3 of 3 Azure Monitor Jobs in the City of London

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards … Key Vault, Azure BLOB Storage Account, Azure Log Analytics, Synapse Analytics, Azure DevOps . You should have hands-on experience in Deep knowledge of LLMs (prompting, system prompts, grounding, evaluation), embeddings , and RAG design ...

based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You'll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. … data transactions. Manage cluster configurations and CI/CD pipelines for Databricks deployments. Monitoring & Operations Implement monitoring solutions using Azure Monitor, Log Analytics, and Databricks tools. Optimise performance, ensure SLAs are met, and establish disaster recovery and backup strategies. Collaboration & Documentation Partner with data scientists ...

engineers. Technology drives their growth, their data, and their customer experience. Key areas of responsibility: Define and execute the engineering strategy across Azure cloud, integration, and legacy modernisation, aligned to the clients long-term digital roadmap. Design and deliver cloud-native solutions that scale efficiently, perform … reliably, and integrate seamlessly across business functions. Lead by example in Azure DevSecOps: create and manage pipelines (YAML), infrastructure-as-code (Bicep, Terraform), and container orchestration (AKS, Docker). Embed engineering best practice: implement CI/CD, code quality gates, automated testing, and observability from build ...