151 to 175 of 221 Microsoft Certified Professional Jobs in England

signal back into product and architecture decisions**Bonus Points*** Background in email security, threat detection, DLP, identity, or data platforms* Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture* Experience with eval design for AI features, product discovery practices, or data contract/data mesh approaches* Exposure … high level**Qualifications*** Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent demonstrable experience* 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role* A track record of product-shaping responsibility ...

tooling such as LLMs, retrieval pipelines, agentic workflows, and platforms such as Anthropic Claude. Experience designing and deploying AI agents, leveraging Model Context Protocol (MCP), and orchestrating enterprise-grade AI solutions will be highly valued. Acting as a bridge between business and technology, you’ll work across product, data science … have experience building and deploying agentic AI solutions using platforms such as Anthropic Claude, including AI agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics ...

Sound judgement around data access, PII handling, RBAC, and the security implications of letting AI systems act autonomously. Preferred experience Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one. Experience in a scale-up, SaaS, or other … moving technology environment. Experience partnering with operational, commercial, or corporate functions rather than working only with engineering teams. Experience and Qualifications 5+ years of professional experience in software engineering, applied AI engineering, or a hybrid solutions and automation role. Experience working alongside non-technical or semi-technical teams ...

real lifecycle work: intake triage, estimation, requirements, technical design, coding, testing, release, and operations. Engineer the scaffolding that makes agents dependable tool use via MCP, agent-to-agent handoffs (A2A), event-driven orchestration, and deep Jira and enterprise system integration. Build on Equinix's enterprise AI platform AI gateway, orchestration … when to demand human review, and the communication skills to explain that reasoning. Preferred Qualifications Experience with agent frameworks and protocols such as MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, orLangGraph. Experience building developer platforms, orchestration systems, or SDLC tooling, including Jira, GitHub, or ServiceNow integration. Knowledge-engineering experience ...

drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations … when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM. Experience building frameworks, tools, or platforms adopted by multiple teams ...

drive alignment across senior cross‐functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi‐agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human‐in‐the‐loop review patterns, and agent evaluation. Background in e‐commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations … when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM. Experience building frameworks, tools, or platforms adopted by multiple teams ...

production issues are a normal, expected part of the job, not an interruption to it. Design internal tools such as CLIs, APIs, and MCP servers that make your team and others faster, and that let both humans and AI agents work with our data safely and effectively. Work directly with … deeper infra, and pick up what you don't already know. What We’re Looking For The Essentials 3+ years of professional Python experience, with strong backend fundamentals. You write clean, well-structured code and are comfortable owning something end-to-end, from design through deployment and monitoring. Real ...

drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations … when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM.Experience building frameworks, tools, or platforms adopted by multiple teams ...

/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 … experience as a machine architect in the industry designing bigdata,machine learning. large scale analytical engineering solutions About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance ...

/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 … experience as a machine architect in the industry designing bigdata,machine learning. large scale analytical engineering solutions About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance ...

governance, administration, security, and enablement features that internal teams require to build and run AI agents and workloads at scale — spanning our LLM Gateway, MCP Gateway, agent runtime, and model governance controls. This role requires strong technical judgment, a deep understanding of enterprise deployment patterns, and the ability to translate … elegant, self-service product experiences for builders across the firm. Key Responsibilities Own the roadmap for core platform capabilities including the LLM and tool (MCP) gateways, web search access, audit logging, access controls, and integration of approved AWS and Azure AI services. Develop and maintain the builder experience ...

Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation. Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before … prompt strategies and evaluating model performance across different foundation models * Building Lambda functions and API integrations that serve as tools for AI agents * Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption * Designing A2A workflows where Amazon Connect agents hand ...

discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … data engineering to build the whole thing yourself Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP, with evidence you've shipped AI users actually rely on, and how you proved it could be trusted Evaluation-driven habits: golden datasets, eval frameworks, guardrails ...

native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. About the job Google Cloud’s mission is to make every business successful through AI by combining cutting-edge … yours. Responsibilities Lead development of complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Design and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs ...

D360Build proof-of-value demos (target: under two weeks) with AEs/SEs to accelerate buying decisionsFluent in headless architecture and AI-driven agents (MCP, A2A) — always applied through a data-first lensLong-term trusted advisor to strategic accounts, beyond any single deal3. Reference Architecture & Technical GTMBuild reference architectures … Skill SetData Platforms: Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governanceAI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperabilitySalesforce Platform: Data 360, Agentforce, Agent Builder — deep architectural fluencyIntegration/BI: MuleSoft, hyperscaler SDKs, Tableau/PowerBI/Looker familiarityKey QualitiesFuturist — connects ...

translate capability changes into delivery capability and commercial offerings. Building and Embedded Delivery Build production AI systems hands-on: agents, tool use, retrieval pipelines, MCP integrations and enterprise workflow connectors. Embed with client teams to map how work actually runs across functions, then design and deliver against it. Lead … Intellectual Property Own and productise Invoka's AI delivery IP: the accelerator framework, reusable components, prompt libraries and evaluation suites. Take our in-house MCP servers from internal tools to supported, documented, sellable asset, and own its roadmap. Develop our temporal data and change analysis capability, which we deliver ...

collaborate credibly with Data Scientists and Actuarialcolleagues. Hands-onexperience applying AI and LLM tooling to analytics work (such as Copilotfor Power BI/Fabric, MCP-style integrations or agentic assistants). Experiencewith Microsoft Fabric, dbt, Azure DevOps/GitHub Actions and data-qualitytooling. This is an excellent opportunity ...

that make Menlo's AI-driven features possible. The role blends deep systems and networking engineering with hands-on work on AI agents and MCP (Model Context Protocol) servers, alongside the cloud infrastructure (AWS, GCP, Kubernetes, Terraform, Linux) that supports them. You'll work alongside engineers across Chromium … against MARS roadmap milestones. Performance and stability of shipped Chromium-based components (e.g., crash rate, latency). Reduction in manual toil via agent/MCP-based tooling adopted internally. Code review turnaround time and quality for C++ contributions. Successful integration of AI agents or MCP servers into internal workflows ...

safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec … partner servers don't.Key responsibilitiesLead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token managementTake an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing teamCoach, mentor ...

pace with the technology.Stay informed of competing technologies and assess the feasibility of deploying Generative and Agentic AI solutions such as Claude, ChatGPT Enterprise, Microsoft Copilot and Google Gemini.Business DevelopmentSupport responses to bids, RFPs, RFIs and proposals, embedding the required governance to meet deadlines and quality.Collaborate with stakeholders across … Chat, Cowork and Claude Code, sufficient to design and facilitate training and workshops on each. This means practical fluency with projects, skills and connectors (MCP), and judgement about which surface suits which kind of work.Enough understanding of how Claude is deployed and administered in an enterprise to design enablement that ...

leading the architecture and delivery of multi-agent AI systems for high-value business use cases. defining engineering standards across orchestration architectures, context engineering, MCP integration, memory design, fine-tuning, evaluation frameworks and multimodal systems. building reusable AI capabilities including agent tools, MCP servers, skills and shared engineering assets. establishing … powered systems at enterprise scale. Expert-level Python engineering. Multi-agent architectures and orchestration frameworks. Context engineering, retrieval systems and memory architectures. MCP server and SKILL.md design and enterprise tooling integration. Model fine-tuning at scale (PEFT/(Q)LoRA). Building end-to-end voice AI pipelines using ...

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 ...

review steadily upward. Pipeline Engineering Build and maintain the agentic pipeline: agent harness, blueprint engine interleaving deterministic steps (lint, build, git) with AI reasoning, MCP tool layer exposing internal APIs, warm sandbox pool, and retrieval over the codebase, tickets, and historical PRs. Own the economics of the pipeline: observability over … agent-proposed solution meets performance, scalability, and reliability requirements, and challenging designs that will not hold up under real workloads. Experience building agent infrastructure: MCP servers and tool layers, sandboxed execution, and CI/CD adapted for agent-driven workflows. Deep enough .NET/C# and SQL reading fluency ...

review steadily upward. Pipeline Engineering Build and maintain the agentic pipeline: agent harness, blueprint engine interleaving deterministic steps (lint, build, git) with AI reasoning, MCP tool layer exposing internal APIs, warm sandbox pool, and retrieval over the codebase, tickets, and historical PRs. Own the economics of the pipeline: observability over … agent-proposed solution meets performance, scalability, and reliability requirements, and challenging designs that will not hold up under real workloads. Experience building agent infrastructure: MCP servers and tool layers, sandboxed execution, and CI/CD adapted for agent-driven workflows. Deep enough .NET/C# and SQL reading fluency ...

expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating … development environments, and self-service capabilities that remove manual gatekeeping Contribute to our agent infrastructure — sandboxed execution environments, credential brokering, guardrails, and the internal MCP servers and skills that make coding agents effective against our stack Improve observability and alerting so that system health is visible and actionable without manual ...