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Supply Chain Digital Engineer; FTE

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Kaiba
Part Time position
Listed on 2025-12-21
Job specializations:
  • Engineering
    AI Engineer, Data Science Manager, Systems Engineer
Job Description & How to Apply Below
Position: Supply Chain Digital Engineer (0.6 FTE)

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‑month 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.

Responsibilities
  • 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
Qualifications
  • 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, Mongo

    DB (or equivalent), JSON/XML
  • Strong analytical and problem‑solving skills
  • 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)
  • 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

Submit a CV and brief cover letter or direct enquiries to or .

For full role details, visit .

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