76 to 100 of 100 Permanent MCP Jobs

Windows-based environments, including Windows 10 and/or Windows 11. Certifications (Preferred) • CompTIA A+ certification or equivalent vendor-neutral credential. • Microsoft Certified Professional (MCP), Microsoft 365 Fundamentals, or higher-level Microsoft certification. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES • Proficiency in Windows operating systems, Microsoft Active Directory, Group Policy Objects (GPOs ...

with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including ...

with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including ...

Windows-based environments, including Windows 10 and/or Windows 11. Certifications (Preferred) • CompTIA A+ certification or equivalent vendor-neutral credential. • Microsoft Certified Professional (MCP), Microsoft 365 Fundamentals, or higher-level Microsoft certification. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES • Proficiency in Windows operating systems, Microsoft Active Directory, Group Policy Objects (GPOs ...

architectures, embedding models, and semantic search at scale. Strong grasp of distributed systems, API design, and cloud-native infrastructure (AWS) Experience with MCP (Model Context Protocol), tool-use patterns, and multi-agent orchestration in production. Demonstrated ability to lead without formal authority, influencing direction through technical credibility and clear communication. ...

deploying AI/ML platforms at scale Expertise in building agent-based architectures, evaluation frameworks, and prompt/context engineering Knowledge of MCP (Model Context Protocol) servers Hands-on experience in LLM inference optimization, including batching and caching strategies Strong experience with Kubernetes and cloud infrastructure (AWS/Azure/… distributed systems Design and deploy AI/ML and GenAI platforms at enterprise scale Build and manage agent-based architectures, including: Prompt and context engineering MCP servers Evaluation frameworks Optimize LLM inference pipelines for latency, throughput, and efficiency Design and implement agent data & retrieval systems (vector DBs, hybrid search, memory ...

drive measurable business outcomes. Skills & Responsibilities Build and deploy production-grade AI agents and LLM-powered applications. Design agentic workflows using LangChain, LangGraph, MCP, FastMCP, or similar frameworks. Develop and optimise Retrieval-Augmented Generation (RAG) systems. Integrate AI solutions into products, APIs, and business workflows. Work with AWS, Azure … experience and production software engineering skills. Proven track record shipping LLM-based solutions into production environments. Tech stack: Python | LLMs | Agentic AI | LangChain | LangGraph | MCP | RAG | Vector Databases | AWS | Azure | GCP | APIs | SQL | Machine Learning | Forecasting Senior AI Engineer (LLM/Agentic AI) | London (Hybrid) | £600–£700/day | Outside ...

systems using RAG, reasoning, planning, memory, and tool orchestration Develop multi-step AI solutions capable of autonomous decision-making and tool usage Work with MCP-style architectures and modern orchestration frameworks Deliver recommendation, classification, forecasting, and automation solutions using large-scale datasets Deploy scalable AI systems across cloud environments including … LangGraph, or similar frameworks Demonstrable experience building Agentic AI systems and AI agents Strong understanding of RAG architectures and LLM optimisation Experience with FastAPI, MCP/FastMCP, or similar technologies Familiarity with cloud-native AI deployments and data-driven applications Important Applications must clearly demonstrate hands-on Agentic AI experience. ...

Engineer (LLMs, Agents, MCP, ML) Location: Remote (UK) Salary: £80,000 – £100,000 Neulinx have partnered with a global SaaS platform in the hospitality and travel space, who are hiring an AI Engineer into a high-impact role. The business is widely recognised as one of the UK’s leading … powered product features and workflows • Working with LLMs in production, including prompt engineering and optimisation • Building AI agents and advanced workflows • Developing and integrating MCP services and API-driven AI interactions • Embedding AI into core product functionality, integrations and internal systems • Identifying and delivering practical AI use cases at scale ...

prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python … obvious AI platforms such as GPT, Opus, Gemini, Sonnet. You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume ...

prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python … obvious AI platforms such as GPT, Opus, Gemini, Sonnet. You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume ...

stack and infrastructure,system access and permissions, security and compliance requirements, SSO, internalplatforms, and enterprise services API & Contract Design Define and maintain APIs and MCP-based interfaces between systems. Ensure clear ownership boundaries between domains. Enable secure access to company data through well-defined contracts rather than data duplication. What … Experience in early-stage startups and fast-paced environments. Experience building company-wide knowledge platforms and enterprise search systems. Familiarity with: LangGraph, Mastra, n8n, MCP ecosystem, Modern agent frameworks Experience with access-controlled enterprise knowledge retrieval systems. Previous experience supporting executive decision-making systems or internal AIcopilots. What Success Looks ...

agents, and automated workflows for internal teams Integrate frontier AI models (primarily Claude) into our systems, third-party platforms, and BigQuery data warehouse via MCP servers, APIs, and CLI workflows Set up and secure self-hosted infrastructure including GPU workloads, model serving, and internal endpoints Own the security posture … TypeScript/Node.js a plus Deep hands-on experience with the Anthropic API, Claude, tool use, MCPs, and prompt engineering Comfortable building and extending MCP servers and working in CLI-first environments Solid infrastructure knowledge: Linux, Docker, cloud deployment (GCP/AWS), self-hosted server administration Security-first mindset with ...

Product Owner (MCP/APIs/AI Workflows) Location: Remote (UK) Salary: £80,000 – £110,000 Neulinx have partnered with an award-winning global hospitality SaaS platform used by over 30,000 businesses worldwide, as they continue to scale their next generation AI and platform capability. This is a genuinely … Product Owner who wants to sit at the intersection of product, engineering and AI architecture. The business is investing heavily in AI-driven workflows, MCP architecture and API-first product development, and they’re looking for someone who can lead product initiatives end-to-end while remaining hands-on technically. ...

Risk assessing AI integrations requires technical depth and will form the core of the role. Develop and maintain a deep working understanding of how MCP servers, API connections, permission scopes, and agentic frameworks function in practice, and what each means for data exposure, privilege escalation, and system integrity. Assess … independently. Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions that exceed what the integration ...

data ecosystems-including COBOL and JCL-based pipelines-into modern, cloud-native architectures while incorporating AI-driven engineering practices such as model context protocols (MCP), intelligent agents, and continuous skills evolution. What Sets This Role Apart • Direct involvement in legacy-to-cloud transformation (COBOL/JCL AWS) • Hands … data engineering lifecycle (agents, MCP, automation) • Opportunity to shape modern data architecture strategy while preserving critical business logic • Strong focus on scalability, automation, and intelligent data processing Note: We do not offer immigration sponsorship for any position at this time. ...

identified significant opportunities to accelerate delivery through AI agents, automated testing, and AI-assisted development pipelines. 👇 What i'm looking for (must haves) 👇 👉 Bedrock 👉 MCP 👉 Fullstack engineering principals around Infra, AWS, Terraform, CI/CD, DevOps 👉 Node/Typescript/Javascript 👉 Good communicators who can mentor and pair with engineers ...

owning dbt models on BigQuery across trading, finance, and regulatory domains Supporting both BI users (Looker dashboards) and AI agents consuming governed data via MCP Owning pipeline reliability during London hours; incident response, schema drift, reconciliation breaks Semantic layer work that needs to be precise enough for AI agents ...

multi-modular enterprise web application Managing and evolving a Figma-based design system, including versioning, structure and review processes Using AI prototyping tools (including MCP) to explore and validate ideas faster Staying close to industry trends and advancements in design tooling 🛠 What We're Looking For A strong track recordin ...