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Job Description

EnDAI – Environmental Diagnostic AI | Kaiba

Kaiba is a technology spinout from the University of Strathclyde, developing AI-driven tools to support sustainable, data-led decision-making in manufacturing and supply chains.

We are recruiting a Supply Chain Digital Engineer to support the development of EnDAI , an Environmental Diagnostic AI platform funded by a 13 months Grant. EnDAI enables OEMs and manufacturers to quantify and reduce environmental impact - particularly Scope 3 emissions - across metal manufacturing supply chains using engineering and process data rather than traditional financial-based approaches.

This role offers the opportunity to work on applied industrial AI at the intersection of manufacturing, data, and sustainability, in collaboration with the University of Strathclyde and a Fortune-500 industrial partner.

Contribute to the development of EnDAI’s digital architecture and environmental estimation models

Translate product, process, and supply-chain data into structured digital formats

Develop algorithms to estimate Scope 1, 2 and 3 CO₂ emissions across manufacturing and logistics

Support the development of a recommendation engine identifying lower-impact technology and supply-chain options

Analyse real industrial datasets and support case-study testing

Produce technical documentation aligned with grant and project milestones

Your skill set - What we are looking for

Essential

MSc, MEng, PhD or equivalent experience in engineering or computer science

Experience delivering technical or engineering projects in industry or research

Understanding of manufacturing processes and engineering drawings

Python, MongoDB (or equivalent), JSON/XML

Strong analytical and problem-solving skills

Desirable

Object-oriented programming

Optimisation or meta-heuristic methods (e.g. genetic algorithms)

Probabilistic or sustainability modelling experience

Contract & Location

Fixed-term to 14 February 2026

0.6 FTE (three days per week or equivalent)

Salary: £39,000 pro rata

Hybrid working (remote with approx. one day per week at the University of Strathclyde)

Fully remote arrangements may be considered

Visa sponsorship is not available. Priority may be given to candidates with immediate availability.



Application

To apply please submit a CV and brief cover letter or direct enquiries to:

fraser@kaiba.co.uk or daniele@kaiba.co.uk

Closing date - 07/01/2026 . Interviews will be arranged w/c 14/01/2026.

Please check the full role details, available at:

https://www.kaiba.co.uk/careers/

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.