176 to 200 of 726 Model Context Protocol Jobs in the UK

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 ...

driven enterprise projects and Model Context Protocol integration. You will develop automated testing frameworks, evaluation pipelines, and quality controls for MCP components within our AI platform. You will work in a Classic Agile environment to guarantee reliability, accuracy, and performance of agent-driven workflows in enterprise-scale ...

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 ...

framework.Understanding of 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 developing multi-agent systems using LangGraph, AutoGen, smolagents or similar frameworks.Experience with LLM fine-tuning … 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 or geoscience workflows.Why work with us Competitive ...

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 ...

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 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 ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology … teams to implement a business solution Investigate possible bug scenarios and production support issues Recent experience with modern Python Development using Large Language models, Model Context Protocol, & Retrieval Augmented Generation (RAG) architecture Experience developing application in Financial Services industry is preferred What we can offer youWe work ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology … teams to implement a business solution Investigate possible bug scenarios and production support issues Recent experience with modern Python Development using Large Language models, Model Context Protocol, & Retrieval Augmented Generation (RAG) architecture Experience developing application in Financial Services industry is preferred What we can offer ...

analyze and document requirements. Develop Multi Agent Solutions, Copilot Studio (PVA), Canvas apps, Cloud Flows, Desktop Flows, Dataverse artefacts, AI Builder, Business Process Flows, Model‐Driven Apps, and Power Pages. Engage directly with teams within the client and Avanade environments to share knowledge and upskill them. Stay … working with Copilot Studio/Power Virtual Agents. Expertise in Power Automate Flows (both desktop and cloud) and computer use. Experience in Canvas and Model‐Driven App development. Experience working with Dataverse Tables and data formats such as XML and JSON. Competent understanding of Microsoft365, including M365 Copilot Teams ...

fully defined spec.Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving.Who You AreBeyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things … feature impact.Experience designing or running experiments, including A/B tests or betas, to validate product decisions.Experience with browser DOM inspection or automation.Familiarity with Model Context Protocol or building tools for LLM agents.Familiarity with real-time data pipelines or streaming architectures.Accessibility experience.Passion for continuous learning and sharing ...

fully defined spec. Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving. Who You Are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they … designing or running experiments, including A/B tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous ...

guide integration patterns between applications, platforms, and AI servicesMake pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adoptedWork closely with architects, product teams, data scientists, and platform engineers to deliver end‐to‐end solutionsEnsure solutions meet standards for security, resilience, performance … with pragmatism in production environmentsDesirable experience:Integrating software systems with AI platforms or AI‐enabled servicesExposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol)Platform engineering or DevOps at scaleExperience working in regulated or security‐conscious environmentsDefining technical standards or architectural direction across multiple ...

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 ...

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 ...

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 ...

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 ...

call 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.Automate provisioning … 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, problem management, demand ...

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 ...

DeveloperHas breadth of experience across different tech-stacks, such as JavaScript/TypeScript, Java, C#, or Python, amongst othersExperienced in RAG Weaviate, OpenAI, Agents, MCP, Langchain, Prompt Engineering, Browser-Use, and DjangoExperienced building AI Tools, Agents and Agentic workflows (LangGraph, CrwAI)Hands-on Product building experience that cuts across ...

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 ...

orchestration, tool use, and LLM limitations Integration & APIs Experience with REST/GraphQL APIs, authentication, and system integration Experience building reusable services and connectors MCP or similar integration patterns desirable Cloud & Platforms Microsoft Azure experience (AI services, Functions, containers) Exposure to Copilot Studio or similar ecosystems beneficial DevOps & Delivery ...