10 of 10 Microsoft Certified Professional Jobs in Leeds

Developer Experience (DevX) platform using Terraform on Microsoft Azure. This role focuses on automating infrastructure provisioning for AI workloads, integrating Model Context Protocol (MCP) services, and constructing robust pipelines for AI Agent deployment and evaluation. Key Responsibilities & Capabilities IaC & Platform Automation - Author, modularize, and maintain enterprise Terraform scripts …/CD - Construct automated CI/CD pipelines (Azure DevOps/GitHub Actions) designed for agentic workflows, prompt evaluation, automated testing, and release gating. MCP Integration - Design, containerize, and deploy Model Context Protocol (MCP) servers and gateways to connect AI agents securely with enterprise databases and APIs. Developer Enablement - Create ...

/no‐code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant. Implement Model Context Protocol (MCP) servers for secure AI‐to‐system connectivity. Lead AI‐based document parsing and intelligent data extraction initiatives. Contribute to educating and enabling Enterprise Capabilities areas … opportunities across Waystone. AI Engineering: Prototype AI features and iterate towards production‐ready capabilities. Build agentic workflows using frameworks such as LangChain or Microsoft Agent Framework, with a solid understanding of agent fundamentals (tools, memory, orchestration, context control). Implement AI agents with tool integration, memory, context control ...

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 ...

turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks to measure accuracy and reliability Working … data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client-facing experience and an understanding of enterprise security, compliance and legacy environments High autonomy, strong communication ...

operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security: VPC design, service mesh and zero‐trust patterns. Domain & Sector Experience Regulated industries: Experience running platforms under strict compliance … Contract and consulting delivery: A track record of taking on operational ownership of an unfamiliar estate quickly, and being trusted with it. Useful credentials Certified Kubernetes Administrator (CKA). AWS Solutions Architect Professional or DevOps Engineer Professional. FinOps Certified Practitioner (FOCP), which is a strong differentiator ...

expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.We’re an award-winning employer … services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using Git and CI/CD pipelines. Support and mentor team members ...

build and run the technical foundation of HGF’s data strategy. You’ll bring data from our source systems into our Lakehouse on Microsoft Fabric, process it through a medallion architecture, and deliver modelled, trusted data that’s ready for reporting, AI and machine learning. … data platform grows so will the role and there’s scope to move into advanced analytics, and AI-assisted tooling such as Fabric MCP, Fabric IQ, Copilot and data agents. Key Responsibilities Building and maintaining scalable data pipelines, pulling data in from core business systems and third-party sources. Designing ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … real-world products and platforms. What's in it for me? Salary £70,000 - £100,000 Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within a growing engineering function ...

Senior AI Engineer to build and maintain an automated AI Developer Experience platform on Microsoft Azure. You will automate infrastructure provisioning, integrate MCP services, and construct robust pipelines for AI agent deployment and evaluation. The role focuses on IaC, CI/CD pipelines (Azure DevOps/GitHub Actions ...

United Kingdom is seeking a Senior AI Engineer to build an automated AI DevX platform on Microsoft Azure, focusing on provisioning infrastructure, MCP integration, and robust agent deployment pipelines. The role emphasizes IaC automation, CI/CD, and observability, with a strong DevOps culture and opportunities to work with ...