Data Scientist

McGregor Boyall Associates Limited; Wealden; Remote; GBP 55,000 - 65,000; Full time

Job summary

A fast-growing healthcare organization is seeking an experienced Data Scientist to drive innovation and automation in clinical services. The role involves deploying LLM-based solutions, optimizing predictive models, and ensuring data governance in a remote UK setting. Candidates should have strong expertise in machine learning and deep learning, particularly with LLM frameworks. The position offers a competitive salary up to £65,000 plus a package.

Qualifications

• Strong experience with machine learning, deep learning, and LLMs.
• Proven experience with LLM frameworks and transformer-based architectures.
• Understanding of healthcare data privacy and compliance.

Responsibilities

• Research and deploy LLM-based solutions for document processing.
• Develop and optimize predictive models using key ML libraries.
• Design robust data pipelines for real-time and batch processing.

Skills

Machine learning

Deep learning

Large Language Models (LLMs)

Python

Predictive modeling

Data governance

Strong communication

Tools

scikit-learn

PyTorch

TensorFlow

XGBoost

Spark

Kafka

Databricks

MLflow

Docker

Kubernetes

Azure

Job description

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

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.
• 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

If this sounds like it could be a good fit, please apply.

McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.