51 to 75 of 408 Microsoft Certified Professional Jobs in the UK

others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities … represent Baringa’s expertise with credibility. Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward-deployed or embedded engineer within ...

technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications within Microsoft Azure. Working directly with customers to translate business challenges into practical technical solutions. Using tools such … into structured, scalable solutions. Microsoft AI experience Experience across the Microsoft AI ecosystem would be particularly valuable, including: Foundry Agents Cognitive Services MCP AI evaluation, testing and observability Previous experience working within a Microsoft Partner, consultancy, MSP or professional services environment would also be highly advantageous. ...

Site VPN Tunnels.VMWare, ability to create or modify a virtual server, understanding and deploy VMotion and DRS.Good understanding of VPN connectivity’sAdministration and Troubleshooting Microsoft Operating systems and applications.MCP/MCSA/MCSE CertificationsServer Virtualisation TechnologiesIdeally Experience of databases/SQL (ability to create and run own queries)Basic ...

Delivery EnablementEnable application delivery through GitOps workflows, CI/CD pipelines and Helm-based deployments.Contribute to platform tooling — including CLIs, Claude Code skills and MCP server integrations — to support AI-assisted developer workflows.Help teams adopt modern delivery practices through tooling, documentation and coaching.Contribute to the self-service deployment platform that ...

Enable application delivery through GitOps workflows, CI/CD pipelines and Helm-based deployments. Contribute to platform tooling — including CLIs, Claude Code skills and MCP server integrations — to support AI-assisted developer workflows. Help teams adopt modern delivery practices through tooling, documentation and coaching. Contribute to the self-service deployment ...

Production experience maintaining human-in-the-loop systems and AI monitoring/observabilityStrong fundamentals in AI/ML evaluation frameworksExperience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrailsIn depth understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven design ...

problems. Responsibilities Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company’s AI products and customer’s live ...

evaluation practices for agent configurations, prompts and AI workflows, including testing, controlled change and release readiness Designing secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration. Contributing to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback ...

feature stores. Familiarity with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents, and Model Context Protocol (MCP). Hands‐on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching ...

architecture requirements, including context window economics and prompt caching. Familiarity with infrastructure as code, CI/CD, and observability for data platforms. Awareness of MCP and tool‐orchestration concepts and their implications for composable, data‐driven AI systems. Fluent use of AI‐assisted development tools (e.g. Claude Code, Cursor), with ...

equivalent combination of education and experience in a related fieldPreferred QualificationsAI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality.Governance & Security: Understanding ...

combination of education and experience in a related field. Preferred Qualifications AI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality. Governance ...

London. Even Better If You Bring • Hands-on experience administering AI coding or agent tools, including Claude Code, GitHub Copilot or Codex. • Experience configuring MCP servers, connectors, permissions and access controls. • Familiarity with emerging agentic AI infrastructure and its associated security considerations. • Experience working with Netskope. • Hands-on Netskope CASB ...

senior stakeholders. Highly Desirable Experience in a regulated industry: igaming, fintech, or financial services. Hands‐on n8n experience for production workflow automation. Familiarity with MCP (Model Context Protocol) or similar frameworks. Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation. Working knowledge of vector databases, embedding models, and semantic ...

maintaining human-in-the-loop systems and AI monitoring/observability Strong fundamentals in AI/ML evaluation frameworks Experience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrails In depth understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven ...

/IAP binding, and defense-in-depth enforcement Define the layered guardrail framework applied at every boundary, balancing protection with performance Govern the MCP control plane - registry, gateway, and risk scoring - across all internal and third-party servers Mandate adopt-over-build for productized evaluation and observability stacks Establish FinOps ...

connected/semantic AECDM. BIM Expertise: Building Information Modeling concepts, Revit families, or similar parametric modeling systems. AI Systems: RAG, agents/MCP, agentic orchestration (LangGraph, Semantic Kernel), LLM observability, and data governance/AI safety (PII, prompt-injection, content filtering). Domain-Specific AI for AEC: BIM/ ...

Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiatorComfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.Government ...

Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiatorComfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. ...

ongoing transition from monolithic to distributed architecture. Help design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Make sound technical decisions for the components you own, balancing immediate needs with long-term goals. Hands-On Development Write production-quality Python code ...

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 ...

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 ...

part of the role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft ...

/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 ...

Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity #J-18808-Ljbffr ...