26 to 50 of 194 Model Context Protocol Jobs in the UK

Multiverse works AI-native. The ways of working that make this role possible are constantly being refined. You contribute the patterns, tooling, and operating model, prove them in how your own team runs, and share what works with the wider org. What We Are Looking For Product Ownership … native org Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Traditional engineering managers who run delivery and ceremonies ...

architecture of the subscription lifecycle, including sign-up, trials, plan changes, upgrades, downgrades, proration, pauses, cancellations and win-back. Define and evolve the entitlements model that connects a customer’s billing status with the content and services they can access across web, mobile and connected television platforms. … Legal. AI-enabled engineering Apply our standards for using large language models and agentic tools across software design, development, testing and operations. Treat specifications, context, prompts, agent configurations and evaluation criteria as version-controlled engineering artefacts. Design and improve guardrails, evaluations and quality gates for AI-assisted development ...

serve. • Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. • Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. • Make reusability … engineering bar, and grow the pod's agentic capability. Must Have Skills python LangGraph Open AI Agents SDK Model Context Protocol (MCP) Amazon Bedrock Large Language Models (LLMs ...

infrastructure to accelerate AI solution development. Design and develop multi‐agent systems for orchestration, agent‐to‐agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt‐based model performance. Develop and maintain tools and frameworks for prompt‐based agent evaluation, monitoring … with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP). Experience with AWS and infrastructure‐as‐code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including CI/ ...

infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring … with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure‐as‐code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including CI/ ...

Systems RAG Retrieval Augmented Generation Prompt Engineering AI Evaluation AI Observability AI Governance Responsible AI AI Security Guardrails Model Context Protocol (MCP) Function Calling Tool Use AI Orchestration AI Platforms Experience with one or more: OpenAI Azure OpenAI Anthropic Claude Google Gemini AWS Bedrock Hugging Face LangChain ...

deliver. Develop prototypes and production components for client AI solutions: agent workflows, RAG pipelines, LLM integrations (Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic), MCP-based tool integrations, and the governance and security controls around them. Deliver custom adapters and local tooling for regulated, cloud-restricted, or air-gapped environments where … leakage, agent permissioning, model and data security posture (AI-SPM/DSPM concepts). Familiarity with the Model Context Protocol (MCP), agent runtimes, or vector databases (e.g., Pinecone, Milvus, Weaviate, Chroma). Background in enterprise data governance, security, backup/resilience, or the Microsoft 365/ ...

enterprise AI platform that powers AI products across the company. 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 … experience. LLMs & Agentic AI Hands‐on experience building applications powered by Large Language Models (LLMs). Experience building Model Context Protocol (MCP) and Retrieval‐Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks. Experience building or contributing to agentic AI systems ...

Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working … build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? The opportunity to shape your ...

embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design memory, state management, and context-aware agent behaviors Optimize performance, cost, and latency ...

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 ...

standardize AI agent development across teams. AIOps, Production Monitoring & Operations Establish monitoring, observability and operational governance for production AI workloads. Track agent performance, model latency, cost, prompt effectiveness, error rates and quality signals. Define alerting, incident response, RCA processes and production runbooks for AI applications. Troubleshoot AI agent issues … similar agent frameworks. Experience with Bedrock Knowledge Bases, vector databases such as OpenSearch, Pinecone or Weaviate, and embedding-based retrieval patterns. Experience with MCP (Model Context Protocol), enterprise tool integration and workflow automation. Knowledge of AI safety, guardrails, governance, responsible AI and GenAI FinOps. Experience integrating ...

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 ...

cross-functional teams Strong stakeholder management and client-facing leadership capability Desirable Experience Experience in Banking or Capital Markets (strong preference) Exposure to MCP (Model Context Protocol) Experience operating in regulated enterprise environments Ability to contribute to ROI modelling, business cases, and AI value articulation Experience contributing ...

context window limitations in LLM systems. Exposure to agent-based architectures and emerging protocols such as the Model Context Protocol (MCP). Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) #ICBCareer #ICBEngineering ABOUT US J.P. Morgan ...

Docker and Kubernetes • Solid grasp of API integration, tool/function calling and agent orchestration Nice to have • Model Context Protocol (MCP) • Kafka or event-driven architectures • MLOps, LLM evaluation, observability and monitoring To apply or find out more, get in touch. #ContractJobs #AIJobs #GenAI #AIEngineer #LangGraph ...

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 ...

language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ...

assisted software development. Ideally, you’ll have experience of, or a genuine interest in: Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern ...

assisted software development. Ideally, you’ll have experience of, or a genuine interest in: Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern ...

where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled … signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract/data ...

usage across all engineering teams. System Orchestration: Integrate AI solutions seamlessly with CI/CD pipelines and Model Context Protocol (MCP) servers to create automated, end-to-end development cycles. Strategic Collaboration: Partner with cross-functional engineering teams to embed AI-driven processes directly into core SDLC … large scale enterprise/industrial SDLC (large enterprises with complex process/tools). Given they need to apply their genAI skills in the context of a transformation from old to new...leading/guiding/designing how old style meets new style of engineering. Often we see inexperienced developers ...

self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana, ZDX) for proactive monitoring and insights. Provide engineering and support for MCP (Model Context Protocol) and AI agent integrations. Ensure AI-driven compliance, security monitoring, cost optimization, and continuous network stability improvements. Collaborate with Cloud ...

self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana, ZDX) for proactive monitoring and insights. Provide engineering and support for MCP (Model Context Protocol) and AI agent integrations. Ensure AI-driven compliance, security monitoring, cost optimization, and continuous network stability improvements. Collaborate with Cloud ...

Additional Skills/Preferences Experience developing AI‐enabled software solutions, including integration of REST APIs, Python‐based automation, Model Context Protocol (MCP), agent frameworks, and structured tools that expose product capabilities to AI assistants and autonomous agents. Experience developing engineering, simulation, CAD, CAE, EDA, scientific, or other ...