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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.
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AI, Computer Vision & Digital Twin Engineer (KTP Associate) employer: EDU Passport LLC
Arlesdene Nursery School offers a nurturing environment where passionate educators can thrive. With a strong commitment to professional development and a supportive team culture, we empower our staff to make a meaningful impact on children's lives. Located in the heart of Broxbourne Borough, this is an exceptional opportunity to join an outstanding institution dedicated to fostering both personal and professional growth.
