201 to 225 of 266 Model Context Protocol Jobs in London

team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production‐grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. … startup or high‐growth environment. Experience deploying AI agents in complex coding or business workflows. Experience designing or implementing AI‐powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration. Experience with ETL or ELT workflows, schema mapping, validation scripts, and large‐scale content ...

technical decisions, unblock delivery, and build trust with senior customer stakeholders.The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance.You … startup or high-growth environment.- Experience deploying AI agents in complex coding or business workflows.- Experience designing or implementing AI-powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration.- Experience with ETL or ELT workflows, schema mapping, validation scripts, and large-scale content ...

guardrails, and policies. Rapidly prototype agentic flows hands-on: orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … 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 ...

guardrails, and policies. Rapidly prototype agentic flows hands-on: orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … 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 ...

guardrails, and policies. Rapidly prototype agentic flows hands‐on: orchestration across specialised sub‐agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … 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 ...

enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals. … communication skills, with the ability to influence both technical and executive audiences. Nice-to-have Lakehousearchitectures. Semantic technologies or knowledge graphs. Event streaming platforms. MCP or AI integration frameworks. Financial services orRegTechexperience. Comply is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race ...

products, developer tools, coding assistants, agents, or LLM-based workflows. Strong understanding of how modern coding agents operate, including tool calling, context management, MCP, and evaluation techniques. A track record of driving technical direction in ambiguous and rapidly evolving areas. Strong product instincts and an ability to balance innovation ...

layer — evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration — that applications and MCPs wrap around. Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market. What good looks likeMust-haveBachelor's degree in computer … regression testing, or experiment frameworks for AI, machine learning, or agentic workflowsNice-to-haveExperience with tool-using systems, retrieval, evaluation pipelines, agent orchestration, or MCP-style integrations. Experience building expert-facing interfaces, workflow products, or technical demos that had to stand up in front of real users. Experience packaging desktop ...

maintain, and prioritize the product backlog across functional and non-functional requirements — covering the Integration Fabric, Knowledge Graph, Search, Permissions, Governance, Observability, APIs, and MCP layers Author clear, well-groomed user stories with defined acceptance criteria; lead sprint planning, estimation, retrospectives, and scrum-of-scrums ceremonies Work closely with engineering … business AI Enablement Ensure the Knowledge Repository provides structured, confidence-scored, and permission-aware knowledge to enterprise AI tools and platforms via APIs and MCP interfaces Collaborate with AI and data science teams to ensure knowledge assets are machine-interpretable — linking structured enterprise data with unstructured business content across ...

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 ...

build, operate, and improve them, including on-call responsibility Deliver infrastructure as code using Terraform, Helm, and ArgoCD, with GitOps as the default operating model Build and maintain developer experience tooling: onboarding templates, CI/CD pipelines, local … 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 ...

scope and sequence at pace Drive our agentic commerce agenda: extend our live agent-initiated checkout channels and build the commerce layer (APIs and MCP) that lets AI agents discover, query and transact against our catalogue Open the platform to brands and operational partners: integration surfaces (APIs and MCP … humour and self-awareness, thriving in a feedback-driven, growth-oriented culture Highly desired: Hands-on experience building with LLMs, such as prompt engineering, MCP or commerce protocols, agent integrations, or designing eval suites for AI features Experience with retail media, marketplace advertising or feed-based distribution channels Experience with ...

IndyKite is a pioneer in data trust and AI enablement, building the trust and decision layer for enterprise agentic AI. Powered by a live context graph, the IndyKite platform brings deep contextual intelligence, identity-centric security, and fine-grained authorization to enterprise data - enabling organizations to deploy … Have: AI Skills: Experience developing AI agents using Python LLM & AI Standards: Familiarity with LLM integration patterns (e.g., RAG) and emerging standards like MCP for data connectivity and A2A for multi-agent orchestration Why IndyKite? Category Creation: The chance to define and build a brand-new market category from ...

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 ...

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 ...