226 to 250 of 266 Model Context Protocol Jobs in London

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 ...

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. ...

Data Models. Work closely with Domain & Enterprise architects to agree on various critical architecture design decisions which in turn drives/impacts the data model/data architecture. More about you: An experienced Data Architect with a passion for creating order within reporting structures for Democratised usage at Enterprise … with different modelling methodologies - 3NF, Dimensional and Data Vault Abreast of the latest industry developments across data (Medallion Architecture, Data Mesh, Generative & Agentic AI, MCP, etc). Strong communication and influencing skills used to drive the implementation of data design best practice at the Engineering and Product Manager levels within ...

client experience through faster reporting and richer performance insights without increasing operational overhead. They will also design an automation architecture based on an MCP-first approach that allows tools to be replaced easily, new agents to be introduced rapidly, and the platform to evolve with changing technology. The CPO will … infrastructure into the network's primary activation capability. They will develop a unified activation layer that provides a consistent data model and buying interface across paid social and programmatic environments while managing strategic technical partnerships, API integrations, certifications, and evolving industry standards. Navigator's first-party data represents ...

level, communicating progress, risks, and recommendations confidently to technical and non-technical stakeholders Drive adoption of GenAI tooling within the team, including Playwright with MCP, GitHub Copilot, and Claude Contribute to internal QE community initiatives and help define team standards and best practices What We’re Looking For A strong … ability to build and assess automation frameworks, not just use them Hands-on experience with GenAI in a QE context (e.g. Playwright with MCP) and AI-assisted coding tools (GitHub Copilot, Claude) Proven ability to define tooling strategies and automation frameworks, and to conduct structured QE assessments across client ...

bring. Build the data layer our agents act on: help connect our data to the AI agents and services we're building, including through MCP connectors, so they get the right context at the right time. Shape what we build: work with product and other stakeholders to scope problems … have, not essential : Experience working on customer-facing data integrations such as HRIS or payroll feeds via SFTP and in EDI format Experience with MCP server development , or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. ...

teams, and implement robust evaluation and memory strategies to ensure safe, scalable AI delivery. The role emphasizes context pipelines, memory architectures, and enterprise MCP integration, with a focus on responsible AI and regulatory compliance within a high-trust financial services setting. #J-18808-Ljbffr ...

engineering (security, compliance, scalability) and support customers and partners through implementation. Establish success metrics for integrations and iterate based on real usage. API/MCP Own the product direction for Xapien's configuration API and MCP capabilities — how customers and AI agents programmatically configure, run, and consume Xapien research. Drive ...

unauthorised exfiltration of sensitive information across network, cloud, endpoint, and AI-integrated environments. Extend data classification and DLP coverage to AI ensuring training datasets, model inputs and outputs, and inference logs containing sensitive data are subject to the same controls as the broader data estate. Lead the engineering … security risks — including training data exposure, model inversion, prompt injection, and the data privacy implications of generative AI and agentic workflows such as MCP-integrated platforms. Collaborative by default, with a track record of partnering with IT, software engineering, and privacy teams to deliver data security outcomes that enable ...

journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. Drive adoption of the Claude Code capabilities that make the product stick … agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs ...

e.g., Kubernetes) Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: Experience as a founder … early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots ...

delivery of Quality Engineering strategies. Manage project-level client relationships and communicate progress, risks and recommendations. Drive adoption of GenAI tooling, including Playwright with MCP, GitHub Copilot and Claude. Contribute to internal QE communities, standards and best practices. Experience you'll need as a Quality Engineering Manager Several years experience …/TypeScript, Python, Java or C#. Experience building and assessing automation frameworks, not just using them. Hands-on experience with GenAI in a QE context and AI-assisted coding tools. Experience defining tooling strategies and conducting QE assessments. Experience leading or mentoring QE or automation engineering teams. Strong client ...

jobs Vercel does for many customers through the Solutions Architecture function. On your accounts, you do them deeper, more often, and with sustained context that a generalist SA can't match. The best TAMs save customers more than the cost of the engagement through this work alone. Scope … tools company (AWS, Cloudflare, MongoDB, Snowflake, Datadog, GitHub, etc.). Have hands‐on experience with AI agent development, particularly using the Vercel AI SDK, MCP servers, or similar frameworks. Have led FinOps or cloud cost‐optimization engagements at scale. Have run an annual technical roadmap workshop or “Well‐Architected Review ...

able to defend it in a code review. Think in terms of workflows rather than single prompts. That means investing in the context these tools work from, whether that is repository level instructions, reusable skills or a shared knowledge base, so the output stays consistent and other people … involved in connecting tools together, for example bringing design tools such as Figma into the development flow, or wiring our own systems up over MCP so an agent can do something useful end to end. Strong TypeScript knowledge. Strong React knowledge. Experience with state management libraries, such as Zustand. Ability ...

London Stock Exchange Group is seeking a Lead ML Engineer to shape the next generation of enterprise AI platforms. You will design MCP servers and tools that expose internal systems to AI agents, implement skills that orchestrate tools and data, and collaborate with product teams to ensure governance, security … scalable performance across the MCP ecosystem. The role emphasizes building and integrating agentic capabilities with LSEG AI Assist, QAS, and MCP gateway, while working with #J-18808-Ljbffr ...

agency, entrepreneurial approach and experience building something from zero Experience as a technical founder or CTO, working within a frontier AI partner ecosystem, developing MCP or enterprise tool integrations, or operating within a forward-deployed model would be particularly valuable. This is a rare opportunity to define what outstanding ...