11 of 11 Model Context Protocol Jobs in the South East

manage the full model lifecycle from deployment through to performance optimisation. You'll design secure integrations using Model Context Protocol (MCP) and Agentic AI frameworks, architect and scale AIOps platforms to enhance IT operations and observability, and collaborate across data science and engineering teams to build … complex technical concepts to both engineering teams and senior client leadership. Tech Landscape: Conversational AI · LLMOps · MLOps · AIOps · Amelia · Python · Java · AWS · Azure · GCP · MCP/Agentic AI · Oracle · MSSQL · MongoDB · CI/CD · Linux · DevOps Interested? Get in touch with TechByte Talent for a confidential conversation about this opportunity. ...

Data Engineer. Minimum 2 years of hands-on experience in AI/ML or data-intensive application development. Demonstrated experience designing, building, and testing MCP-based or similar integration solutions. Proven track record delivering production-grade data pipelines and backend systems for complex applications. Technical Skills Strong proficiency with Google … Development Kit (ADK) or comparable agent frameworks. Advanced software and data engineering expertise, including: Data modeling API development Model Context Protocol (MCP) concepts Deep understanding of the agent development lifecycle and agent design patterns. Experience implementing testing strategies and iterative development practices. Languages Professional proficiency in English ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

Agentic AI Engineer, Agentic AI Developer, Python Fluency with modern ML toolchains (PyTorch/JAX, RL or behaviour-cloning libraries, agentic frameworks, MCP, distributed training workflows). Experience with AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel. Solid software-engineering fundamentals - tested, documented, maintainable Python ...

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 ...

offs and opportunities. Metrics & Dashboards: Define, track, and evolve product KPIs (X, Y, Z); build dashboards in Lightdash to democratize access, and manage the MCP for effective Agent Use. Cross-Functional Partner: Translate analysis into product and growth strategies; influence roadmaps with data-driven recommendations. Qualifications 3+ years of professional ...

data teams to use AI to create, update, and maintain analytics using code. With native dbt integration, a governed semantic layer, and the Lightdash MCP server, teams can build entire BI layers from their terminal, IDE, or CI workflows. Lightdash is built for modern data teams who want analytics ...