2 of 2 MLOps Jobs in West London

cloud data. Build end-to-end data pipelines : collect sim/tele-op logs, manage versioned data lakes, apply weak supervision, curate datasets, and run evaluation loops. Collaborate with MLOps and Data Platform teams to scale distributed training and optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What More ❯

Senior Machine Learning Operations Engineer London (2x a week onsite) - £500 p/d (Outside IR35) 6-months Contract We are seeking an experienced MLOps Engineer to join a globally known consumer tech company focused on building innovative, large-scale platforms. In this role, you will evolve and scale the machine learning platform, ensuring it supports high-throughput model inference … and fast iteration cycles. This position is perfect for someone who thrives at the intersection of MLOps, Kubernetes, and cloud infrastructure, with a hands-on approach to solving complex challenges. You will work closely with ML engineers and product teams to align infrastructure with evolving project needs, research and implement cutting-edge MLOps practices, and mentor colleagues by sharing expertise … clusters from scratch, configuring them manually using tools like kubeadm, and deploying applications with Helmdemonstrating true infrastructure-level expertise rather than just deploying services on managed platforms. Key Skills MLOps & Kubernetes: GPU-enabled cluster management, built from scratch using kubeadm and Helm. Programming : Python or Go for ML automation workflows. Containerization : Docker and containerized application deployment. Cloud : AWS experience supporting More ❯