15 of 15 Permanent Model Context Protocol Jobs in London

will work directly with the founder to build GenFinance's technical capability from the ground up: mastering Model Context Protocol (MCP), testing every serious AI tool on the market, and creating the playbooks that let us deploy AI for clients rapidly and reliably. Everything you build will … actually do: Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok) Master Model Context Protocol (MCP), API, and build our library of data integrations Test, evaluate, and grade AI tools for finance Participate in research, both field and desk, to help ...

technologies to meet evolving requirements Design and develop Generative AI applications, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) integrations. Collaborate with data owners to build data pipelines, feature engineering processes, and context enrichment strategies that optimize AI-enabled solutions. Prototype and deliver production … objectives Minimum Qualifications: Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows. Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods. Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK. Hands-on experience with LLM frameworks ...

inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production … deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate ...

inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production … deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate ...

leadership role. Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs. Domain: Proven experience with financial data . Familiarity with trading platforms or fund admin ...

NoSQL (e.g. MongoDB) Experience building and running production SaaS platforms Nice to Have RAG, autonomous agents, or Model Context Protocol (MCP) TDD, Agile, and DevOps environments Blockchain/Web3 integrations or tokenisation frameworks Cryptography, security, or distributed systems knowledge Fintech, asset management, or due-diligence automation background ...

quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems • Protocol Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated ...

deep understanding of the e-commerce landscape and its underlying technologies. Knowledge of AI Agentic Infrastructure, including Agent Orchestration Layers and integration protocols like MCP and ACP. Familiarity with the cloud environment, DevOps tools and observability for monitoring and optimizing agent performance. An understanding of customer data, databases, and data ...

C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC. Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc. Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework, design patterns. Experience using modern ...

across the entire business. This team will build the platforms, infrastructure and tooling that unlock AI-driven productivityfrom multi-agent workflows to LLM observability, MCP integrations and enterprise-grade GenAI systems. We are hiring both Senior/Lead Software Engineers and Principal Software Engineers to help shape the companys next … Levels) Design, build and scale foundational GenAI platform capabilities, including: AI gateways Python & TypeScript SDKs RAG pipelines LLM frameworks Vector database integrations MCP capabilities and agentic tooling Develop reusable automation and workflow components used across the organisation. Partner with engineering teams to define, implement and evangelise GenAI standards. Build production ...

prompts, likes and stories that you spread around the Internet. We are the first company in the world to have access to rich personal context from Instagram stories, Google searches, TikTok & YouTube videos, ChatGPT prompts and much more. We are using it to personalize your consumer AI experiences according … Tech companies into a user’s Digital Self frontier research on AI memory and context engineering providing context to consumer agents via MCP and A2A You will be a perfect fit if: building a great company is your top priority in life you are extremely hard working ...

services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/… similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/ ...

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 Java/Microservices/API design/LLMs/AI/Claude ...

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 Java/Microservices/API design/LLMs/AI/Claude ...

models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers ...