3 of 3 Contract Azure Key Vault Jobs in Central London

to define and implement controls across the AI lifecycle, ensuring alignment with internal policies and external regulations such as the EU AI Act, FCA guidance, and GDPR. A key part of this role involves leveraging Microsoft Purview to enforce data governance, classification, and compliance across AI systems. You will also collaborate with the AI Governance Lead to assess … technical input on risk mitigation strategies and onboarding documentation. Security & DevSecOps Integration Integrate AI security controls into CI/CD pipelines and MLOps workflows. Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and … for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, Microsoft Responsible AI Standard). Hands-on experience with: Azure AI services, Microsoft Copilot Studio, and Power Platform Secure deployment tools (e.g., Azure Key Vault, RBAC, CI/CD pipelines) Data protection and More ❯

that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure … and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone More ❯

solutions using Microsoft's low-code ecosystem. This role focuses on building Copilot Studio agents, Power Automate workflows, and Power Apps that integrate with enterprise systems and leverage Azure OpenAI, Microsoft Graph, and Azure AI services. You will design and orchestrate agentic workflows that automate high-value tasks across banking functions such as compliance, risk, and … data. Build and manage custom connectors to internal APIs and third-party services. Agentic Workflow Orchestration Architect multi-step agent workflows using: Semantic Kernel SDK (C# or Python) Azure OpenAI (GPT-4, function calling, chat completion) Planner and Kernel Memory APIs for reasoning and memory RAG pipelines grounded in enterprise data via Azure AI Search Microsoft … and reason over content in: SharePoint, OneDrive, Teams, Outlook, and Planner Use Microsoft Graph API to retrieve and manipulate enterprise data Enterprise Data & AI Services Integration Integrate with: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services for summarization, translation, and NER Cloud Engineering & Security Deploy solutions More ❯