Data Scientist

John Goddard Associates
Uckfield, England
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

PoliceAI: Senior AI Engineer

College of Policing London, Eng, United Kingdom
£78,000 – £85,000 pa Remote

Data Scientist

Adecco London, City And County Of the City Of London, United Kingdom

Data Scientist

Michael Page Leeds, West Yorkshire, United Kingdom
£40,000 – £48,000 pa

Data Scientist

VIQU IT Cardiff, South Glamorgan, CF10 2AF, United Kingdom
£300 – £325 pd

Data Scientist

DCV Technologies Manchester, United Kingdom
£550 – £600 pd On-site

Data Scientist

MRJ Recruitment Manchester, United Kingdom
£450 – £525 pd Contract

Data Scientist

Euro Projects Recruitment Basford, Nottinghamshire, United Kingdom
£35,000 – £40,000 pa
Posted
16 Oct 2025 (12 months ago)

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

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


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.