Lead Modelling Software Engineer

Manchester | Office day once every 2 months | Salary to be discussed on qualification + benefits

I'm working with an exciting Tech for Good / Energy Tech business focused on accelerating the transition to low-carbon heating. Their technology is already being used across connected devices, and they're now looking for a Lead Modelling Software Engineer to take ownership of the modelling and optimisation engines behind the platform. This isn't a typical software engineering role.

You will be working where mathematical modelling, physics, software engineering and real-world IoT data come together - building technology with a genuine purpose.

You'll be:

• Building and improving mathematical models around thermal dynamics and heating behaviour
• Developing optimisation algorithms using real-world sensor and telemetry data
• Translating mathematical models and control theory into robust Python software
• Working with weather, energy, tariff and smart meter data to test and validate models
• Building simulation and testing environments
• Improving the reliability and performance of models running across thousands of connected devices
• Taking technical ownership of projects and working closely with the wider engineering team
• Supporting the evolution of the modelling platform, including work moving from Python towards C++

We're looking for someone with strong Python and mathematical modelling experience who enjoys taking complex models and turning them into production-ready software.

You'll ideally have experience with:

• Strong Python
• Num Py, Pandas and Sci Py
• Mathematical modelling, optimisation or numerical methods
• Dynamical systems / control theory
• Model Predictive Control (MPC) would be highly beneficial
• Software engineering best practice, testing and CI/CD
• Working with real-world or physical systems/data
• Technical leadership or ownership of projects

AWS experience would be useful, but isn't essential.

C/C++ experience would also be a bonus, but they're happy to support someone in developing this skill. A Master's or PhD in Mathematics, Physics, Engineering or another highly quantitative discipline would be advantageous, but strong relevant commercial experience is equally important.

This is an opportunity to have genuine ownership over a core piece of technology, working directly with the Head of Engineering, leading technically and managing one engineer while remaining highly hands-on.

If you're interested in Tech for Good, Energy Tech, mathematical modelling, optimisation or building technology with a genuine purpose, I'd love to hear from you.