5 of 5 Remote/Hybrid Azure Machine Learning Jobs in London

years overall in software/solution architecture with 7+ years in cloud (Azure) and 5+ years in AI/ML or Azure AI solutioning. Proven experience leading production grade solutions using Azure OpenAI, Azure AI Foundry, Azure … experience Experience with vector databases (Cosmos DB with vector search, Redis Enterprise, or Pinecone) and semantic ranking. Knowledge of Azure Machine Learning for training/evaluation pipelines and model registries. Familiarity with Power Platform (AI Builder, Power Automate) for rapid AI-enabled workflows. ...

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 for RAG architectures (vectorization, indexing, chunking … grounding, citation policies) using Azure Search or vector-enabled data stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams. Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security boundaries, and observability. ...

services including VNets, gateways, Service Bus, Event Grid, Synapse, Blob Storage, Azure Monitor, Azure Machine Learning, Azure Foundry, Azure Copilot Studio, Function Apps, API management, authentication, and Logic Apps.) to deliver ...

Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform Workplace Type: Hybrid Location: London Salary: 130-150k The Role This is a senior leadership role for someone who wants to sit at the heart of a business where AI is already embedded into live … Employee Benefits Private medical insurance 25 days holiday Pension Hybrid working (2 days per week in the office) Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...