AI Trainer (Conversational AI/LLM Optimisation)

Remote contract | Outside IR35 | £350 per day | Initial 6-month term with planned extension to 12 months Project snapshot Help a major healthcare client launch a WhatsApp-based AI chatbot hosted on Microsoft Azure. You'll steer the continual learning loop that keeps the bot accurate, safe, and clinically relevant. Key responsibilities . Curate, label and augment real chat data to fine-tune a large-language-model (Azure OpenAI, Hugging Face, etc.) . Design and run evaluation experiments (precision/recall, BLEU, CSAT, etc.), then turn findings into actionable model tweaks. . Optimise prompts, retrieval-augmented-generation (RAG) chains and guard-rails to meet healthcare compliance standards (GDPR, ISO 27001, NHS DSPT). . Define a repeatable training pipeline (MLflow or Azure ML) and performance dashboards for business stakeholders. . Champion Responsible-AI best practice - bias checks, explainability, audit logs and drift monitoring. . Work hand-in-hand with the chatbot dev team on release cadences and incident response. Essential skills * Hands-on fine-tuning of LLMs and prompt-engineering in Python. * Azure ML, Cognitive Services, or comparable cloud ML stack. * Data labelling tooling (Label'studio, Prodigy, Scale, or similar). * Statistical testing, experiment design and curation of training corpora. Desirable * Experience with healthcare vocabularies (SNOMED, FHIR) or NHS IG. * Familiarity with WhatsApp Business API