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 Q&A 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.