Company: Axle Energy
Location: London
Posted: April 17th, 2026
We’re hiring data scientists who get into the weeds, ship delightful software, and want to step into the arena in the fight against climate change. We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world (TechCrunch). We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when they'll need it. We control tens of thousands of energy assets, and we’re growing quickly.
Read More About What We’re Building Here.
We do everything in Python, because it allows data scientists and engineers to collaborate closely and move quickly. Our data scientists write lots of production code. We ❤️ Streamlit.
We try a bunch of things in Figma before we build them in code, because it's a fast and cheap way to get feedback.
Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.
☁️ We deploy on GCP
A meaningful slice of equity in Axle, alongside a competitive salary. We operate with a deliberately flat structure. We aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.
The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.
Bi-annual retreats to strengthen team connection & shared purpose.
Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office.
We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.