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Salary: GBP 75,000 - 200,000 / annual
Axle Energy is building software infrastructure for the decarbonised energy system. The company controls hundreds of thousands of energy assets—vehicle charging systems, heating systems, and home batteries—optimizing when energy is used to align with cheap and green electricity availability. Backed by Energize Capital and Accel, Axle operates at high speed in a legacy industry, moving real gigawatt-hours of electrons while scaling rapidly.
In this role, you will work as a full-stack data scientist owning the complete lifecycle of your work: from data exploration and research through prototyping to production deployment. You'll build, optimize, and deploy machine learning models that operate reliably at scale, developing deep domain expertise in energy markets, grid dynamics, and trading strategies. You'll write production-quality Python code, contribute to robust and scalable systems, and move beyond notebooks to deliver real-world solutions.
The team is deliberately flat and collaborative. You'll have the opportunity to speak directly with clients, wear multiple hats, and shape the future of energy markets while accelerating the transition to a low-carbon world.
Tech stack: Python, React (frontend), Docker, GCP, Claude AI for development.
Workplace: Hybrid with a dog-friendly office near Farringdon, London. You'll be expected to spend 2–3 days per week in the office to maximize collaboration.
Compensation & Benefits:
- Total compensation: £75,000–£200,000 (base salary + equity)
- Meaningful equity stake in Axle
- Deliberately flat pay structure with 1:1 median ratio between founder and team compensation
- Enhanced parental leave
- Bi-annual team retreats
Interview Process: Initial interview → Take-home exercise → Final in-person interview → Offer and references.
REQUIREMENTS:
- Experience with machine learning model building, optimization, and production deployment
- Strong Python programming skills and ability to write production-quality code
- Experience with time-series data (preferred)
- Knowledge of electricity systems and power trading (nice to have)
- Comfort engaging with clients and cross-functional collaboration
- Ability to own projects end-to-end from research to production
