Remote contract Outside IR 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 ..... full job details .....