51 to 75 of 266 Model Context Protocol Jobs in London

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. ...

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 ...

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 Lead … team of AI engineers and architects, building technical capability and clear career pathways within the practice Own technical relationships with hyperscaler and frontier model partners (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI) to stay ahead of platform capability Drive reusable accelerators, frameworks, and IP that ...

security‐conscious environment. Reporting to senior leadership, you will own the end‐to‐end platform architecture for agentic AI systems, spanning runtime orchestration, governance, model and tool integration, multi‐tenancy, production deployment, and operational lifecycle management. This is a hands‐on technical leadership role. You will write and review … production lifecycle management Lead hands‐on architecture and development of scalable agentic systems, including multi‐agent coordination, A2A communication, memory governance, tool calling, Model Context Protocol, human‐in‐the‐loop workflows, and autonomous decision‐making patterns Drive model and platform integration strategy, enabling model‐agnostic ...

machine learning to real business problems, ideally including agentic or LLM-based systems. Strong grasp of modern platforms: cataloguing and metadata, semantic and context layers, and data quality across structured and unstructured data. A track record of influencing senior business and technology stakeholders and translating between them. Systems … enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms ...

enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms … pushing back on scope, proposing better alternatives, and protecting quality and team capacity when it counts. You stay current as the tooling and model landscape shifts, and you help the people around you do the same. "I can apply in less than 4 minutes." You've reviewed this ...

technology investment decisionsAct as the single point of accountability for post-sales technical strategy and architectural decisions for flagship accountsAI, Agentic Automation & Enterprise MCP StrategyShape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystemAdvise on the design and adoption of agent-based workflows, human … loop models, and decision automationPartner with customer executives to define enterprise MCP (Model Context Platform/orchestration) strategies, including: Context management across applications, data, and workflowsSecure orchestration of AI agents and automationsGovernance, observability, and lifecycle management for AI-driven systemsAlign AI and agentic initiatives with enterprise security ...

with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation techniquesPrevious success in integrating GenAI solutions into enterprise-scale systemsWhy Join CapcoDeliver high-impact technology ...

coding assistants such as ChatGPT, Claude, Gemini, GitHub Copilot or Codex. Awareness of agentic engineering approaches, AI-assisted workflows and tools such as Model Context Protocol would be advantageous. Experience working with AWS, managed databases and DevOps practices, including Git, GitHub, code review, CI/CD, deployment ...

CLIP and CLAP) across diverse, real-time sensor streams. To succeed, you must possess strong architectural intuition, deeply understanding the technical compromises inherent in model selection and able to identify the optimal agentic design pattern for specific tasks Your responsibilities will include: Building core agentic product features; researching, planning … foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders ...

patterns like ReAct, self-reflection, and hierarchical delegation. Experience in a post-sales or technical consulting delivery function. Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As an AI Forward Deployed Engineer … business problems. Responsibilities Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment. Architect and code the "connective tissue" between Google’s AI products and customer ...

Software Engineer (Mid) to lead the development of agentic AI applications, moving rapid prototypes into production-grade workflows, including multi-agent systems and model context protocol servers. You will connect Google’s AI products with customers’ live infrastructure, design scalable APIs, and help raise ...

Moody's is seeking an Associate Director-Product Manager to lead strategy, development, and delivery of AI-enabled Model Context Protocol products in a London context. You will own the roadmap, define requirements, and partner with engineering, design, data, security, and strategy teams. Ideal candidates have extensive ...

strategies and roadmaps to accomplish business outcomes. Maintain a strong information security and responsible AI posture, ensuring risk mitigation and adherence to data protection, model governance and applicable regulatory requirements. Qualifications What you’ll bring Extensive technology experience. The ideal candidate will demonstrate hybrid expertise in engineering and technology … constraints and proven hand in navigating variable regional requirements in the implementation of centralized enterprise assets. Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. Practical experience designing, building and deploying ...

patterns, governance, and delivery support.CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way.The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.LSEG AI Assist/Internal MCP ...

understand business challenges and identify AI transformation opportunities Design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities Lead technical discovery workshops, architecture design sessions, POCs, technical validation, and production deployment planning Work with customer engineering teams during … complex technical issues and optimise AI application performance in enterprise production environments Design scalable enterprise AI architectures using LLMs, Prompt Engineering, RAG, AI Agents, MCP, fine-tuning, inference optimisation, vector databases, API integration, workflow orchestration, and cloud-native AI services Collaborate with Product, Engineering, and Research teams to translate customer ...

constraints and proven hand in navigating variable regional requirements in the implementation of centralized enterprise assets. * Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. * Practical experience designing, building and deploying … extensions. * Hands-on experience integrating with large language models via APIs, including tool use, governed data access and emerging interoperability patterns such as the Model Context Protocol. * Strong understanding of generative AI engineering fundamentals, including: o Prompt engineering and context design. o Context engineering, retrieval-augmented ...

automate engineering workflows such as testing, code reviews, documentation, operational support, and data quality monitoring. Familiarity with AI interoperability and orchestration protocols such as MCP, A2A, or similar frameworks. Experience influencing technical strategy across multiple teams and driving organization-wide engineering improvements. Why Choose Fitch: Work-Life Balance First ...

/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What’s on offer Up to £82,000 salary Annual performance bonus 28 days' holiday plus ...

patterns, governance, and delivery support.CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way.The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.LSEG AI Assist/Internal MCP ...

software engineering foundations, including version control, automated testing, and monitoring; Nice to have: Experience with agentic AI systems, GenAI and LLM systems in production, MCP, MLOps pipelines, real-time or streaming systems. Условия Competitive salary and company bonus scheme; Group pension scheme; Group healthcare and life assurance scheme; Hybrid working ...

Kubernetes, CI/CD, and major cloud platforms Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks Agentic/Integrations: MCP, Salesforce/SAP/Other Excellent communication with both technical and executive stakeholders Mentorship capability and collaborative team-first mindset BS/MS/ ...

Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability ...