76 to 100 of 276 Model Context Protocol Jobs

contract, with potential to extend into more strategic work. You will build and deploy data science solutions on AWS or GCP, and experience with MCP (Model Context Protocol) is essential. The role is London-based (SW), hybrid, with 1-2 days on-site per week. Active … shareable (essential). \n AWS and/or GCP: Proven experience in either ecosystem, including serverless and data services. \n Data science with MCP: Hands-on data science experience alongside MCP. \n Python and DevOps: Strong Python ecosystem knowledge, plus Infrastructure as Code and DevOps practices supported by Python. ...

business outcomes. A builder's mindset toward AI, with experience creating prompt workflows, content systems, and API or Model Context Protocol (MCP) integrations that make teams more effective. What we offerPrivate health benefits and health cash planPension scheme: 5% matchedA minimum of 25 days of annual leave ...

Audit, Enterprise Risk Management, Controls Management, and Compliance reporting. As our GRC solution enters its next generation, you will leverage AI-driven capabilities and Model Context Protocols (MCPs) to streamline technical execution, allowing you to focus on high-value business advisory, client engagement, and solution health. What … workflows, designing robust GRC solutions within the Workiva platform without requiring day-to-day supervision. Leverage NextGen AI & MCPs: Integrate AI-driven workflows and Model Context Protocols into daily operations to automate routine tasks, focus on strategic advisory work, and help clients adopt modern AI capabilities. Enable & Guide ...

Excellence under a unified, high-standard operating model. Direct the rollout of agentic analytics, using Claude and Model Context Protocol (MCP) to enable self-serve access to certified data. Collaborate with Analytics Engineering to shape the unified semantic layer migration onto dbt MetricFlow. Establish evaluation frameworks, telemetry … product management experience, preferably with partner- or customer-facing data products. Practical understanding of agentic data access concepts, including plugins, skills, and MCP architectures. Solid technical foundation in SQL, modern data warehousing (BigQuery, dbt), and semantic layer BI tools such as Looker. Demonstrated ability to translate analytics deliverables into commercial ...

evidence discovery pipeline across 1,500 SharePoint artefacts (emails, contracts, risk logs) across 60 nested folders using Model Context Protocol (MCP) to standardise click apply for full job details ...

build reusable code repositories to ensure quality engineering solutions. Drive Platform Capabilities: Identify, evaluate, and prototype emerging technologies and agentic tools (such as Model Context Protocol servers and vector databases), bringing highly automated new capabilities into our global data product portfolio. Architect Financial Efficiency: Design cloud data … architecture and the agents you build will drive business outcomes across the globe in renewable energy. A modern, cloud-first stack: Azure, Fabric, Purview, MCP servers, and significant innovation investment. A collaborative, growing data and analytics function: Scope to shape how analytics and AI evolves for data and platforms. Join ...

decision support. Design, generate and validate structured JSON outputs using defined schemas, data types and validation rules. Prepare, clean, transform and structure data for model development, application consumption, reporting and dissemination. Evaluate appropriate approaches, including conventional machine learning, large language models, retrieval-augmented generation and fine-tuning where justified. … data and data validation. Experience preparing datasets, using SQL and building reproducible data processing workflows. Sound understanding of statistical evaluation, overfitting, data leakage and model limitations. Ability to write maintainable, tested code and collaborate through version control. Clear communication and the ability to translate business problems into measurable technical ...

embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovationLeverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standardsDesign, build, and deploy intelligent, scalable solutions that integrate machine learning … driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality ...

fully defined spec. Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving. Who You AreBeyond the qualifications, we hire through a specific lens. These aren't buzzwords; they … designing or running experiments, including A/B tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous ...

Design secure architectures for Microsoft 365 Copilot, Copilot Studio, AI agents, custom AI applications, retrieval-augmented generation, Azure AI services, third-party models and Model Context Protocol integrations. * Own the technical security control catalogue and map control objectives to architecture patterns, technology configurations, owners, evidence and testing ...

tuning or preference and reinforcement-learning approaches, such as DPO, GRPO, RLHF or RLAIF.Experience designing reward functions, graders or agent training environments. Familiarity with Model Context Protocol or other approaches to tool integration. Exposure to training or deploying open-source language or vision-language models using GPUs ...

Manager, AI Governance (EMEA)Location: EMEAAbout the Role: Kong is building the connectivity layer for the AI era — securing, governing, and monetizing every LLM, MCP, agent, and API request in production. As the Product Marketing Manager for our AI portfolio, you'll be the commercial engine behind the fastest-moving …/ML platform company. A genuine, hands-on interest in AI infrastructure. You follow developments in LLM deployment, agentic frameworks, the Model Context Protocol, and AI governance, and can speak credibly to AI platform engineers without bluffing. A proven ability to translate complex technical concepts into crisp ...

BootExposure to AI-ML concepts or modern AI development toolsExperience with distributed, event-driven, or large-scale systemsFamiliarity with emerging engineering tools such as MCP, Cline, Aider, Cursor, or GitHub CopilotOpen-source contributions, personal technical projects, or hackathon experienceHow You'll Thrive HereWe're looking for engineers who are: Curious ...

mode, Skills, etc. GenAI application development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, MCP tools and infrastructure, A2A design and development, data solutions for RAG and vector storage, prompt and context authoring, and more. Databases: Proficiency in RDBMS ...

SKILLS AI Engineer, Agentic AI, Generative AI, LLM, Large Language Models, Python, SQL, RAG, Prompt Engineering, Azure, APIs, AI Agents, LangChain, LangGraph, Claude, MCP, AI Automation ...

automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity ...

automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity ...

servicesStrong CI/CD, Git and automated testing experienceExperience with Docker, Kubernetes or Azure Container AppsAn understanding of production monitoring, reliability and observabilityExperience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This ...

Cursor, Claude Code or similar) and a considered view on where they helpNice to haveNext.js/Node.js, LLM product work (streaming, LangChain/LangGraph, MCP), Celery, Redis, OpenSearch, Kubernetes or Terraform, and financial-services or regulated-environment experience. What's on offerClose work with a leadership team with 20+ years ...

RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services "for" product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution. LSEG AI Assist/ ...

GitHub Copilot, or similar. Polyglot development expertise in Angular, React, or Node.js, alongside Java, Spring Boot, and Python. Strong API development experience. Expertise in MCP, RAG-at-scale, grounding strategy, knowledge graph, and ontology engineering. Preferred Qualifications: Experience with CI/CD and DevOps practices in cloud-native environments. Database ...

document processing and retrieval-based solutions. Logic Apps, API Management, Service Bus and Key Vault. TypeScript, JavaScript or Python. Docker, infrastructure as code or Model Context Protocol. Salary & benefits £70,000–£75,000 salary. Four days working from home- one office Flexible working hours. Competitive pension scheme. Health ...

cloud-native infrastructure, and data problems with no off-the-shelf answer. Experience with agentic systems matters: tool and context protocols such as MCP, evaluation harnesses, memory design, and entity resolution across messy enterprise data. This is applied AI in production, at scale, with real users depending on what … MVPs through to scaled production deployments, designing AI workflows that execute multi-step tasks reliably and safely – building evals to measure output quality, benchmark model performance, and validate reliability before and after deploymentImplement agentic patterns with strong judgment about when they add real value; build robust agent capabilities including ...