Description
Axle Energy is hiring a Full Stack Data Scientist to build, optimize, and deploy reliable machine-learning models at scale for energy markets, grid dynamics, and trading strategies. The role owns the full lifecycle from research and prototyping through production, requires production-quality Python and scalable-systems work, and prefers knowledge of power trading, client communication, and time-series data. The position offers a hybrid arrangement with 2–3 days per week in the office near Farringdon, total compensation of £75,000–£200,000 including base salary and equity, and an interview process involving an initial interview, take-home exercise, final in-person interview, and offer.
