51 to 75 of 151 Microsoft Certified Professional Jobs in London

assistants in an engineering workflow — AI‐assisted troubleshooting, config generation, or building tooling and automation around network/security systems (e.g. API‐driven agents, MCP servers) Network automation — Ansible, AWX, or similar — for config and policy management. SIEM/observability tooling (FortiAnalyzer, netflow, SNMP, log pipelines). Multi‐site ...

assistants in an engineering workflow — AI-assisted troubleshooting, config generation, or building tooling and automation around network/security systems (e.g. API-driven agents, MCP servers)* Network automation — Ansible, AWX, or similar — for config and policy management.* SIEM/observability tooling (FortiAnalyzer, netflow, SNMP, log pipelines).* Multi-site ...

know what clean quote‐to‐cash architecture looks like. Agent‐first automation — you build, not just use. Fluent from no‐code (n8n, Zapier) to MCP and code when a workflow outgrows it; you automate first and hire second. Baseline payroll and UK compliance awareness — enough to spot when a number ...

delivery. You can engage credibly with engineering and data science teams, understand modern AI production patterns such as RAG, evals, agents, tool use, and MCP, and have recent experience building or prototyping AI-driven solutions.Comfort working in ambiguity. You create structure where none exists, make decisions with incomplete information ...

room. Even Better If... You have experience with Tableau, Salesforce, or another enterprise data and analytics platform. You've worked with model context protocol (MCP)-based integrations or agentic workflows. You have experience contributing to a structured feedback loop between a field organization and a product organization. You have supported ...

match you to the right one: Fluency with AI-assisted development, and interest in scaling agent-assisted workflows across the team (agentic CLI tools, MCP, skills, APIs) to amplify delivery. Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel TDX, or Confidential Containers (CoCo). Experience building SaaS or PaaS ...

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 ...

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 ...

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 ...

Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency … characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to ... #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

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 … 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 ...

scepticism around reliability, privacy, security and hype Nice to Have Experience in one or more of the following areas would be particularly useful: Building MCP servers, MCP clients, tool registries or secure agent-accessible APIs Slack, Microsoft Graph, SharePoint, OneDrive, Outlook, Teams, Google Workspace, Jira, Snowflake, Figma or similar … appropriate retrieval or indexing infrastructure Integrations: Slack, Microsoft Graph, SharePoint, OneDrive and other business-system APIs Agentic capabilities: LLM APIs, typed tool interfaces, MCP and workflow or agent SDKs selected according to the problem Operations: Structured logging, tracing, evaluation, audit history and production monitoring We expect the team ...

technical product decisions and serve needs across Figma’s product suite Establish a strong operating cadence across the area and own adoption goals for MCP and Design to Code/Code to Design workflows We’d love to hear from you if you have: 3+ years of experience managing Product ...

demonstrate the power of Zendesk headless technology and help customers embed Zendesk deep into their workflows inside and outside of the core platform via MCP and A2A technology. AI & Platform Architecture Autonomous Service Deployment: Master and deploy the Zendesk Agent Builder and Action Builder to architect multi-step, agentic workflows … target. Ecosystem Integration & Connectivity: Architect modern integrations connecting the Zendesk platform to external AI platforms and enterprise applications. Design these connections utilizing the Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns. Knowledge & Memory Engineering: Leverage Zendesk ...