Overview
Data Scientist (LLMs & ML) - UK Remote
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.
***Unfortunately we can't consider candidates that require sponsorship***
Compensation: Up to £65,000 + package
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.
* 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.
Qualifications
* Mid-Senior level
* Full-time
* Information Technology / Medical Practices industries
McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
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