ML-driven optimization and trading platform for grid-scale battery and renewable assets
Habitat Energy operates an optimization and trading platform for utility-scale battery storage and renewables across the UK, US, and Australia. The tech stack (Python, SQL, Vue, TypeScript, Kubernetes, Terraform) reflects a data-intensive engineering organization; projects reveal active work on Monte Carlo simulation, risk modeling, and client portal infrastructure—indicating a shift from pure algorithmic optimization toward operational tooling and trader experience. Hiring is accelerating across data, engineering, and finance roles, with expansion into new geographies (US and Australia hiring active).
Habitat Energy builds an optimization and trading platform for grid-scale battery storage and renewable energy assets. The platform combines machine learning forecasting and algorithmic optimization with an in-house trading team to monetize energy assets across merchant markets. The company serves developers and institutional investors financing and operating battery and renewable projects. Founded in 2017 and based in Oxford, the team of 11–50 operates across three geographies (UK, US, Australia) and is actively scaling engineering and data capabilities.
Python, SQL, TypeScript, Vue, Kubernetes, Terraform, Docker, and GitHub Actions. The stack emphasizes data processing (Python/SQL) and containerized deployment (Kubernetes/Docker).
Settlement reporting, client portal development, Monte Carlo pricing simulations, risk modeling, asset onboarding workflows, and front-end enhancements for US trading platform expansion.
Yes. 5 active roles as of last check, 3 posted in the past 30 days. Open positions span data, engineering, finance, operations, and support. Hiring is accelerating in the United States and Australia.
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