Job Title

The Opportunity :We’re delighted to be working with a VC backed AI start-up currently in a period of growth that are that’s redefining how people learn - and they’re hiring.Our client is a well-funded UK-based company operating at the intersection of large language models and learning science. Their mission is to deliver fast, reliable, and personalized educational experiences powered by cutting-edge AI. They’ve recently secured significant funding and are now looking for an AI/ML Engineer to join their founding team.This role is ideal for someone who thrives on solving hard technical problems — particularly around reducing hallucinations in LLMs and optimizing latency for real-time learning applications.What you’ll do:Develop and deploy techniques to minimize hallucinations in LLM-generated educational contentOptimize latency across model inference, token streaming, and content delivery pipelinesBuild and evaluate custom datasets for grounding, factual accuracy, and curriculum alignmentCollaborate with product, engineering, and learning science teams to ship production-ready AI featuresStay current with research in LLM alignment, quantization, and retrieval-augmented generationWhat we’re looking for:4+ years experience in ML/AI engineering (LLMs, transformers, generative models)Strong Python skills and experience with PyTorch, Hugging Face, or similar frameworksProven track record in latency optimization (e.g. batching, quantization, caching strategies)Familiarity with hallucination mitigation techniques (e.g. RAG, chain-of-thought, fact-checking)Bonus: experience in edtech, instructional design, or learning science