A fast-growing healthcare organization is seeking a

Data Scientist

with strong experience in

machine learning, deep learning, and Large Language Models (LLMs)

to help drive innovation and automation in clinical services. This is a

full-time, remote UK-based role .Important:

Unfortunately we can''t consider candidates that require sponsorship.Key Responsibilities

Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical QandA systems.Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost.Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing.Manage ML lifecycle with tools such as Databricks, MLflow, and cloud-native platforms (Azure preferred).Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001).Ensure data governance, particularly around sensitive healthcare data.Share best practices and stay current with developments in AI, ML, and LLMs.Qualifications

Proven experience with LLM frameworks and transformer-based architectures.Strong Python skills and familiarity with key ML/DL libraries.Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools.Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling.Strong communication skills and ability to work cross-functionally in a collaborative environment.McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.

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