1 to 25 of 30 Remote/Hybrid Model Context Protocol Jobs in London

prompt management solutions. Configure and secure API gateways for internally developed AI services and third-party integrations, including Model Context Protocol (MCP) connectors. Provision and maintain sandbox and staging environments to support rapid AI development and experimentation. Work closely with Information Security and Compliance teams to ensure … solutions Serverless inference Containerised AI workloads Model versioning and evaluation pipelines Experience configuring and securing API gateways and AI integration services. Understanding of MCP (Model Context Protocol) and modern AI connector architectures. Strong Infrastructure-as-Code experience using Terraform. Experience working with CI/CD pipelines ...

just report it, including the greenfield Organiser and Exhibitor Agentic products our founding Agentic team is building on Model Context Protocol (MCP). Your Role Own the architecture of Grip's platform-wide data and AI infrastructure — from how event data is captured and modelled … batch and streaming — with reliability and low latency at the core Own the data layer that underpins Grip's Agentic products, ensuring agents and MCP-based tools have access to clean, well-modelled, real-time data Define data contracts and standards that product squads (Engage, Manage) build against, working ...

experience designing and implementing multi‐agent architectures (task decomposition, coordination, orchestration, and agent‐to‐agent (A2A) interaction patterns) Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context‐sharing patterns Knowledge Graphs & Reasoning: Building and leveraging knowledge … graphs for context enrichment, reasoning, and workflow automation RAG & Knowledge Systems: End‐to‐end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI/MRM compliance Enterprise ...

improve SEO, conversion rates, and user experience. Build production AI solutions using Vercel's AI SDK and AI Cloud—including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations. Embed with strategic customers to build production applications—working within their systems, understanding their constraints, and shipping … Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale. Have experience with Model Context Protocol (MCP), building MCP servers, or implementing complex tool‐use patterns in production AI applications. Have led enterprise AI transformation initiatives, including building production agents that automated ...

enterprise AI platform that powers AI products across 9fin. Develop scalable AI services supporting Agentic AI, Retrieval-Augmented Generation (RAG), embeddings, vector search, model serving, and intelligent automation. Build orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities. Develop production-ready AI applications using modern … Agentic AI Have hands-on experience building applications powered by Large Language Models (LLMs) . Have experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks. Have experience building or contributing to agentic ...

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 … 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 ...

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 ...

Python, APIs, etc. Familiarity with AI-assisted development and agentic coding tools (Claude Code, Cursor, Codex) and the Model Context Protocol (MCP) is a plus Experience with web development and containerized software is a plus Strong sales acumen and proven experience partnering with AEs to drive ...

infrastructure, data pipelines, orchestration layers, integration patterns, and governance controls. Develop reference architecture for agentic AI systems and multi‐agent workflows, establishing standards for MCP and model‐context protocols. Create AI reference architectures for investment and front‐to‐back office use cases. Drive integration of AI capabilities with … core data platforms and content platforms, leveraging RAG and MCP to unlock proprietary data assets. Governance & Risk: Design and operationalize AI governance, covering model risk management, explainability, bias monitoring, data lineage, and regulatory compliance. Evolve model evaluation and selection criteria for frontier and open‐weight models, balancing capability ...

sharing infrastructure, governance, comms, and the firm‐wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack – coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building – but the firm’s AI strategy is platform‐agnostic. … Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape – coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research – and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams ...

sharing infrastructure, governance, comms, and the firm‐wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack — coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building — but the firm’s AI strategy is platform‐agnostic. … Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape — coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research — and translate what matters into practical curriculum changes Collaborate with Technology, Security, and Responsible AI teams ...

gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience with Claude/Anthropic, OpenAI, Microsoft Copilot families, including MCP, connectors, skills, and trade‐offs. Strong understanding of AI testing disciplines (accuracy, hallucination, bias, prompt evaluations) and AI governance/risk (DPIA, data classification, FCA considerations ...

gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience with Claude/Anthropic, OpenAI, Microsoft Copilot families, including MCP, connectors, skills, and trade-offs. Strong understanding of AI testing disciplines (accuracy, hallucination, bias, prompt evaluations) and AI governance/risk (DPIA, data classification, FCA considerations ...

from monolithic to microservice architectures Experience deploying or governing enterprise AI tooling (Claude Enterprise, Copilot, or similar), particularly around secure rollout, usage policies, and MCP integrations What We Offer Opportunity to shape and own the technical infrastructure Small, collaborative team environment where your expertise will have a direct impact Opportunity ...

data grounding Architect reusable AI design patterns including human‐in‐the‐loop workflows and multi‐agent coordination models Apply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC) Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectations Ensure delivery adheres to AI governance, data privacy … model evaluation approaches Hands‐on experience with multi‐agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI‐based integration Strong Python development skills and knowledge of CI/CD, DevOps, and cloud‐native architectures Practical experience with Azure (Azure OpenAI ...

/UDP , packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques ( DPDK ) Familiarity with agentic engineering tools and concepts: LLMs , MCP APIs , AI‐First IDEs (e.g. Cursor, Claude Code), harness engineering , and workflow automation Ability to make sound architectural decisions, articulate trade‐offs clearly, and guide implementation ...

business decisions. Build, tune, andoptimisemachine learning, deep learning, and generative AI models,leveragingboth established andcutting-edgetechniques. Designand buildLLM-powered systems— RAG pipelines, prompt and context engineering, fine-tuning, structured outputs, function calling, context-window management,and secure model integration … selectingappropriately between standard and reasoning (test-time-compute) models, balancing capability against latency and cost. Designand buildagentic AI systems— tool-calling architectures, interoperability protocols (MCP, agent-to-agent), multi-agent orchestration, and multi-step reasoning with human-in-the-loop andappropriate trust, safety, and security boundaries. Leverageand contributeto agentic engineering ...

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 ...

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. ...

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/ ...

Pleo's internal AI infrastructure team, the platform every customer-facing AI feature is built on. The team owns LLM serving (LiteLLM), the MCP gateway and tool registry, agentic runtime, evaluation tooling, and the observability layer that makes AI outputs trustworthy at scale. This is a technical engineering management role … delivery, quality, team development, and ways of working. Own the execution of the platform roadmap including but not limited to LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition. Manage the stakeholders relationship with Data & AI Products as the primary internal customer and ensure ...

safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We’re also core contributors to the MCP spec … t. Key responsibilities Lead a team of engineers building the connectivity infrastructure that powers tool use across the company's product suite, from the MCP proxy to OAuth and token management Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high‐performing team Coach ...

infrastructure to scale impact beyond individual partnerships. Responsibilities Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more Provide hands-on support … partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research Create technical presentations ...