Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries.
We control hundreds of thousands of energy assets.
We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we’re growing the team to meet customer demand.
We’re proud to be supported by world-leading investors, including Energize Capital and Accel.
Read more about what we’re building here.
About the roleWe're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from data exploration to production.
Building, optimising, and deploying models that operate reliably at scaleDeveloping a deep understanding of energy markets, grid dynamics, and trading strategiesTaking ownership of the full lifecycle of your work, from research and prototyping through to productionWriting clean, production-quality code and contributing to robust, scalable systemsWorking beyond notebooks, turning ideas into real-world, productionised solutionsIt’d be nice if you could bring:Knowledge of the electricity system, specifically power tradingComfort speaking to clients (we’re a small team and wear many hats)Familiarity with time-series dataTech stack🐍 We build in Python + React for the frontend (less relevant for this role)🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.
🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly☁️ We deploy on GCPWhat's in it for youA meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity).
We operate with a deliberately flat s.