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

EDU Passport LLC; East Midlands; On-site; GBP 65,000 - 95,000; Full time

Job summary

EDU Passport LLC seeks a leader to design, develop, and deploy a practical AI-enabled Digital Twin platform for asset management in energy and utility networks, translating advances in AI, computer vision, and data-driven methods into scalable live solutions.

You will own the end-to-end lifecycle, integrating BIM, LiDAR, point clouds, and operational data to enable automated inspection, anomaly detection, and predictive maintenance.

Qualifications

• Experience leading AI-enabled platform projects.
• Strong background in AI, computer vision and data-driven methods.

Responsibilities

• Lead design, development and deployment of an AI-enabled Digital Twin platform.
• Integrate BIM, LiDAR, point clouds and operational data.
• Own end-to-end system lifecycle for live engineering environments.

Skills

AI/ML & CV

Data integration

Tools

BIM

LiDAR processing

Job description

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Job Location

Job Description

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.

About the Company

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