5 of 5 Remote/Hybrid Azure Cognitive Services Jobs in the UK

ecosystem. You'll work closely with clients, sales teams and technical specialists to design compelling Data & AI architectures that showcase the value of Azure, analytics, and modern data platforms. Key responsibilities: Leading presales engagements across Data & AI, translating business challenges into well-defined Microsoft-led solutions. Designing high … level architectures across Azure Data Services, AI/ML, analytics, and modern data platforms. Supporting bids, proposals, and customer workshops, ensuring solutions are commercially viable and technically robust. Working alongside sales teams to qualify opportunities, shape customer roadmaps, and articulate the value of Microsoft Data & AI. ...

delivery teams and contribute to the development of reusable products and accelerators. Responsibilities Design and architect advanced data and AI platforms across Microsoft Azure and associated technologies Lead the delivery of large-scale data solutions, ensuring quality, performance and alignment to best practice Shape technical strategy and support … capability Engage with C-suite stakeholders to simplify complexity and communicate strategic technical vision Skills and Experience Extensive hands-on experience across Microsoft Azure data and AI services (Azure Data Factory, Synapse, Fabric, Power BI) Proven track record architecting enterprise-scale AI, data ...

innovation opportunities. Support and mentor technical teams to strengthen capability across architecture and delivery functions. Experience & Skills Extensive experience designing solutions within the Azure data platform ecosystem (e.g., data integration, analytics, storage, and BI services). Strong background in AI solution design, including machine learning, generative … cognitive services, and responsible AI principles. Expertise in modern data architecture approaches such as lakehouse, distributed data models, ELT/ETL pipelines, master data management, and dimensional modelling. Experience integrating enterprise applications and low-code platforms into broader data strategies. Solid understanding of software delivery practices ...

strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI … Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration : Create ...

strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI … Augmented Generation (RAG) and CAG (Cache Augmented) Architecture : Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration : Create ...