101 to 125 of 722 Model Context Protocol Jobs in the UK

platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. We\'re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers ...

platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. Why You’ll Love This Role You will build and lead the AI engineering capability for two of the most ...

internal data sources. Develop reusable tools and services that AI agents can invoke for retrieval, investigation, analysis and workflow execution. Apply RAG/context retrieval where regulatory documents, historical knowledge or issue repositories need to be searched. Implement confidence scoring, validation, guardrails and traceability for AI-generated outcomes. Build … advantageous. Familiarity with regulations such as EMIR, MiFID II or SFTR is a plus. Nice to Have Model Context Protocol (MCP) and reusable agent tool interfaces. Knowledge Graph/Graph RAG or data-lineage concepts. Vector databases, hybrid search or re-ranking. AI observability and evaluation frameworks. ...

practices.Working knowledge of LLM application patterns - prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling.Familiarity with MCP (Model Context Protocol), Agent to Agent(A2A) Agent Skills and architectures that connect models to tools/data through standardized interfaces.Overall knowledge … evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming).Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems.Experience with AWS Bedrock, SageMaker (or equivalent managed ML/ ...

features or entire components across their complete lifecycle from conception to production supportMake commercially aware technical decisions by weighing engineering trade-offs in the context of business commitments, delivery timelines, and customer impact, not just technical purityLead technical discussions and influence architecture decisions within team systems and components, with … interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflowsExpertise with advanced monitoring and APM strategies using Datadog, including custom dashboards and alerting ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … with automation and workflow orchestration for operational efficiency. Published contributions to open‐source or industry‐recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI‐powered coding ecosystems with enterprise ...

assisted coding tools and AI-powered development ecosystems.Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs.Required Qualifications, Capabilities, and Skills:Formal training or certification on software engineering concepts.Hands-on experience with … Data platforms.Experience with automation and workflow orchestration for operational efficiency.Published contributions to open-source or industry-recognized projects.Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling.Experience enhancing AI-powered coding ecosystems with enterprise-specific ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise ...

develop robust, scalable, and maintainable automated test frameworks Collaborate with product managers, machine learning engineers, and data scientists to translate AI features and model behaviors into test cases and validation criteria Improve testing processes and infrastructure, integrating automated checks into CI/CD pipelines Identify, document, track, and analyze … challenges of testing generative AI outputs Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP) Experience with AWS, Azure, or GCP and Docker or Kubernetes in a CI/CD environment is a big plus Exceptional analytical skills and keen ...

cross-functional teams (product, design, QA) to deliver comprehensive solutions that meet business objectives· Influence technology choices based on deep technical understanding and business context· Lead team Agile ceremony facilitation to drive continuous process improvements, and establish team practices that enhance delivery predictability· Proactively identify and inspire resolution … interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows· Expertise with advanced monitoring and APM strategies using DataDog, including custom dashboards and alerting ...

also have a genuine interest in emerging AI technologies, with exposure to LLMs and integrations using Model-Context Protocol (MCP) and Agent-2-Agent, ideally including the Gemini Enterprise Agent Platform. A creative, problem-solving mindset and experience of working in an Agile team will help … toolkit Working knowledge of Kubernetes, particularly Google Kubernetes Engine Familiarity with Cloud Armor and Model Armor for platform and AI protection Understanding of MCP and A2A concepts and how they integrate with LLM services Relevant Google Cloud Platform professional qualifications The ability to apply new AI technologies to real ...

quality expectations, refresh, and change management. Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read and write‐back. Embed data protection and security into the architecture, including consent, retention, minimisation, and cross … fluent, with practical experience of AI tooling and an understanding of machine‐readable definitions, agent access patterns, and Model Context Protocol (MCP) over structured data. Essential Hands‐on design of data for commercial decisioning, including pricing or revenue management and marketing measurement, with deep capability ...

standards and patterns needed to support current and emerging AI approaches, including Generative AI, RAG, agentic AI and Model Context Protocol (MCP).You will work with senior stakeholders, Data Owners, Data Stewards, Data Custodians, Data Governance, Enterprise and Business Architecture, Data Solutions, Cloud & Platform, IT Assurance, delivery … practical experience of modern and emerging Data and AI technologies and architecture patterns, including LLMs, Generative AI, RAG, semantic/vector capabilities, agentic AI, MCP, cloud data platforms and related integration technologies, with an understanding of Python or similar technologies for prototyping and evaluation.Portfolio & Agile Alignment: Experience aligning Data ...

project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Lead AI Engineer (Python LLM MLOps) opportunity. ...

leadership to convert complex requirements into a compelling product vision, an actionable roadmap, and measurable customer outcomes. This role follows a hybrid working model, with an expectation to work from our Reading or London office as required.Only Oracle brings together the data, infrastructure, applications, and expertise to power everything … monitoring emerging technologies and industry trends, including AI model development and evaluation, RAG, AI agents, agent frameworks, Model Context Protocol (MCP), and enterprise AI governance.–Builds familiarity with scientific computing, laboratory systems, research-data workflows, and related technologies where relevant to customer use cases.–Champions continuous ...

reshape how software is designed, built, tested and delivered. These roles will work across strategic product transformation, cloud and data platforms, enterprise AI services, context and knowledge engineering, quality, experience design and AI-enabled developer tooling. The Role We are looking for an AI Developer Tooling Lead … GitHub Enterprise administration (org policies, SAML/SCIM, Actions) AWS account management, IAM, cost allocation tagging Developer survey design (DX, SPACE framework) Familiarity with MCP (Model Context Protocol) architecture Microsoft 365 Copilot tenant administration Background in DevOps, platform engineering, or developer experience teams Please note this ...

data delivery platform. As part of the API team, you will build the next generation of Meltwater’s AI and platform capabilities, focused on MCP (Model Context Protocol), OAuth, permissions, and enterprise-grade governance. Your work will help bring Meltwater’s intelligence into external AI workflows.What … design, development, and optimization of API, export and MCP features.Collaborate closely with product managers and senior engineers to define functionality, while architecting systems that handle high-throughput data pipelines.Participate in building robust export pipelines, streaming architectures, webhook integrations and MCP servers.Maintain high observability and reliability standards using tools like Coralogix ...

least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within … stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

APIs and concepts — including prompt engineering, RAG, function calling, agent frameworks, and tool use. Claude (Anthropic) experience is specifically valued. Working knowledge of MCP (Model Context Protocol) and equivalent integration frameworks — comfortable connecting AI capabilities to enterprise systems in a governed way. Experience with workflow automation … landscape. BENEFITS Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working #J-18808-Ljbffr ...

support. Smartsheet is building a market-leading AI narrative anchored in organizational intelligence, agentic workflows, and the Model Context Protocol (MCP), and this role exists to make that narrative land with EMEA field teams and the enterprise buyers they serve.As a Sr. Product Marketing Manager … account executives and solution engineers.Build and maintain the EMEA AI content suite in Smarsheet’s Enablement platformHighspot: discovery slides, AI use-case messaging guides, MCP value narratives, and competitive positioning against regional alternatives.Track enablement adoption through leading indicators including Gong keyword usage, Highspot engagement, and qualitative field feedback on content ...

architecture, AI readiness and help them technically validate Amazon Connect. - Design agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action and Agent-to-Agent integration.- Represent the voice of the customer; bring customer feedback to product teams … thought reasoning, and autonomous agent workflows- Experience with CCaaS adjacent capabilities including Analytics, WFM/WFO, CRM technologies.- Familiarity with interoperability protocols such as MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication- Experience with Amazon Connect ...

software development, low-code technologies, AI agents, or a hybrid approach, and design solutions accordingly. Build and deploy Model Context Protocol (MCP) servers that securely expose firm tools and data as needed to the firm’s internal AI agents. Design, develop, and deploy custom software applications that ...

production, including rapid prototyping, evaluation, deployment and operation of agentic applications such as multi-agent systems and Model Context Protocol (MCP) services.What you’ll doSoftware engineeringDesign and develop sophisticated backend services, platforms and RESTful APIs that support critical trading and middle-office workflows.Build scalable, resilient and cloud … discovery-to-deployment journey for Data and AI applications, moving solutions from prototypes into production.Develop production-grade agentic workflows, including multi-agent architectures and MCP-based services.Build high-performance evaluation pipelines and observability frameworks to assess the accuracy, safety, reliability and latency of AI-powered applications.Find opportunities where AI, automation ...