Founding Engineer / MLOps / Data Engineering / Up to £120k in London

Founding ML Ops Engineer - Founding Team | ML Infrastructure | Climate Tech King's Cross, London (4 days/week) £We're partnering with a well-funded, early-stage climate technology startup that's using cutting-edge machine learning to tackle one of the biggest challenges facing the energy transition. Backed by leading industry investors and already working with enterprise customers, they're now looking for their first ML Ops Engineer to build the infrastructure that will power the next stage of the company's growth. You'll take ownership of everything that sits between machine learning research and production - building the platforms, pipelines and engineering practices that allow the team to move quickly and scale with confidence. Working alongside the CTO and ML Engineer, you'll own the ML infrastructure from the ground up, making key architectural decisions from day one. Owning and evolving the company's ML infrastructure and compute environment Building and automating scalable data pipelines Improving developer workflows and ML engineering practices across the team Structuring codebases and deployment workflows to support future growth Making key cloud infrastructure decisions (Azure today, AWS is an option) Helping bridge the gap between research and production systems Has experience owning ML infrastructure or ML Ops within a startup or scale-up Understands how to support researchers while building production-ready systems Enjoys making architectural decisions and building systems from scratch Azure (with the opportunity to evaluate AWS) Python ML pipelines The stack is flexible—the focus is on finding someone who can make the right long-term engineering decisions rather than someone tied to a specific cloud provider. Own the ML infrastructure from day one Equity alongside a competitive salary London (King's Cross) | 4 days per week in the office (3 may be considered for the right person)