Artificial Intelligence Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Lead based in London, UK, on a hybrid contract for 3 days a week. The position requires 10+ years in AI/ML engineering, proficiency in Azure OpenAI GPT-5, and expertise in LangGraph frameworks.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London
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🧠 - Skills detailed
#ML (Machine Learning) #Deployment #Azure #Automation #Monitoring #Programming #AI (Artificial Intelligence) #Python #Observability #"ETL (Extract #Transform #Load)"
Role description
Role: AI Lead Location: London, UK Hybrid: 3 days a week from office AI Lead to drive the development and deployment of next-generation agentic AI solutions using Azure OpenAI GPT-5, LangGraph frameworks, and intelligent document processing. Lead technical workstreams in building production-ready AI systems for financial automation with hands-on development approach. Required Qualifications β€’ 10+ years of experience in AI/ML engineering with 4+ years in agentic AI and LLM systems β€’ Strong proficiency in LangGraph, LangMem, and agentic workflow development β€’ Hands-on experience with Azure OpenAI GPT-5, text-embedding-3-large, and Azure AI services β€’ Expert-level Python programming and experience with Claude Code for AI development β€’ Experience with LlamaIndex (LlamaParse, LlamaExtract) and document intelligence platforms β€’ Solid understanding of AI evaluation frameworks (LangGraph evals, Agent evals, DeepEval) Key Responsibilities β€’ Design and develop agentic AI applications using LangGraph and LangMem frameworks β€’ Build intelligent document processing pipelines using LlamaParse and Azure Document Intelligence β€’ Implement advanced RAG systems with text-embedding-3-large and Azure DB for Postgres β€’ Lead hands-on development using Claude Code for rapid agentic workflow creation β€’ Establish AI observability and monitoring using Arize Phoenix and Azure AI Foundry β€’ Fine-tune and optimize Azure OpenAI GPT-5 models for financial document understanding β€’ Implement comprehensive evaluation strategies using LangGraph evals and DeepEval β€’ Collaborate with cross-functional teams on AI system architecture and deployment