Senior Machine Learning Platform/Ops Engineer
- Location
- Greater London, England, United Kingdom
help productionize machine learning systems with high reliability, performance, and observability. You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. You’ll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape … preferably GCP or AWS), Kubernetes, and CI/CD workflows Understanding of ML model lifecycles: training, validation, deployment, and monitoring Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s) Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact ...