126 to 150 of 408 Microsoft Certified Professional Jobs in the UK

agents, shipping AI-built systems to production, with concrete proof of impact rather than demosGenuine fluency with LLM APIs, agent frameworks, RAG pipelines, and MCP integrations, as an active practitioner rather than an occasional userDeep engineering judgment: you can validate AI-generated code, reason about security and architecture ...

workflows, experimentation frameworks, or predictive segmentation models. You have an in-depth understanding of how LLMs and Agents work and how APIs compare to MCP, combined with insight into how these technologies can support the email channel. Unleash Your Potential When you join Salesforce, you’ll be limitless ...

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 ...

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 ...

robust Python APIs and services (e.g., FastAPI), incorporating async execution, background jobs and containerized deployments Integrate enterprise systems and tools using protocols such as MCP, A2A, OpenAPI, REST and gRPC, ensuring graceful degradation and retries Apply enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets management … latency and accuracy to technical and non-technical audiences Nice to have Experience using Azure AI Foundry or Microsoft Agent Framework Knowledge of MCP and A2A protocols for agent and tool interoperability Hands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvector Familiarity with distributed systems, workflow ...

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 ...

optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic … translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within ...

LangGraph, 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 management ...

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 ...

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 ...

managerHands-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 ...