Are you an experienced ML Engineer who wants to build technology that reduces energy waste and carbon emissions in the industries that keep the world running?
This Series A AI company has built a physics-grounded platform for energy operations, helping industrial sites make safer, faster and more efficient decisions from their operational data. They've recently raised $20m and are scaling deployments with global energy operators.
As a Forward Deployed ML Engineer, you’ll work in a small pod with Full Stack and Data Engineers to make the core platform work in live customer environments.
You’ll take ML systems from model development into trusted production services, deploying APIs and containerised workloads, tuning time-series and anomaly-detection models, and improving RAG and agent workflows where retrieval quality, data quality or reliability falls short.
You’ll work directly with process engineers, solve difficult production issues and feed customer learning back into the product.
You’ll be supported by leaders spanning Imperial AI research, Shell’s global AI programme and 25 years of real-time energy data and AI deployments.
This Forward Deployed ML Engineer role is paying between £110,000 to £130,000 + equity depending on experience, and is fully remote for UK residents. No VISA sponsorship available.
Apply now or email reuben@techmunity.io for more information.
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