76 to 100 of 118 Model Context Protocol Jobs in the UK

ethical useNice to have: strong knowledge of AI/ML techniques with experience delivering related work into production previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries strong understanding of data fundamentals and their python implementations (numpy, polars, scipy)About usUBS is a leading ...

platform with confidential financial data. What you'll do Build data-heavy, accessible interfaces in TypeScript and React, respecting a detailed role-based access model Design services and REST APIs in Python (FastAPI/Django) with clear OpenAPI contracts Model data in PostgreSQL: schema design, migrations, indexing … Code or similar) and a considered view on where they help Nice to have Next.js/Node.js, LLM product work (streaming, LangChain/LangGraph, MCP), Celery, Redis, OpenSearch, Kubernetes or Terraform, and financial-services or regulated-environment experience. What's on offer Close work with a leadership team with 20+ ...

technical governance, adoption and stakeholder influence, with an initial focus on landscape assessment, evaluation and standards before moving towards a more embedded, forward-deployed model with delivery teams. Key Responsibilities Lead horizon scanning across the AI tooling landscape and translate emerging capabilities into practical opportunities. Define and promote … practice. Desirable Experience Strong software engineering background within large-scale production environments. Experience with platforms such as AWS Bedrock, Azure OpenAI, AI gateways, MCP gateways or model-routing services. Knowledge of authentication, model access and cost optimisation. Experience evaluating AI tools and techniques using structured testing and measurable ...

solid grasp of statistics, experimentation and feature engineeringExperience with modern ML infrastructure on a major cloud platform, ideally AWS, covering distributed data processing, orchestration, model management and infrastructure as codeHands-on experience shipping agentic or LLM-based systems, including agent orchestration frameworks, tool use, RAG, and fine-tuning where … Terraform, GitHub Actions for CI/CDModels: foundation models served through Amazon BedrockAgents: LangGraph for orchestration, deployed and run on Amazon Bedrock AgentCore, with MCP for tool integrationEvaluation: Braintrust for evals, tracing and monitoring agent quality in productionMore information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work ...

designing bespoke architectures, writing code, and engineering prompts to deliver tangible business outcomes. You will leverage Docusign's IAM Platform, Docusign and third Party MCP servers, APIs, and third party integrations with leading AI ecosystems (like OpenAI, Microsoft CoPilot, and Claude) to optimize enterprise agreement lifecycles against contract populations exceeding … Agreement Management business processesDesign, build, and deploy AI enabled workflows and solutions that integrate Docusign AI capabilities including but not limited to, Docusign's MCP Server and APIs, Docusign Web Forms backed by APIs to third party systems, Custom Extractions, Docusign skills in 3rd party agentic platforms (e.g. Docusign ...

balance model performance, reliability, security and operating costs in production systems Desirable skills include: Qdrant, Weaviate or pgvector Neo4j, GraphRAG and Cypher MCP server development LangSmith, LangFuse or similar observability platforms Fine-tuning, embedding model selection or open-weight model deployment Experience working with complex document-heavy ...

secure, observable, reliable and reusable by default. You will also contribute to the production foundations needed to operate AI capabilities reliably, including LLMOps, model access patterns, prompt and agent lifecycle practices, evaluation, observability and secure enterprise integration. This is a hands-on engineering role where the capabilities you build … evaluation practices for agent configurations, prompts and AI workflows, including testing, controlled change and release readinessDesigning secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integrationContributing to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback loopsContributing ...

high-profile programme building next-generation AI, agentic systems and data platforms. You'll be responsible for developing scalable backend services in Python, building MCP servers and AI-powered workflows, and delivering modern front-end app click apply for full job details ...

competent proficiency (required).AI interest and foundations: a deep interest in bringing AI solutions to clients, with an understanding of technical concepts such as MCP, Digital Brain and Retrieval Augmented Generation (RAG) as an ideal foundation.Communication: excellent communication skills, able to work effectively alongside Senior Solution Architects.Team contribution: the ability ...

quality, and maintainability considerations. Essential Skills & Experience Active SC Clearance (essential). Strong hands-on experience building and deploying agentic AI solutions. Expertise in model selection, prompt engineering, agent orchestration, and tool integration. Experience applying AI across the Software Development Lifecycle … including code generation, testing, documentation, code review, and modernisation activities. Practical exposure to AI engineering tools such as GitHub Copilot, Claude Code, Codex, Kiro, MCP, or similar technologies. Proven track record defining and implementing engineering standards adopted across multiple teams or programmes. Strong stakeholder engagement skills with the ability ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact … Senior GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, SDKs and AI-assisted coding toolsA Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience ...

generate and refine Playwright tests rather than relying exclusively on manually written scripts. Understanding of effective prompting and providing appropriate application context to AI tools. Ability to critically assess AI-generated code and identify incorrect assumptions, incomplete coverage or unreliable tests. Enthusiasm for experimenting with new AI capabilities … code generation, tracing and debugging capabilities. Experience using AI agents or browser automation agents to explore applications and generate tests. Experience with Playwright MCP or similar AI-enabled browser interaction tools. Familiarity with API testing and combining API and UI validation. Experience with accessibility testing. Experience testing complex ERP, automotive ...

want to talk to you! Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels … Agentforce and deep fluency with D360 and core Salesforce platform services. Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross-Platform Background - Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows ...

experience with C# ideally Python experience Entra experience Azure Cloud experience - including Azure functions such as Service Bus, Azure DevOps AI Foundry API MCP Frontier AI tools and Models Large Language Models SQL DevOps understanding/experience Retrieval Augmented Generation (RAG) Desirable experience: Experience with other cloud platforms Azure certifications … Solutions Architect, AI Foundry, Azure, AZ-305, AZ-104, AI-103, TOGAF, Zachman, Python, C#, Agile, Azure AI, Agentic, OpenAI, LLM, Integration, API, MCP, Retrieval Augmented Generation, RAG, SQL, PostgreSQL, DevOps, Azure Functions, Service Bus, Cosmos, Solutions Architect, AI Architect, AI Solutions Architect, AI Foundry, Azure ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

excellence. About the Team Platform Products is responsible for building shared capabilities that can be leveraged across the organization. We operate a product-led model focused on identifying common business needs, building reusable solutions once and enabling business units to adopt them at scale. At the heart of this … Make Fitch's data AI-ready. Expose entities and relationships to LLMs and AI agents through graph services, APIs and emerging protocols such as MCP, with the metadata and provenance that let agents discover, navigate and trust them. Define and track data quality measures such as accuracy, coverage, fill rates ...

PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including ...

PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including ...

technical and forward-thinking Principal Architect to lead AI-enabled architecture strategy focused on areas such as: Agentic Security and Agentic Platform Enablement, including MCP ecosystem AI-led Global Servicing and Conversational Technology Low-Latency and Critical Payment platforms API and Architectural Best Practices In addition to technical areas … enterprise standards, AI and automation, and horizontal influence. ResponsibilitiesDefine and advance the AI and agentic platform architecture strategy, including a focus on Agentic security, MCP ecosystem enablement, and flexibility of expansion to SaaS providers, while also allowing for maturing home-grown AI capabilities. Support architecture needs across Global Servicing & Corporate ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

Support the adoption of modern data-engineering methods and best-in-class tooling Integrate data toolchains with internal systems using API-driven approaches, including MCP Establish secure, standardised best practices across data warehousing, integration and AI tooling Define inter-system data flows, architectural roadmaps and governance standards Ensure solutions comply … Lambda, plus familiarity with Azure Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP Familiarity with Tableau, GitHub, Jira, CI/CD and Agile delivery Strong knowledge of architectural governance, requirements gathering and end-to-end data-flow design ...

event-driven integration (e.g. API gateways, service contracts, event streaming) and enterprise GenAI (e.g. foundation model gateways, agent-to-tool protocols such as MCP and A2A, agent identity and guardrails). You must have deep, hands-on experience with at least one API/integration gateway platform (e.g. Kong … possibilities of a contract-first integration layer and a governed GenAI platform, i.e. API and event-driven architecture, agent-to-tool protocols such as MCP and A2A, and a single enterprise front door for foundation models. Finding great answers to complex and ambiguous questions, and connecting and collaborating across teams ...