51 to 75 of 361 Model Context Protocol Jobs in England

support. Smartsheet is building a market-leading AI narrative anchored in organizational intelligence, agentic workflows, and the Model Context Protocol (MCP), and this role exists to make that narrative land with EMEA field teams and the enterprise buyers they serve. As a Sr. Product Marketing Manager … executives and solution engineers. Build and maintain the EMEA AI content suite in Smarsheet’s enablement platformHighspot: discovery slides, AI use‐case messaging guides, MCP value narratives, and competitive positioning against regional alternatives. Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement, and qualitative field feedback ...

translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholders. Knowledge of Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services ...

develop robust, scalable, and maintainable automated test frameworks Collaborate with product managers, machine learning engineers, and data scientists to translate AI features and model behaviors into test cases and validation criteria Improve testing processes and infrastructure, integrating automated checks into CI/CD pipelines Identify, document, track, and analyze … challenges of testing generative AI outputs Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP) Experience with AWS, Azure, or GCP and Docker or Kubernetes in a CI/CD environment is a big plus Exceptional analytical skills and keen ...

least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within … stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

architecture, AI readiness and help them technically validate Amazon Connect. - Design agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action and Agent-to-Agent integration.- Represent the voice of the customer; bring customer feedback to product teams … thought reasoning, and autonomous agent workflows- Experience with CCaaS adjacent capabilities including Analytics, WFM/WFO, CRM technologies.- Familiarity with interoperability protocols such as MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication- Experience with Amazon Connect ...

software development, low-code technologies, AI agents, or a hybrid approach, and design solutions accordingly. Build and deploy Model Context Protocol (MCP) servers that securely expose firm tools and data as needed to the firm’s internal AI agents. Design, develop, and deploy custom software applications that ...

production**, including rapid prototyping, evaluation, deployment and operation of agentic applications such as multi-agent systems and Model Context Protocol (MCP) services.# **What you’ll do**Software engineering* Design and develop sophisticated backend services, platforms and RESTful APIs that support critical trading and middle-office workflows.* Build … deployment** journey for Data and AI applications, moving solutions from prototypes into production.* Develop production-grade agentic workflows, including multi-agent architectures and MCP-based services.* Build high-performance evaluation pipelines and observability frameworks to assess the accuracy, safety, reliability and latency of AI-powered applications.* Find opportunities where ...

differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities — including LLM-powered features, AI agent frameworks, and MCP servers — to accelerate both internal tooling and customer touchpoints. You'll join an existing Senior Solutions Architect and share technical ownership of theplatform, dividing focus … platform architecture, and presenting technicalrecommendations to the team. This increasingly includes AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that automaterepetitive commercial processes. You'll investigate and resolve production bugs,optimize web portal ...

products with clear human oversight, measurable outcomes and safe rollback. Principal Accountabilities Design, build and operate the enterprise agentic platform, including orchestration, runtime services, model routing, memory, identity and policy enforcement. Develop reusable agent frameworks, SDKs and patterns that enable engineering teams to build secure, scalable AI agents consistently. … controls. Integrate agents securely with enterprise platforms, cloud services, APIs and knowledge sources using modern integration standards and Model Context Protocol (MCP). Build production-grade agent services using Python, cloud-native architectures, event-driven design, automation and Infrastructure as Code. Implement robust evaluation, observability and continuous ...

outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit.***Build the Architectural Context Engineering Teams Operate Inside***ADRs, service interaction patterns, NFR targets, and data contracts are not documentation — they are the substrate that lets engineering teams … 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 ...

foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build. … grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable, and secure data ...

usage across all engineering teams. System Orchestration: Integrate AI solutions seamlessly with CI/CD pipelines and Model Context Protocol (MCP) servers to create automated, end-to-end development cycles. Strategic Collaboration: Partner with cross-functional engineering teams to embed AI-driven processes directly into core SDLC … large scale enterprise/industrial SDLC (large enterprises with complex process/tools). Given they need to apply their genAI skills in the context of a transformation from old to new...leading/guiding/designing how old style meets new style of engineering. Often we see inexperienced developers ...

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 ...

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 ...

Copilot Studio, Azure AI Foundry, or custom AI agent development, not just AI strategy or leadership. Familiarity with Model Context Protocol (MCP) and unstructured-to-structured data tools like OCR or Document Intelligence. Experience with Snowflake or a similar data platform. DevOps experience managing Dev-UAT-Prod ...

Python, APIs, etc. Familiarity with AI-assisted development and agentic coding tools (Claude Code, Cursor, Codex) and the Model Context Protocol (MCP) is a plus Experience with web development and containerized software is a plus Strong sales acumen and proven experience partnering with AEs to drive ...

strong emphasis on maintainability, consistency, and developer experience. Hands-on experience designing and integrating AI-powered applications using Model Context Protocol (MCP) servers, LLM APIs, agent workflows, tool orchestration, Desirable Skills/Experience Strong understanding of design token architecture, token governance, and cross-platform token management using ...

live at scale in enterprise with room to grow. Malcolm is in production with Aviva for Home and Life insurance, operating through MCP (Model Context Protocol) and 1st party chat experiences. We have a small engineering team, a clear technical roadmap, and a founder who has deep … lead the engineering team (currently 1-3 engineers), hiring deliberately as the roadmap demands. Work directly with insurer partners on integrations - the commercial context matters here and you'll be in those conversations. Be a genuine co-founder partner to the CEO: product strategy, commercial decisions, fundraising narrative. ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

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 ...

frontier foundation models. You will be a valued member of the AI & Digital Engineering team and work collaboratively with architects, engineers, hyperscaler and frontier model partners, and clients. This is a hybrid technical-leadership role: you'll architect solutions that push what frontier models — large language models, multi-modal … 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 ...

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 workplace … 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 to make ...