1 to 25 of 66 Remote/Hybrid Microsoft Certified Professional Jobs in England

design, build, and deliver next-generation AI-enabled applications and agentic systems. This role combines hands-on engineering across frontend applications, Python backend services, MCP infrastructure, agent workflows, and secure enterprise integrations. As an AI Engineer, you will build user-facing applications and backend services that integrate with Model Context … Protocol (MCP) servers, LLM-based applications, RAG-based retrieval systems, and agent orchestration platforms. You will work closely with AI developers, platform engineers, product teams, and other stakeholders to deliver scalable, secure, observable, and production-ready AI solutions. This engineering role is suited for candidates who can contribute across ...

DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning and reasoning, MCP (Model Context Protocol). Model customization: fine-tuning, distillation, and model evaluation at scale. What success looks like in this role. In the first ...

mentor engineers. Beneficial Experience with React and modern frontend development. Experience building Enterprise SaaS or ERP products. Experience working with Model Context Protocol (MCP) or similar AI integration standards. Experience with vector databases, AI observability or AI evaluation frameworks. Experience designing and delivering enterprise‐scale AI platforms or AI‐powered ...

Hosted Telecoms (Mitel, 3CX, Gamma, Horizon), IP Telephony, Linux, AWS/Azure Cloud, Access Control Systems, BCDR, CCTV IP. IT qualifications advantageous: CompTIA, MCP, MCSE, MCSA, CCNA, CCNP, ITIL, ITSM, Cyber Essentials (or similar). Working for an IT Managed Service Provider (MSP), or IT Support businesses is advantageous. Full ...

Hosted Telecoms (Mitel, 3CX, Gamma, Horizon), IP Telephony, Linux, AWS/Azure Cloud, Access Control Systems, BCDR, CCTV IP. IT qualifications advantageous: CompTIA, MCP, MCSE, MCSA, CCNA, CCNP, ITIL, ITSM, Cyber Essentials (or similar). Working for an IT Managed Service Provider (MSP), or IT Support businesses is advantageous. Full ...

cloud infrastructure experience. Experience with Terraform, containers, CI/CD and observability. Knowledge of caching strategies, latency management and inference cost optimisation. Familiarity with MCP or comparable service-registry and tool-discovery patterns. Strong testing, documentation and production engineering standards. Confidence working with platform engineers, architects and senior engineering stakeholders. ...

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 ...

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 ...

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 ...

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 ...

team and set the bar in design reviews and code reviews. Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. Participate in on-call rotations and respond to critical stability issues affecting users. Document your work clearly and share knowledge with the rest ...

/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 ...

other systems of record and engagement. Design integration patterns that let AI capabilities interoperate safely with enterprise data, identity,workflowand process automation platforms– including MCP and A2A and how these capabilities enable an enterprise Agent mesh. Understand the data,governanceand change implications of embedding AI into mission-critical enterprise processes. … Orchestration & control plane Architect the orchestration and control-plane layer that governs how AI capabilities are exposed,routedand managed across the enterprise. Design MCP, AI and LLM gateway layers for secure,observableand policy-controlled access to models and tools. Design agent and skills registries — including recommending suitable technologies and patterns ...

your own work, while staying in control and challenging the output when it is wrong Practical understanding of Claude Code, Cowork, plugins and skills, MCP connectors, and what an AI agent actually is and is not Technical background sufficient to discuss enterprise architecture, integrations, and data flows at a senior ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...