FEM, Design & AI/ML Optimisation Engineer (KTP Associate)

EDU Passport LLC; East Midlands; On-site; GBP 35,000 - 55,000; Full time

Job summary

James Engineering seeks a talented engineer to lead the development of JEMD, a platform combining Eurocode-compliant design, advanced numerical modelling, and AI/ML-driven optimisation for chimneys and inlet reinforcement systems.

You will work with University of Derby and James Engineering engineers, applying Finite Element Method (FEM) and data-driven techniques to build a simulation-led design capability for industrial chimney systems.

Qualifications

• Experience with Finite Element Method (FEM) and data-driven optimization.

Responsibilities

• Lead the development of the JEMD software platform, integrating Eurocode-compliant design, FEM, and AI/ML-driven optimisation.
• Collaborate with academic partners from the University of Derby, James Engineering, and specialist software developers to apply FEM and data-driven optimisation.
• Establish a simulation-led design capability for industrial chimney systems.

Job description

Job Description

About the Role In this role, you will lead the development of James Engineering Modelling Design (JEMD), an innovative software platform that integrates Eurocode-compliant design, advanced numerical modelling, and AI/ML-driven optimisation to transform the design of industrial chimneys and inlet reinforcement systems for both traditional and emerging clean-energy sectors.

Working closely with academic experts from the University of Derby, engineers at James Engineering, and specialist software developers, you will develop and apply advanced Finite Element Method (FEM) and data-driven optimisation techniques to establish a simulation-led design capability for industrial chimney systems. date: w/c 26th 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.