26 to 50 of 234 Model Context Protocol Jobs in the UK excluding London

agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience … support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting ...

client data into reliable pipelines, and turn those pipelines into production AI systems that deliver measurable business value. You will own the data and model layers of our client projects: designing and building the pipelines that feed AI systems, developing and deploying ML and LLM‐powered solutions, and standing … LangGraph, AutoGen, CrewAI), including agent evaluation and observability (e.g. LangSmith) Familiarity with tool/function calling and the Model Context Protocol (MCP) for connecting agents to external systems and data Experience with infrastructure‐as‐code and serverless data/ML deployment (Lambda, Cloud Run, Azure Functions) Exposure ...

Role Description gravity9 is expanding its Forward Deployed Engineering team to build production agentic AI systems for enterprise clients, in partnership with leading frontier-model providers. We already support clients from different verticals to have agentic and RAG systems live in production across healthcare, financial services, retail and global … observability. Strong advantage Anthropic certification (Claude Developer/Anthropic‐issued credential), an explicit advantage at shortlisting. Anthropic Agent SDK production experience, a significant bonus. MCP (Model Context Protocol): building servers and clients, tool exposure, auth patterns. Claude Code as an autonomous SDLC agent: sub‐agents, hooks, custom ...

into reliable, scalable systems that deliver measurable value in real-world commercial environments . You will work across agent orchestration, LLM and vision-language model integration, retrieval, multimodal data, evaluation and production infrastructure. You'll be expected to understand not only how to make an AI system work … including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such as A2A. Model Context Protocol (MCP). Secure-by-design development principles, including ISO 27001, NIST or OWASP. Experience working with highly regulated, mission-critical or data-intensive organisations. Experience with ...

Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. Implement AI solutions using frameworks such as LangChain , LangGraph , and MCP . Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python … Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable ...

Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before … Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data Preferred: Background in B2B SaaS metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI‐driven features that hold up under real workloads. The work varies a lot. … solutions for large‐scale environments supporting hundreds or thousands of Salesforce users. Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling. Consulting & Delivery Proven experience translating complex business requirements and user stories into scalable technical solutions. Experience ...

Experience with agentic AI frameworks - multi-agent orchestration, planning and tool use, and integration patterns such as the Model Context Protocol (MCP); familiarity with Google ADK, Arize Phoenix SDK, Claude skills is a must. Overall knowledge of the Software Development Life Cycle, and a solid understanding … anomaly-detection approaches such as Isolation Forest, Local Outlier Factor, and locality-sensitive hashing. Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity ...

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/ ...

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 ...

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 ...

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 ...

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 ...

Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement.Who You Are:Humble, Hungry, Smart.What You'll Be Doing:Architect and deliver high … impact features for our main public facing insurance marketplace and internal toolsets.Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence.Coach and mentor junior engineers within the team and organisation.Champion our Agent First philosophy by driving agentic enablement across our development lifecycle.Utilize analytics ...

products with clear human oversight, measurable outcomes and safe rollback. Principal Accountabilities Design, build and operate the enterprise agentic platform, including orchestration, runtime services, model routing, memory, identity and policy enforcement. Develop reusable agent frameworks, SDKs and patterns that enable engineering teams to build secure, scalable AI agents consistently. … controls. Integrate agents securely with enterprise platforms, cloud services, APIs and knowledge sources using modern integration standards and Model Context Protocol (MCP). Build production-grade agent services using Python, cloud-native architectures, event-driven design, automation and Infrastructure as Code. Implement robust evaluation, observability and continuous ...

Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement. Who You Are Humble, Hungry, Smart. What You'll Be Doing Architect … impact features for our main public facing insurance marketplace and internal toolsets. Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence. Coach and mentor junior engineers within the team and organisation. Champion our Agent First philosophy by driving agentic enablement across ...

Solutions will frequently make heavy use of AI: prototyping with AI coding tools, and building solutions that themselves incorporate AI agents, LLMs, models, and MCP services. The Creative Technologist is expected to stay at the leading edge of these tools and techniques, and to bring a strong point of view … rapidly build demonstrable prototypes. • Large Language Models (LLMs) and hosted/served models as building blocks within solutions. • AI agents and agentic workflows. • MCP (Model Context Protocol) services to expose data and capabilities to AI systems. • Prompt design and an understanding of how to get reliable, high ...

ambiguity and wants outsized ownership. What You’ll Do Design, build, and deploy LLM-powered features and agentic workflows into production Work with MCP (Model Context Protocol) and related tooling to connect AI systems to internal and external data sources Build and maintain scalable AI/… startup environment — from prototype to production What You’ll Bring Strong Python skills, with hands-on experience building LLM-based applications Practical experience with MCP or comparable agent/tool-orchestration frameworks Solid cloud experience (AWS and/or Azure) — deployment, infrastructure, and scaling AI workloads Startup experience, ideally ...

Copilot Studio, Azure AI Foundry, or custom AI agent development, not just AI strategy or leadership. Familiarity with Model Context Protocol (MCP) and unstructured-to-structured data tools like OCR or Document Intelligence. Experience with Snowflake or a similar data platform. DevOps experience managing Dev-UAT-Prod ...

strong emphasis on maintainability, consistency, and developer experience. Hands-on experience designing and integrating AI-powered applications using Model Context Protocol (MCP) servers, LLM APIs, agent workflows, tool orchestration, Desirable Skills/Experience Strong understanding of design token architecture, token governance, and cross-platform token management using ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...