Senior AI Engineer
- Location
- Greater London, England, United Kingdom
through to live running. Build for reuse, turning capability proven in one product into shared components, libraries, skills, tools, MCP servers, and connectors. Implement infrastructure as code, own CI/CD pipelines, and accept services into operation only when ownership, controls, and support are clear. … skills, or connectors for other systems and agents to consume. Hands‐on experience with a major cloud, ideally Azure, including containers or serverless compute, infrastructure as code, CI/CD, identity, RBAC, and secret management. Experience owning services in production — monitoring, incident investigation, upgrades, lifecycle ...