tem · United Kingdom
📈 Who We Are:
We are rebuilding the energy transaction, making it transparent and fair.
We're rebuilding how energy is bought and sold. That means cutting out middlemen, connecting businesses directly with renewable generators, and ensuring every transaction is traceable and transparent.
We're a 160+ person team - operators, data scientists, engineers, customer champions and energy experts - backed by top-tier investors including Lightspeed Venture Partners, Hitachi Ventures, Allianz, AlbionVC and Atomico. We closed a $75M Series B round in early 2026, taking our total funding to $94M, and we now power energy for over 4,000 UK businesses across 8,500+ sites, with over £75m in value returned to businesses and generators so far.
We're a technology company solving the energy industry, not an energy company. Some people call us a neo-utility, the neo-bank idea, applied to energy.
The industry is noticing. We were crowned Europe's Most Exciting Tech Company at the GP Bullhound Allstars awards(https://www.gpbullhound.com/articles/allstars-awards-2026-winners-announced/), came in at 6 on LinkedIn's Top Startups 2026(https://www.linkedin.com/pulse/linkedin-top-startups-2026-20-uk-companies-rise-linkedin-news-uk-xoffc) in the UK, 7 on the Scaling Europe 50(https://scalingeurope.co.uk/) of Europe's fastest-growing companies, and 14 on Sifted's AI 100(https://lnkd.in/p/ehxWgJyc).
Learn more about us on our website(https://www.tem.energy/).
The Role --------
We're hiring a Senior Staff Machine Learning Engineer (ML Platform).
In this role you will work on the ML platform inside Rosso, improving the infrastructure, tooling and standards that let us develop, train, evaluate, monitor and iterate models quickly and with confidence. You know ML engineering deeply and will contribute to model improvements where it matters, with a primary focus on building the platform and tools that help the whole team work faster and better.
You will:
Build t …truncated… the scaling pressures and complexities…
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