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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
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Hands-on fine-tuning of LLMs and prompt-engineering in Python.
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Azure ML, Cognitive Services, or comparable cloud ML stack.
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Data labelling tooling (Label'studio, Prodigy, Scale, or similar).
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Statistical testing, experiment design and curation of training corpora.
Desirable
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Experience with healthcare vocabularies (SNOMED, FHIR) or NHS IG.
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Familiarity with WhatsApp Business API
