601 to 625 of 724 Model Context Protocol Jobs in the UK

harness 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 science … 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 applications ...

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 ...

scale their impact.We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work with these tools. You know how to drive an agent … Java to move models from research to productionApply sound feature engineering, validation, and evaluation practices throughout the modelling lifecycleDiagnose production ML issues such as model drift or long-tail classification problemsCommunicate technical trade-offs clearly to engineering and cross-functional partnersWhat experience would help someone be successful in this ...

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 ...

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 ...

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 ...

configuration and maintenance of AI tooling such as Claude Code, GitHub Copilot, Codex-style coding/agent tools and similar technologies.• Manage AI integrations, MCP server configuration and connectors.• Manage user access, permissions and governance, applying least-privilege principles to AI tools and integrations.• Partner with teams onboarding … tools, balancing productivity and innovation with security and compliance.• Help establish appropriate access controls and security practices as agentic AI, MCP and connector-based technologies continue to evolve.About YouYou're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure ...

automations, 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.Assess adoption … 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 is committed to fostering ...

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 ...

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 ...

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 ...

team's workflow, and the moments that earn trust.Work at the frontier of the stack: reason with Engineering about models, context, tools like MCP, and orchestration, and where each one changes the product.Accelerate your own output with AI: use AI tools actively across research, synthesis, prototyping, and analysis, always … grown products people love.Real fluency with how modern AI products work. You are familiar with evals, agentic workflows, context, and tools like MCP, and you have clear judgment about where AI earns its place and where it does not.A systems thinker. You see how the pieces fit together ...

workflow, and the moments that earn trust. Work at the frontier of the stack: reason with Engineering about models, context, tools like MCP, and orchestration, and where each one changes the product. Accelerate your own output with AI: use AI tools actively across research, synthesis, prototyping, and analysis, always … grown products people love. Real fluency with how modern AI products work. You are familiar with evals, agentic workflows, context, and tools like MCP, and you have clear judgment about where AI earns its place and where it does not. A systems thinker. You see how the pieces ...

model selection, prompt/agent design, evaluation, and responsible-AI/risk controls; own the shared AI platform strategy (including governance of the MCP/data layer) Act as the primary interface to the AI Leadership Council — reporting progress, and escalating risk or resourcing gaps Establish the embedded … especially in a regulated or data-sensitive context Experience working with or overseeing agentic AI, LLM-based tooling, or integration frameworks (e.g., MCP) Executive presence: comfortable setting strategy with C-suite and travel/operations stakeholders alike Executive-level communication and stakeholder management capabilities Most importantly, you know ...

actually be doing? Use AI coding agents to investigate, refactor and modernise legacy codebases Design the "engineering harness" that gives AI agents the right context … rules and constraints to work effectively Build repository-level instructions, agent skills, prompts and dynamic context Work with technologies such as Claude Code, MCP and other agentic development tools Establish automated testing and AI evaluation frameworks (evals) to make sure speed doesn't come at the expense of quality ...

three key areas:1. Understanding AI use cases and emerging technology:Stay informed about the AI industry landscape, encompassing areas such as models, agents, MCP, retrieval, evaluation, coding assistants, workflow automation, AI safety tooling, and vendor offerings.Gain comprehensive insight into the ways Arm engineers apply AI today. Identify where safe … adoption patterns.2. Evaluation, prototyping and demonstration:Explore safe and secure patterns for the usage of core AI technologies - including skills, agents, RAG pipelines, MCP gateways, workload isolation, secrets management, LLM gateways and more.Evaluate, prototype and implement technology solutions that provide the controls, guardrails and observability needed for Arm engineers ...

hybrid leadership role. The successful candidate will lead a small senior team of data scientists and quantitative developers while remaining hands on in model design, code review and client facing technical work. Reporting directly to the Chief Product Officer, the role sits at the centre of product strategy … role has global reach. Models and infrastructure built by this team will underpin analytic, data and content products delivered to enterprise clients through API, MCP, feed and web channels. How You’ll Make an Impact: Quantitative Strategy and Model Development Set the quantitative agenda for Fitch Solutions: define which ...

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 ...

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 integrationsArchitect 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 outcomesPartner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levelsMentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity ...

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 ...