301 to 325 of 358 Model Context Protocol Jobs in England

Tooling & Security • Support the secure adoption and scaling of AI tools across Bulk. • Manage AI platforms including Claude Code, GitHub Copilot, Codex-style tools, MCP servers, integrations and connectors. • Own user access, permissions and governance, applying least-privilege principles. • Support teams onboarding new AI technologies, balancing innovation and productivity with … security and compliance. • Develop appropriate controls as agentic AI, MCP and connector-based technologies evolve. About You You're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure and cyber security. You enjoy getting hands-on with technology ...

internal tools, and integrations using platforms such as Gumloop, Claude, Workato, Retool, APIs, and lightweight code. Connect workflows with the systems, data, and organizational context they need, including Salesforce, Marketo, data warehouses, and internal knowledge resources. Develop successful prototypes into dependable, reusable systems with appropriate controls, documentation, and measurement. … role. Must be willing and able to commute 5 days in office. Additional Experience That May Be HelpfulExperience with tools such as Gumloop, Claude, MCP servers, Workato, Retool, n8n, Zapier, SQL, Python, or TypeScript. Experience developing or maintaining reusable prompts, agents, templates, or AI-enabled workflows. UK Employee BenefitsVerkada ...

internal tools, and integrations using platforms such as Gumloop, Claude, Workato, Retool, APIs, and lightweight code. Connect workflows with the systems, data, and organizational context they need, including Salesforce, Marketo, data warehouses, and internal knowledge resources. Develop successful prototypes into dependable, reusable systems with appropriate controls, documentation, and measurement. … role. Must be willing and able to commute 5 days in office. Additional Experience That May Be HelpfulExperience with tools such as Gumloop, Claude, MCP servers, Workato, Retool, n8n, Zapier, SQL, Python, or TypeScript. Experience developing or maintaining reusable prompts, agents, templates, or AI-enabled workflows. UK Employee BenefitsVerkada ...

proof-of-value demos (target: under two weeks) with AEs/SEs to accelerate buying decisions Fluent in headless architecture and AI-driven agents (MCP, A2A) - always applied through a data-first lens Long-term trusted advisor to strategic accounts, beyond any single deal 3. Reference Architecture & Technical GTM Build … Data Platforms: Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governance AI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperability Salesforce Platform: Data 360, Agentforce, Agent Builder - deep architectural fluency Integration/BI: MuleSoft, hyperscaler SDKs, Tableau/PowerBI/Looker familiarity ...

Platform team becoming a delivery bottleneck Advance our agent-native engineering model — safe execution environments, credential and secret handling, internal tooling and MCP servers, and evaluation of where agents genuinely improve outcomes Set standards for how the engineering organisation works with coding agents, including review practice, context engineering … when implemented poorly Platform Security: Strong grounding in identity and SSO, workload identity, secrets management, and network policy. You can reason about a threat model directly rather than through a compliance checklist Programming: Strong Python. You build tooling, not only configuration AI Coding Agents: Exceptional practical command of agentic ...

building agents and naturally curious; what matters most is capability in adjacent disciplines such as AI agent orchestration, LLM governance and guardrails, and MCP and A2A, plus the aptitude to build Agent Fabric expertise on the job. MuleSoft's integration and API backbone gives agents the trusted context … bring demonstrated hands-on depth in a related discipline - Agentic technical capabilities such as AI agent orchestration, LLM governance/guardrails or MCP and A2A - with the technical aptitude to ramp quickly into MuleSoft's Agent Fabric. We're hiring for transferable technical depth and fast ramp-up. Customer-First ...

traffic environments Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including …/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture ...

Delivery & Execution: Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standardsCoordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual supportEstablish governance checkpoints appropriate for high-stakes government deploymentsProblem-solve complex technical challenges in air-gapped … 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 ...

permissions, and in ways enterprises can trust. We ship standards and services used by 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 … that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend ...

Forward Deployed Engineer, Manager -London Hands-on with AI agents and AI-powered workflows (MCP, Agent APIs, LLMs/RAG) — building and deploying AI integrations for customers. About the Role Lead a team of Forward Deployed Engineers to design, build, and deliver complex, production-ready Notion integrations, agents, automations … scaling Forward Deployed Engineering or professional services functions in startups or high-growth companies. Experience deploying AI agents and designing AI-powered workflows (MCP, Agent APIs, LLM applications, prompt engineering, retrieval/RAG, workflow orchestration). Experience with ETL/ELT workflows, schema mapping, validation scripts, and large-scale migration ...

example C++, C#, or Java) who are ready to work across our stack as it evolves. Solid understanding of Kubernetes internals: the control loop model, CRDs, controllers and operators, and reliable reconciliation logic. Comfortable working close to the infrastructure layer: Linux, networking fundamentals, and distributed systems behavior. Experience designing … helps us match you to the right one: Fluency with AI‐assisted development: agentic CLI tools, IDE assistants, and orchestrating multiple coding agents through MCP, skills, or APIs to amplify delivery. Depth in Go or Rust beyond working proficiency. Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel ...

data distribution, supporting access to data through multiple channels. Design and build new access points for our data, such as APIs, analytical services and MCP connectors. Run services on AWS, with infrastructure in AWS CDK shipped via CodePipeline. Productionise code from the data and quantitative teams. Occasionally contribute changes … management. Nice to have Infrastructure as code (CDK in TypeScript, or Terraform). React/TypeScript, or comfort in a polyglot repo. LLM or MCP integration and AI-facing tooling. Financial-data or regulated-environment background. Experience we’re looking for We care more about what you’ve owned than ...

manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape … patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. Software Engineering & API Design: Strong development background (ideally Java/JavaScript) coupled with robust API design, documentation ...

J.P. Morgan is seeking an Applied AI ML Lead for the LLM Suite Engineering to design and deliver production-grade AI/ML and agentic solutions that integrate with existing systems. You will own technical ...

across Moody's business services, making capabilities consumable by AI agents. You will define how capabilities are exposed and packaged for agent consumption, evaluate MCP and MCP App options, and build prototypes for client validation. You will collaborate with Legal, Compliance, and Risk to ensure regulatory alignment, and drive data ...

environments, translating business and client needs into product or technical requirements Experience defining business or technical requirements for agentic systems and interoperability protocols (e.g., MCP, A2A) Demonstrated ability to partner effectively with Liquid AI, engineering, and product teams to shape and prioritize a roadmap from a business and commercial perspective … flexibility to adapt scope as Circanas approach to agentic technology continues to evolve Fluency in English (required) Preferred Familiarity with protocols such as MCP, A2A, and AgentUser Interaction Protocol (AG-UI) Familiarity with major AI agent ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) from a business or strategic ...

environments, translating business and client needs into product or technical requirements Experience defining business or technical requirements for agentic systems and interoperability protocols (e.g., MCP, A2A) Demonstrated ability to partner effectively with Liquid AI, engineering, and product teams to shape and prioritize a roadmap from a business and commercial perspective … flexibility to adapt scope as Circanas approach to agentic technology continues to evolve Fluency in English (required) Preferred Familiarity with protocols such as MCP, A2A, and AgentUser Interaction Protocol (AG-UI) Familiarity with major AI agent ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) from a business or strategic ...

agent actively probes and exploits standing permissions rather than stumbling onto them. That removes the "security through obscurity" cushion humans relied on. Familiarity with MCP as an integration/onboarding standard, and at least one agent harness (Claude Agent SDK preferred). Experience with just-in-time, task-scoped delegation … requiring a full Active Directory cleanup first. Define the currently undefined agentic runtime security model: containerised code execution, permission delegation to agents, and MCP-based tool access. Lead the transition from long-lived secrets toward ephemereal, time-based, risk-scored credentials, scoped to task duration and issued ...

ambiguous business requirements into clear and compelling technical solutions and providing solutions and ideas on the spot. Strong enterprise integration knowledge across APIs,SSO, MCP, data warehouse. Hands-on experience with LLMs and agentic systems, whether through prompt engineering, tool calling, evaluation or agent orchestration. Strong judgement when assessing technical … entirely; the natural progression of what we’ve been building toward. The product is highly differentiated. It’s built around a structured workforce data model that makes AI reliable in an HR context, something no one else has gotten right. Customers notice the difference immediately. We’re backed ...

Security, including AI‐integrated APIs and model endpoints. Data protection, secure key management and data classification principles. AI tool and agent security, covering MCP server governance, tool approval workflows and session management. Cloud‐native architectures and distributed systems design patterns. Skills and Competencies Strong skills in technical documentation, architecture ...

treats that as part of the job, not a side project. What you will do Conduct in-depth analysis of client needs and context, identify where AI delivers real value, and challenge stakeholders to develop solutions that address the actual problem rather than the surface symptom Design, formalise … 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 ...

existing and emerging product lines, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API as an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across … right. Beyond internal embedding and direct commercial sales, the platform is open — customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define ...

suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced Figma's MCP, accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design … production. Join us in shaping the future of AI at Figma! What you'll do at Figma: Build and evolve Dev Mode our MCP tools and Make -, Figma's leading tools for dev/design collaborationTake part in building new 01 products within the agentic coding spaceCollaborate with designers ...

rapidly adapt to new stacks. Hands-on experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing skills, configuring MCP servers, and using AI tooling as part of daily development workflow. Understanding of AI-native development practices: prompt-first workflows, AI pair programming, agent-assisted … templates, pipeline components, and automation scripts that are made centrally available to engineering teams. Implement Claude Code (or equivalent agentic CLI tooling) skills and MCP servers based on designs from senior team members — testing, documenting, and iterating based on squad feedback. Support the golden path tooling: maintaining project templates, updating ...

evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third‐party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM‐powered enrichment steps, and a focus on improving data quality. Experience … expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. ...