Director, Ai/ml Engineering – Clinical Ai

GlaxoSmithKline

London, United Kingdom
Production-grade ai/ml products
End-to-end clinical ai/ml solutions
Data strategy
Lead a high-performing team of ML Engineers to design, develop, and deploy production-grade AI/ML products that accelerate GSK’s drug development programs

Job Summary

  • Lead a high-performing team of ML Engineers to design, develop, and deploy production-grade AI/ML products that accelerate GSK’s drug development programs.
  • Be accountable for building end-to-end clinical AI/ML solutions—from problem framing and data strategy, through model development and validation, to deployment and lifecycle management in production environments.
  • Develop a high-performing team through coaching, feedback and ensuring opportunities for growth, while maintaining a safe and inclusive team environment in which people thrive.

Matching Summary

Lead a high-performing team of ML Engineers to design, develop, and deploy production-grade AI/ML products that accelerate GSK’s drug development programs.

Skills & Requirements

Must-have

  • production-grade AI/ML products
  • end-to-end clinical AI/ML solutions
  • data strategy
  • model development and validation
  • deployment and lifecycle management
  • Python programming skills
  • deep learning algorithms
  • scalable training and deployment
  • cloud environments

Nice-to-have

  • ownership, accountability, continuous development, and collaboration
  • coaching, feedback and ensuring opportunities for growth
  • transparent communication
  • agile working culture
  • foundation models
  • representation learning
  • transfer learning on biomedical data
  • multimodal modelling
  • time series modelling

Key Requirements

  • Graduate studies in Computer Science or Applied Math
  • 5+ years of experience applying AI/ML in industry
  • 5+ years experience of professional software development practices
  • 2+ years experience in a technical lead or engineering manager role
  • Track record as an independent contributor
  • Proficiency with standard deep learning algorithms
  • Experience operating in cloud environments
  • Strong product mindset
  • Strong communication skills

Work Rights

Not specified

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