Senior MLops (Full Stack) Engineer | Foundation Models
The Senior MLops (Full Stack) Engineer will be responsible for building and maintaining APIs to serve ML models, designing robust ML infrastructure, and deploying machine learning models into production. This role involves collaborating with ML teams, building internal tools, and owning CI/CD pipelines.
🌍 Tackle the biggest challenge in AI – Be part of the mission to bend the curve on compute costs, energy waste, and emissions in the LLM arms race. Our optimiser is redefining how the world trains and serves large models.
🧠 Work on the frontier – You’ll engineer the infrastructure behind cutting-edge AI systems — pushing the boundaries of speed, efficiency, and scale with a team that lives at the intersection of ML, systems, and optimisation research.
🚀 High-impact, high-autonomy – We’re a lean, expert-led team where your work ships fast, matters deeply, and scales globally. Expect ownership, speed, and the freedom to build without bureaucratic drag.
💥 Foundation model as infra – Our optimiser is itself a foundation model. You’ll help serve, adapt, and scale it in the wild — an opportunity few engineers will ever get.
💸 Equity that means something – You’re not late to the party. Join at a time when your equity still reflects the upside you help create.u
Posted June 10, 2026