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You will be updated with latest job alerts via emailWe are building a data and modelling platform that makes energy systems analysis auditable accessible and reproducible. Our platform is the entry point to all of our data and analysis including satellite-derived greenhouse gas emissions intelligence forecast and weather data and our energy systems modelling capability. Users can self-serve data and develop actionable insights through a browser-based interface API and Python client library.
The Software Optimisation Engineer ensures TransitionZeros energy modelling services are robust scalable and production-ready enabling decision-makers to trust and act on our insights. By optimising energy system models for performance and reliability and embedding best practices in software engineering this role directly supports our mission to make energy analysis auditable accessible and reproducible. Their work turns complex models into reliable services that power better investment and policy decisions for the energy transition.
Build and maintain backend services that expose energy modelling capabilities through documented APIs (OpenAPI 3.1).
Develop production-grade software with CI/CD pipelines testing observability and containerisation.
Implement and tune capacity expansion and dispatch models.
Optimise algorithmic performance (runtime memory usage solver convergence).
Ensure scalability from small exploratory runs to national and regional-scale simulations.
Select and apply the most appropriate optimisation techniques using exact methods such as linear and mixed-integer programming where tractable and heuristics or metaheuristics to approximate or accelerate solutions when problems become too large or complex for exact solvers.
Collaborate with analysts to ensure models capture actual system operation and market dynamics.
Work with engineers on data ingestion cloud execution and delivering results to the platform front-end.
Ensure modelling workflows are robust scalable and responsive providing predictable performance under varying workloads.
Contribute to TransitionZeros platform vision of delivering modelling as-a-service enabling decision-makers to integrate modelling into their workflows.
A software engineer with optimisation expertise. You care about production readiness and algorithmic efficiency.
Deeply interested in energy system modelling and skilled in making models robust scalable and performant.
Curious collaborative and proactive - you thrive in multidisciplinary teams.
Adaptable and open-minded - you are comfortable trying new approaches including AI tools to improve workflows.
Have a continuous improvement mindset - you reflect on how things can be done better and act to raise quality efficiency and impact.
Strong programming skills in Python with experience delivering production-quality software.
3 years experience in energy systems modelling (capacity expansion and dispatch).
Proven experience with PyPSA; familiarity with OSeMOSYS TIMES/MARKAL or MESSAGE is a plus.
Proven experience with optimisation solvers (e.g. Gurobi HiGHS etc.).
Deep understanding of linear and mixed-integer programming plus experience optimising algorithmic performance.
Familiarity with CI/CD pipelines testing frameworks Git workflows observability and containerisation (Docker).
Ability to design services that are responsive resilient elastic and message-driven.
MSc or PhD in a relevant STEM field (energy systems applied mathematics computer science).
Experience with heuristics/metaheuristics or ML-based optimisation.
Knowledge of geospatial data handling (GeoPandas Uber H3).
Experience with strongly typed languages (Java Kotlin Go C) for performance-critical optimisation code.
Experience running large-scale models on cloud or HPC infrastructure.
If you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation please contact our People Team () for an informal chat. We will make every effort to respond to your request for assistance as soon as possible.
Full-Time