51 to 52 of 52 Data Lake Jobs in the City of London

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

Copilot Studio and Azure OpenAI. Ensure interoperability across the broader Microsoft ecosystem, including Power BI, Power Automate, and Security Copilot. Define and enforce governance standards for Copilot usage, data access, and prompt management. Work closely with security and compliance teams to ensure adherence to organisational and regulatory requirements. Monitor and manage permissions, data boundaries, and responsible … identity management. Experience with Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. More ❯