26 to 50 of 141 Microsoft Certified Professional Jobs in the UK excluding London

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

/risk/audit experience Deep knowledge of GenAI and Agentic AI security risks Experience with AWS, Azure and/or GCP Exposure to MCP, A2A, AI tool integrations and threat modelling are strong advantageous Strong technology risk/internal audit background Certification such as CCSP, CCSK, AWS, CISA, CISSP ...

enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals. ...

including: Learning and Development: Work alongside a multidisciplinary team of AI, data, and consulting experts who are committed to continuous learning, knowledge sharing, and professional growth. Hybrid Flexibility: Our hybrid work model gives you the flexibility to balance collaboration, client needs, and personal commitments. Comprehensive Benefits: We offer ...

/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) Qualifications Essential requirements Experience in managing and technically leading a software engineering team Soft-skills to interact with ...

AppStore enablement, hybrid public cloud automation, mainframe automation, RHEL lifecycle upgrades, Moneta boot upgrades, and AI-driven automation use cases such as AaaS MCP, VersionUp, IntelliPatch, and AaaS Utilities. Drives decisions that influence the product design, application functionality, and technical operations and processes. Drives team adoption of enterprise-authorized ...

AppStore enablement, hybrid public cloud automation, mainframe automation, RHEL lifecycle upgrades, Moneta boot upgrades, and AI-driven automation use cases such as AaaS MCP, VersionUp, IntelliPatch, and AaaS Utilities.Drives decisions that influence the product design, application functionality, and technical operations and processes.Drives team adoption of enterprise-authorized AI-assisted engineering ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus.Job ResponsibilitiesDesign, develop … Machine Learning, or related field.Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots).Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces.Familiarity with LLM application patterns: embeddings/vector search ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search ...

ownership of tasks and delivering against objectives. It would be great if you had: Knowledge of ITIL Service Management processes and practices. Accreditation to MCP level or equivalent. Customer service skills and experience of dealing and resolving complex issues. If youre interested in this role but not sure if your ...

diploma in IT, Computer Science or a related subject. At least 4 years' hands-on IT support experience. IT certifications such as CompTIA, MCP or MCSE are a plus. Comfortable working under pressure and to deadlines. A helpful, flexible attitude and strong communication skills. For more information, or to apply ...

where priorities can change in response to customer and operational needs. Strong written communication and the ability to collaborate asynchronously. Desirable Experience Experience implementing MCP servers or clients. Experience with agentic workflows or multi-agent systems. Experience designing AI evaluation or governance frameworks. Experience selecting models and tools based ...

thinking or external contributions in AI engineering (talks, writing, open source) Experience with multi-agent coordination: task decomposition, handoff, shared state Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML researchers without production engineering experience. We build products ...

Published thinking or external contributions in AI engineering (talks, writing, open source) Experience designing platform layers that other teams build on Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML research without production engineering experience. We need builders Narrow ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks . Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors . Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending … genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel . Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets ...

Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability … language models, agentic platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers including Anthropic, Microsoft, AWS, and Databricks to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across ...

e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process as an agentic … cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability ...

e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process as an agentic … cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability ...

Cloud, or another cloud platform. Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures. Exposure to generative AI, RAG, AI agents, MCP, or enterprise AI integrations. Experience supporting enterprise applications, scientific/research workloads, IoT systems, or internal platform services. What You’ll Bring 3+ years … pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/CD, containers, or cloud services. Bachelor’s degree in Computer Science , Engineering ...

manage multi-agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions and vector … Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

manage multi-agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions and vector … Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...