Queen Square Recruitment

Gen AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Engineer in London, UK, on a 6-month contract at £370/day. Requires a PhD or equivalent, 5+ years in AI (NLP, NLG, CV), expertise in LLMs, Graph RAG, and cloud tools like Azure.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
370
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🗓️ - Date
November 6, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Model Deployment #Databricks #Monitoring #Azure Databricks #Scala #Cloud #Data Science #GitHub #Azure #Compliance #AI (Artificial Intelligence) #FastAPI #Security #Azure DevOps #Deployment #NLP (Natural Language Processing) #DevOps #NLG (Natural Language Generation) #Langchain #Statistics #API (Application Programming Interface) #Python #ML (Machine Learning) #Libraries
Role description
Job Ad – Gen AI Engineer (Contract) – London, UK Role: Gen AI Engineer Location: London, United Kingdom (Office-based) Contract: 6 Months Rate: £370/day (negotiable) About the Role: We are seeking a Senior Gen AI Engineer to develop and deploy advanced Generative AI products, including fine-tuning LLMs and implementing Graph RAG solutions. You will implement and optimize Gen AI agents for the Global Supply Chain, delivering scalable, secure, and cost-effective AI solutions. Key Responsibilities: • Prototype and deploy Generative AI applications for business objectives. • Implement LLMs, Graph RAG, and AI/ML solutions in production environments. • Develop automated processes (LLMOps) and CI/CD pipelines. • Collaborate with cross-functional teams to integrate AI into business workflows. • Ensure security, compliance, and AI governance standards. • Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: • Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. • 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI. • Expertise in fine-tuning/training LLMs and Graph RAG solutions in production. • Proficiency in cloud services and tools: Azure, Databricks, Azure ML, Vertex AI, Azure AI Services, Azure DevOps. • Strong Python and LLM libraries experience: langchain, LangGraph, semantic kernel, promptflow, Autogen. • Software engineering skills, including API development, FastAPI, Asyncio, and frontend integration. • Experience with Gen AI model deployment, monitoring, CI/CD pipelines (Weights & Biases, GitHub). • Strong understanding of AI security, compliance, and ethical best practices. Desirable: • AI/ML certifications (e.g., Azure AI Engineer Associate). • Excellent collaboration, communication, and problem-solving skills.