AI and Digital Twin Engineer (KTP Associate)
Develop AI-driven Digital Twin solutions for energy and utility asset management in a collaborative industry-academia partnership.
Best for:Best for AI and data engineers with experience in scalable data pipelines, Python/SQL development, and deploying AI solutions in industrial settings.
Overview
This fixed-term position at the University of Derby, in collaboration with Saith Consultancy, focuses on designing and deploying AI-enabled Digital Twin platforms for intelligent asset management in energy and utility sectors. The role bridges research and industry, requiring expertise in AI, computer vision, and data-driven systems to create scalable solutions for automated inspection, predictive maintenance, and decision support. The successful candidate will work on integrating multi-source data (BIM, LiDAR, point cloud, sensor data) and contribute to a Knowledge Transfer Partnership (KTP) funded by the UK Government. This opportunity is ideal for graduates or professionals with hands-on experience in AI and data engineering seeking to apply their skills in real-world operational environments.
What you'll do
- Design, develop, and deploy AI-enabled Digital Twin platforms for intelligent asset management in energy and utility sectors.
- Integrate multi-source data (BIM, LiDAR, point cloud, sensor data) into scalable systems for automated inspection and anomaly detection.
- Build and optimize scalable data pipelines using Python and SQL, managing the full data lifecycle from ingestion to validation.
- Collaborate with industry partners to translate advanced AI and computer vision methods into production-ready solutions.
- Support predictive maintenance and intelligent decision-making systems for operational environments.
- Contribute to training and career development activities as part of the KTP programme.
Requirements
Degree required: Bachelor’s degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field. Relevant industry experience may be considered in lieu of a degree.
Language: English; proficiency required for collaboration and documentation.
Instruction: English
- Proven experience in developing AI and data-driven solutions for real-world operational environments.
- Strong proficiency in Python and SQL for building scalable data pipelines.
- Experience with multi-source data integration (e.g., BIM, LiDAR, point cloud, sensor data).
- Familiarity with computer vision techniques and their applications in industrial settings.
- Knowledge of predictive analytics and anomaly detection methodologies.
- Eligibility for Skilled Worker visa if applicable (e.g., job on Immigration Skills List, PhD qualification, or postdoctoral position).
- Must meet UKVI English Language requirements if applying for a Skilled Worker visa.
Funding & terms
How to apply
Deadline: 2026-10-19
Applicants must apply online via the University of Derby’s job portal. Ensure your application includes a CV, cover letter, and any relevant documentation demonstrating your experience in AI, data engineering, and industry applications. The application process may involve an interview scheduled for October 30, 2026.
- CV
- Cover letter
- Proof of degree (if applicable)
- References (if required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.