76 to 100 of 361 Model Context Protocol Jobs in England

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 ...

embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovationLeverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standardsDesign, build, and deploy intelligent, scalable solutions that integrate machine learning … driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality ...

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 ...

surface an agent is permitted to touch alongside what needs a human to sign it off, and giving scientists a way to describe a protocol and watch it run. A recurring theme is closing the loop, since assuming a command was obeyed is rarely good enough. Depending … Design data models and pipelines for experimental data, sample tracking, and provenance, so that results are traceable from raw instrument output back to the protocol and physical sample that produced them. Work directly with scientists to understand manual protocols, then translate them into automated workflows, iterating as the biologyand ...

agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference optimisation or sequential decision‐making. Experience designing model evaluations and translating research ideas into reliable software. Desirable Experience Experience developing multi‐agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with … fine‐tuning, DPO, GRPO, PPO, RLHF or RLAIF. Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. Experience deploying open‐source language or vision‐language models, including distributed training or GPU computing. Experience applying AI to scientific, engineering, energy ...

adopted safely across engineering teams. Define practical engineering standards for AI-generated code, tests, documentation, technical designs and pull-request contributions. Establish prompt, context and specification standards that improve the quality and consistency of AIassisted engineering outputs. Design and develop bounded engineering agents for activities such as requirements analysis … where priorities can change in response to customer and operational needs. Strong written communication and the ability to collaborate asynchronously. Desirable Experience Experience implementing MCP servers or clients. Experience with agentic workflows or multi-agent systems. Experience designing AI evaluation or governance frameworks. Experience selecting models and tools based ...

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 ...

rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. … production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management ...

/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 ...

Generation (RAG) solutions, embeddings, and vector database implementations. Develop AI Agents and Multi-Agent Systems to automate complex business processes. Apply prompt engineering and context engineering techniques to enhance AI performance. Work with frameworks such as LangChain, LangGraph, and MCP. Deliver scalable solutions using Python ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...