital Twin Engineer (KTP Associate)

University of Derby; East Midlands; On-site; GBP 42,000 - 64,000; Full time

Job summary

University of Derby seeks a talented engineer to lead the design, development and deployment of an AI-enabled Digital Twin platform for intelligent asset management in energy and utility infrastructure.

You will integrate BIM, LiDAR, point cloud and sensor data to deliver automated inspection, anomaly detection and predictive maintenance in live environments. Strong Python/SQL data pipelines and end-to-end ownership are essential.

Qualifications

• Experience delivering end-to-end AI and data-driven solutions in real-world environments.
• Developing Digital Twin and simulation-based systems using multi-source data (BIM, LiDAR, point cloud).
• Strong Python and SQL to build scalable data pipelines and validate data.

Responsibilities

• Lead design, development and deployment of an AI-enabled Digital Twin platform.
• Integrate multi-source data and deploy solutions in live engineering environments.
• Own end-to-end system lifecycle from data ingestion to processing and validation.

Skills

Python

SQL

Data pipelines

AI

Digital Twin

BIM

LiDAR

Education

PhD or MSc in CS/Engineering

Tools

BIM

LiDAR

Job description

Contract Type: Fixed Term for 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

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 work at the interface of research and industry, translating advanced AI, computer vision, and data-driven methods into scalable solutions deployed within live engineering environments.

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: Friday 30th October 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. KTP is one of the UK’s largest graduate recruitment programmes and has been placing graduates on challenging, high profile projects for 50 years. In addition to a competitive salary and core KTP development training, you will have a dedicated budget of £4,000 further training and career development. 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. In this role, 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.

Key Contact

For further information and informal enquiries regarding the role, please contact Dr Oluwarotimi W. Samuel, Senior Lecturer in Computer Science via , or Dr Mojisola Grace Asogbon, Lecturer in Data Science via

For enquiries regarding your application and for sponsorship eligibility, please contact the recruitment team via

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.