126 to 150 of 194 Model Context Protocol Jobs in the UK

/authz, tenant isolation, and privileged access Immerse yourself in the agent security domain our customers are focused on: prompt injection, agent supply chain, mcp permissions, and non-human identities Security Engineering & Operations Own security across Geordie's cloud infrastructure and internal environments. Own the company's security roadmap, risk ...

design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques — including RAG, agent architectures, and context engineering — to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development of production-grade applications with … Experience with quantitative modelling and derivatives pricing Hands-on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data ...

escapes. Responsibilities Solution Architecture & Design Consulting Serve as the consulting architect for AI use‐case teams across the bank: shape solution designs, data flows, model access patterns, and integration approaches aligned to the enterprise AI platform and gateway architecture. Produce and maintain reference architectures, design patterns, and working examples … gateway/governance patterns: model allowlisting, entitlement‐based access, usage controls, audit logging. Experience with vector stores, retrieval services, evaluation harnesses, and MCP/tool‐integration patterns. Experience mentoring teams new to AI delivery. #J-18808-Ljbffr ...

verbal communication skills with the ability to influence technical and business stakeholders. Preferred Qualifications Experience with agent frameworks, orchestration platforms, and protocols such as MCP, A2A, LangGraph, Bedrock, Vertex AI, OpenAI, Anthropic, or similar technologies. Experience building developer platforms, orchestration engines, SDLC tooling, or engineering productivity solutions. Experience implementing enterprise … systems within regulated or security-conscious environments. Experience with responsible AI governance, evaluation frameworks, and model quality practices. Contributions to open-source software, technical publications, patents, or industry conference presentations. the company Values At the company, we operate with a growth mindset and embrace diversity of thought and contribution. ...

manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns and advise clients on emerging Agentic Commerce standards (ACP, AP2, A2A, and secure payment models). Client Engagement & Account Growth: Build … patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A). Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled ...

applications inside client systems, ensuring solutions meet enterprise requirements for performance, security, and reliability. Develop technical assets — Create reusable, production-ready artefacts including MCP servers, sub-agents, agent orchestration frameworks, and evaluation tooling that can be deployed across client workflows. Support enterprise deployments — Play a key technical role in rollouts … Identify patterns and scale — Recognise repeatable deployment patterns across engagements and contribute those insights back to Accenture's I&E FDE practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting-edge expertise — Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies ...

maintaining human-in-the-loop systems and AI monitoring/observability Strong fundamentals in AI/ML evaluation frameworks Experience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrails In depth understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven … Management is a plus Key Responsibilities Develop and maintain Python-based AI applications Build and maintain document workflows using LLMs and classical NLP Debug model performance issues, handle edge cases, and optimize system reliability Write comprehensive tests and implement monitoring for AI/ML systems Rapidly prototype new features ...

trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends. Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices. Implement infrastructure-as-code for platform environments and network … Open APIs. NETCONF/RESTCONF, gRPC, vendor APIs. API management and orchestration. Intent-to-configuration workflows. Data pipelines. Vector databases and graph APIs. MCP integration. Security frameworks and compliance controls. Observability and logging. Preferred Certifications Kubernetes CKA/CKAD. Terraform Associate. Red Hat Ansible certification. Google Cloud, AWS, or Azure ...

follow-up calls Expanding the company's customer-facing AI assistant Using multimodal models to process service histories, photographs and documents Extending an internal MCP server that connects AI tools with company systems Developing internal applications and dashboards Contributing to applications used by employees across the company's stores … following would be helpful: Third-party API integrations AWS Lambda or serverless development Event-driven systems OpenAI, Anthropic or other LLM APIs Prompt engineering, MCP or agent patterns React PHP, Laravel, MySQL or DynamoDB Swift or SwiftUI You are not expected to have worked with everything listed. What this role ...

controls in place so AI outputs remain reliable and cost‐effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost control, provider routing and observability built in. Partner with other departments to turn AI capabilities into everyday workflows, reusable tools … build durable institutional capability. Reliability, cost control, observability, instruction‐following, usability and adoption matter most. The team designs reusable workflows, skills, models and MCP tools that support Penta’s move towards an AI‐native advisory operating system. Keeping Penta at the forefront of practical AI in PR, communications and strategic ...

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 … data engineering to build the whole thing yourself Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP, with evidence you've shipped AI users actually rely on, and how you proved it could be trusted Evaluation-driven habits: golden datasets, eval frameworks, guardrails ...

convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption. Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments. Contribute to broader ISDA AI strategy development, including … building production systems directly. Deep understanding of LLMs, retrieval‐augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding‐model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM‐as‐judge, groundedness and faithfulness metrics, tracing ...

used by institutional clients. As an early member of a small, senior team, you will work end‐to‐end across research, prototyping, data engineering, model implementation, production systems, and client‐facing applications. This is a high‐ownership role for someone who is comfortable contributing wherever needed in a fast … help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with the evolution of our cloud infrastructure ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … products and platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Salary £70,000 - £100,000 Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within ...

flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support — Lane Assist/POET Provide first‐line support for Lane Assist and the Portfolio Optimization Engine Technology … audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine‐tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good‐to‐have ...

with the modern LLM/agent toolkit – model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). A pragmatic sense of where an agentic approach genuinely helps and where it doesn’t, and you enjoy working closely with … sustainable work‐life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise ...

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 ...

Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

APIs and understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data … experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...

tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity or Capital. Experience in defining data strategy for advanced analytical initiatives, including data governance, sourcing, and ethical … skills that can drive your career. By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole ...

strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We’re Looking For 6+ years’ backend … experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Strong TDD experience Java/Microservices/API design/LLMs/ ...

guardrails, and policies. Rapidly prototype agentic flows hands-on: orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations ...

guardrails, and policies. Rapidly prototype agentic flows hands‐on: orchestration across specialised sub‐agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … drive alignment across senior cross‐functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi‐agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human‐in‐the‐loop review patterns, and agent evaluation. Background in e‐commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations ...

Flow Execution Engine , the Constraint & Policy Store , and the Audit Log Service . Conduct competitive analysis across AI agent execution platforms, large language model providers, and adjacent market alternatives to inform product direction and differentiation. Identify customer problems and monetization opportunities, develop solution concepts, and validate them through close … code , enforcement patterns, and audit trail completeness in regulated environments. Fluency in agentic AI concepts at the platform level, including harnesses, context, tools, MCP, skills, agent identity, registration, and session lifecycle. Hands-on experience with AI agent platforms or major AI providers such as OpenAI , Claude , Amazon Bedrock , Vertex ...