4 of 4 Contract Model Context Protocol Jobs in London

what's possible when AI is deeply integrated throughout the software development lifecycle, working with the latest AI technologies including Claude Code, GitHub Copilot, MCP, LLMs. Senior Software Engineer will: Develop and maintain software applications using Java Implement AI solutions to enhance software functionality and accelerate development workflows Collaborate with … experience in software development Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable ...

experts to translate business requirements into well defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant Implement model evaluation … like Pegasus, Ragas, DeepEval Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript (preferable) Solid understanding of LLMs, prompt engineering, and graph-based ...

them to business goals, risk posture, and engineering standards across cloud and hybrid environments Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops Establish integration patterns (APIs, events, microservices) to embed model powered capabilities into existing platforms with clear service … core banking, CRM, risk, payments) Design audit ready agent interactions, tool usage logs, and decision provenance Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns) Hands on expertise with agentic frameworks (orchestrators) Experience with LLMs, prompt engineering, tool/function calling, memory management API first integration, event driven ...

services using Node.js and REST APIs Ship production-ready agents with reliability, monitoring, and performance in mind Integrate agents with external tools, APIs, and MCP servers Establish observability for AI systems, including tracing, cost monitoring, and failure detection Develop evaluation and testing frameworks for agent performance and reliability Collaborate with …/TypeScript and Node.js Experience designing and consuming REST APIs Proven track record of shipping AI agents to production environments Preferred Qualifications Experience with MCP server development or agent-to-tool integration frameworks Familiarity with observability tools for AI workloads (e.g., tracing, cost tracking, failure analysis) Exposure to e-commerce ...