76 to 100 of 134 Model Context Protocol Jobs in England

Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

RESTful APIs, SQL, and some exposure to mobile development Familiarity with AI‐assisted development tools (e.g. Codex, Claude Code) and emerging patterns such as MCP Strong domain knowledge in marketing automation, CDPs, eCommerce systems, analytics, or data engineering Advanced discovery and requirements‐gathering skills across multi‐layered stakeholder environments Executive ...

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 ...

systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across the lifecycle … government or academia. Experience in regulated industries such as insurance, financial services, public sector or national‐scale infrastructure contexts. Familiarity with agentic systems design, MCP/A2A protocols, or inference‐time privacy controls. Familiarity innovating with agentic‐driven workflows and toolsets for both research and prototyping tasks, such as Claude ...

three pillars of the AI strategy; AI for Service Delivery, AI forDigital Products and AI for Productivity. This spans the JTC Agentic Platform(MCP-enabled orchestration and validation across JTC systems and market tools),the enterprise document extraction platform, end-to-end billing agents (AgenticThames and the Agentic Wheel), conversational … institutionalise the multi-platform Agent Builder for craft-your-own agents. Agentic Platform & AI Architecture Own the engineering of the JTC Agentic Platform, MCP-enabled orchestration and validation across JTC systems and market tools, maintaining in-house control of the agentic layer to avoid LLM lock-in. Build around ...

SDLC Exposure to AI and agentic systems (practical or conceptual), including: Security and governance for AI Solutions (Identity, observability, risks) Agentic Architecture and patterns (MCP, RAG, Tools, Memory, Harnesses) Experience working in complex, enterprise‐scale environments Ability to translate security requirements into engineering‐aligned solutions Hands‐on experience building, testing ...

OpenAI, open-source models via vLLM) Own database performance for both relational (Postgres) and vector (pgvector/Pinecone) workloads Collaborate with ML engineers on model-serving infrastructure and prompt-caching strategies Drive API versioning and backwards compatibility as the product iterates quickly Core Tech Stack: Languages: Python (FastAPI … security, and scalability best practices Nice to Have: Experience fine-tuning or evaluating open-source models Familiarity with agentic frameworks (function calling, tool use, MCP) Prior startup/scale-up experience Benefits: 25 days holiday + bank holidays Private healthcare (Vitality) £1,000 annual learning budget Hybrid working with full ...

investment discussions. Reduce manual effort for Relationship Managers while improving the quality and consistency of client recommendations. Skills Solution architecture Architecture AI LLM MCP Gateway Job Title: AI Solution Architect Location: London, UK Rate/Salary: 500.00 - 550.00 GBP Daily Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Maxis ...

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 ...

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. ...

small, high-leverage team building production infrastructure for Generative AI at the company and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model … routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self‐serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At the company, we know that ...

fast‐paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data … processing) and cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. ...

fast‐paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data … processing) and cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. ...

fast‐paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data … processing) and cloud platforms (AWS, Azure or GCP). Hands‐on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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/ ...