151 to 175 of 408 Microsoft Certified Professional Jobs in the UK

enterprise-grade AI products and services.* Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities.* Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.* Develop reusable AI frameworks, accelerators and engineering standards.Engineering Excellence* Lead technical implementation across multiple AI initiatives.* Define solution architecture … Knowledge of Service Reliability Engineering (SRE) principles.* Experience developing AI-powered operational tooling.* Experience building internal AI platforms or developer enablement capabilities.* Familiarity with Microsoft AI ecosystem, Copilot technologies and Azure AI services.The successful candidate will demonstrate:* Deep technical curiosity and engineering excellence.* Strong ownership mindset and delivery focus. ...

architecture including model orchestration, prompt and context management, retrieval pipelines, vector stores, agent frameworks, and tool/context integration (including emerging protocols such as MCP) Define and enforce responsible AI, governance, and assurance frameworks — covering bias, safety, data privacy, and model risk — aligned to client and regulatory requirements (including … architecture, microservices, and data pipeline/data engineering experience) and a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience These will help you succeed Experience with agent orchestration frameworks (e.g. LangGraph, AutoGen, CrewAI) and emerging tool‐integration protocols (e.g. Model Context Protocol ...

platform architecture: model orchestration, prompt and context management, retrieval pipelines, vector stores, agent frameworks, and tool/context integration (including emerging protocols such as MCP) Define and enforce responsible AI, governance, and assurance frameworks - covering bias, safety, data privacy, and model risk - aligned to client and regulatory requirements Lead … cloud-native architecture, microservices, and data pipeline/data engineering experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience; an advanced degree is a plus Preferred/Desirable Skills Experience with agent orchestration frameworks (eg LangGraph, AutoGen, CrewAI) and emerging tool-integration ...

with healthy scepticism around reliability, privacy, security and hypeNice to HaveExperience in one or more of the following areas would be particularly useful:Building MCP servers, MCP clients, tool registries or secure agent-accessible APIsSlack, Microsoft Graph, SharePoint, OneDrive, Outlook, Teams, Google Workspace, Jira, Snowflake, Figma or similar workplace … retrieval or indexing infrastructureInfrastructure: AWS, Kubernetes, DockerIntegrations: Slack, Microsoft Graph, SharePoint, OneDrive and other business-system APIsAgentic capabilities: LLM APIs, typed tool interfaces, MCP and workflow or agent SDKs selected according to the problemOperations: Structured logging, tracing, evaluation, audit history and production monitoringWe expect the team to make deliberate ...

develop AI solutions, including Generative AI and Agentic AI using Google ADK.Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers.Write high-quality code in Python and/or Java, working across modern AI and platform technologies.Provide technical leadership, mentoring and guidance to other …/or Java; experience with both is highly desirable.Experience with Generative AI and AI Agents, ideally including Google ADK.Practical experience with Model Context Protocol (MCP) and AI/data/service integration is highly desirable.Strong understanding of REST APIs, networking, databases and CLI tooling, with Postgres/Oracle experience preferred.Experience ...

solutions, including Generative AI and Agentic AI using Google ADK . Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers. Write high-quality code in Python and/or Java , working across modern AI and platform technologies. Provide technical leadership, mentoring and guidance … experience with both is highly desirable. Experience with Generative AI and AI Agents , ideally including Google ADK . Practical experience with Model Context Protocol (MCP) and AI/data/service integration is highly desirable. Strong understanding of REST APIs, networking, databases and CLI tooling , with Postgres/Oracle experience ...

Data Architecture capabilities, standards and patterns needed to support current and emerging AI approaches, including Generative AI, RAG, agentic AI and Model Context Protocol (MCP).You will work with senior stakeholders, Data Owners, Data Stewards, Data Custodians, Data Governance, Enterprise and Business Architecture, Data Solutions, Cloud & Platform, IT Assurance, delivery … practical experience of modern and emerging Data and AI technologies and architecture patterns, including LLMs, Generative AI, RAG, semantic/vector capabilities, agentic AI, MCP, cloud data platforms and related integration technologies, with an understanding of Python or similar technologies for prototyping and evaluation.Portfolio & Agile Alignment: Experience aligning Data ...

visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands ...

day. Maintain a deep understanding of AI coding agents and how they fit into modern development teams, along with technical concepts like API/MCP, data structure, permissions, and automation. Exhibit excellent discovery skills, enabling you to uncover customer workflows, technical constraints, decision criteria, and success metrics before jumping ...

/authz, tenant isolation, and privileged access Immerse yourself in the agent security domain our customers are focused on: prompt injection, agent supply chain, mcp permissions, and non-human identities Security Engineering & Operations Own security across Geordie's cloud infrastructure and internal environments. Own the company's security roadmap, risk ...

Distribution on the DeepL platform (main channel): drive media translation adoption directly within web, browser extension, and apps. Work closely with the API/MCP track. PLG/PQL engine: define what qualifies as a strong PQL for media translation (usage signals, account characteristics, intent signals) , build the instrumentation ...

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 ...

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 ...

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 ...

Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming Observability … with ITIL best practices (incident, change, and problem management) preferred. Experience with Lean or Agile methodologies preferred. Relevant certifications (e.g., AWS/Azure Associate, Certified Kubernetes Administrator) preferred. Experience: Significant experience in platform, DevOps, infrastructure, or software engineering roles. Bachelor’s degree in Computer Science, Information Technology, 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 ...

design, development and deployment of AI-integrated applications using modern full-stack technologies. Build features powered by LLMs, agentic workflows, RAG patterns and MCP integrations. Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure … mentor others. Excellent communication and stakeholder management skills. Comfortable working autonomously and shaping ambiguity into structured delivery. Desirable Azure AI Engineer certification. Understanding of MCP, vector databases and AI evaluation/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers ...

. Working knowledge of vector databases (e.g., Pinecone, FAISS, pgvector) and RAG architectures. Experience with agent frameworks/protocols (e.g., LangChain, LangGraph, AutoGen, MCP) is highly desirable. Proficiency in SQL and at least one programming language (Python preferred) for prototyping and integration work. Solid understanding of data governance, security … management, communication, and technical leadership skills. Preferred Qualifications Cloud certifications (AWS/Azure/GCP Solutions Architect or Data Engineer). Databricks (e.g., Databricks Certified Data Engineer) and/or Snowflake (e.g., SnowPro Core) certifications. Experience in a specific domain relevant to the business (e.g., banking, financial services, insurance ...

Agentic AI—including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled with excellent communication skills to engage with clients and internal teams effectively.Your roleIn the role of Senior Consultant within Topaz Unit, you will … Experience in designing and scaling GenAI chatbots.•Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler•Good understanding of Responsible AI principles•Ability to transform business problems into analytical solutions, fostering cross functional collaboration between ...

NIST CSF (Respond/Recover), NIST SP 800-61r3, MITRE ATT&CK, and D3FEND.• Set roadmap and strategy for SOAR platforms (Splunk SOAR, Microsoft Sentinel SOAR/Logic Apps), case management, evidence collection, and response orchestration.• Define and oversee SOAR playbook automation builds, documentation, and execution• Define … integration into SOAR, case management, or analyst tooling.• Demonstrated track record shipping AI-augmented incident response capabilities in a large enterprise.• Working knowledge of MCP server architectures and emerging agentic frameworks for SOC use cases.• Deep expertise across the full IR lifecycle: triage, scoping, containment, eradication, recovery, evidence handling, post ...

deploy enterprise-grade AI products and services.Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities.Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.Develop reusable AI frameworks, accelerators and engineering standards.Engineering ExcellenceLead technical implementation across multiple AI initiatives.Define solution architecture and engineering patterns … highly regulated environments.Knowledge of Service Reliability Engineering (SRE) principles.Experience developing AI-powered operational tooling.Experience building internal AI platforms or developer enablement capabilities.Familiarity with Microsoft AI ecosystem, Copilot technologies and Azure AI services.The successful candidate will demonstrate:Deep technical curiosity and engineering excellence.Strong ownership mindset and delivery focus.Ability to solve ...