Senior Machine Learning Engineer

🚀 Senior / Staff ML Platform Engineer 📍 London (Hybrid) 💰 Up to £150k 🏢 Well-funded AI company (£100m+ raised) We're working with a fast-growing AI company building large-scale infrastructure that powers the training, deployment, and operation of cutting-edge machine learning systems. They're looking for engineers with strong software engineering fundamentals who have moved into ML infrastructure, platform, or systems engineering roles. What you'll be doing 👇 • Building the platforms and services that support ML training and deployment • Developing tooling for data processing, experimentation, and model lifecycle management • Improving scalability, reliability, and performance across ML infrastructure • Building internal platforms used by researchers and applied scientists • Working closely with ML teams to productionise new capabilities • Designing and maintaining distributed systems operating at scale What they're looking for 🧠 • Strong backend software engineering background • Experience building production systems in Python and at least one systems language (C++, Java, Go etc.) • Experience supporting ML workloads, training pipelines, or inference systems • Strong understanding of distributed systems, scalability, and reliability • Engineers who enjoy building the infrastructure around machine learning rather than developing models themselves • Experience working closely with ML researchers or applied scientists Tech ⚙️ • Python, PyTorch • Distributed systems • Data and ML platforms • Ray • Cloud \& GPU infrastructure Why it's interesting 💡 • Work on the engineering backbone behind cutting-edge AI systems • High ownership within a small, senior team • Solve complex software and infrastructure challenges at scale • Strong commercial traction and significant backing • Opportunity to shape the platform powering future AI products