
Modo Energy is the industry standard revenue benchmarking and forecasting platform for battery energy storage analysts. Through an integrated mix of price forecasts, revenue benchmarking, in-depth…

Modo Energy is the industry standard revenue benchmarking and forecasting platform for battery energy storage analysts. Through an integrated mix of price forecasts, revenue benchmarking, in-depth…
What they do: AI-native analytics and benchmarking platform for battery energy storage and solar asset valuation
Headquarters: London, United Kingdom
Founded: 2019
Recent funding: Reported Series B (~$30M) with participation from Molten Ventures, ETF Partners, MMC Ventures, Fred. Olsen Limited
Revenue forecasting, benchmarking and valuation for battery energy storage and solar assets
2019
IT Services and IT Consulting
$30M
Participation from ETF Partners, MMC Ventures and Fred. Olsen Limited reported
“Participating investors include established VC firms (Molten Ventures, MMC Ventures) and strategic investor Fred. Olsen Limited”
The Role
Modo Energy is building AI-powered tools for understanding global energy markets — combining large-scale data, forecasting models, and LLM systems into high-performance interfaces engineers and analysts use every day.
We're hiring a backend Python Engineer to join the Modelling team — the brains behind Modo Energy's forecast product. Our forecasts help investors, operators, and traders understand what energy assets will do next, and they need to be fast, reliable, and trusted.
You'll work across the full backend stack that powers these models: the APIs that serve forecasts to the Terminal, the pipelines that run them at scale, and the infrastructure that keeps everything ticking. You'll work closely with energy analysts and data scientists to turn quantitative models into production-grade systems that customers depend on daily.
We’re an AI-native engineering team — everyone uses AI coding tools and many of the systems we build are designed to be consumed by AI agents as much as humans.
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