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

- **Company:** Saith Ltd
- **Location:** Derby, UK
- **Salary:** £36,600.0
- **Contract:** Permanent contract
- **Skills:** 3D Scanning, Artificial Intelligence, Computer Vision, Building Information Modeling, Python (Programming Language), Machine Learning, SQL Databases, Systems Integration, KTP, Digital Twin, Data Analytics, Lidar, Data Pipelines
- **Published:** September 29, 2026
- **Apply:** https://www.jobs.service.gov.uk/jobs/6abbb8c19bca8044f63ccafe/apply

## About the Role

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. You'll also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification, segmentation, and anomaly detection, to solve complex, real-world challenges.

You will work both independently and as part of multidisciplinary teams, bringing a practical, solutions-focused mindset. Strong communication skills are essential, with the ability to clearly present complex technical concepts to both technical and non-technical stakeholders., 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.

## Description

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 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. Crucially, you will ensure that solutions are commercially viable, aligned with client requirements, and deliver measurable operational value.

Working closely with design, construction, and operational teams, you will contribute directly to live engineering projects, ensuring solutions are effectively integrated, validated, and deliver real-world impact. The role will also support the adoption of AI and Digital Twin technologies within Saith through training, knowledge transfer, and integration into operational workflows.

Using your knowledge and skills to support the business and achieve specific project aims, you will receive on-going support by a Supervisor at Saith Ltd, an Academic Supervisor and Academic Lead from the University of Derby to help you deliver. A personal training and development budget will also be available for you to access, as well as receiving access to the same training opportunities and facilities as University staff.


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