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Senior Machine Learning Engineer

GSK is a global biopharmaceutical company focused on science with a special mission to help people do more, feel better and live longer.
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Healthcare · AI · Biotech

Job Description

GSK is seeking a Senior Machine Learning Engineer to join their AI/ML team working on cutting-edge applications of Machine Learning and AI in drug development. The role focuses on working with foundational genomics models and multiomics datasets to model RNA biology aspects, helping understand disease mechanisms and drug responses. The ideal candidate will have a strong track record in shipping ML-powered products in production environments, with expertise across machine learning methods and solid software engineering practices. The position requires graduate studies in Computer Science, Applied Mathematics, or equivalent, with 3+ years of industry experience. The team operates on principles of ownership, accountability, continuous development, and collaboration, offering long-term career growth opportunities. GSK's vision involves developing novel therapies and personalized drugs through advanced ML/AI applications, aiming for better patient outcomes at reduced costs. The role combines technical leadership with mentoring responsibilities, requiring both depth in machine learning and breadth in software engineering best practices.

Last updated a day ago

Responsibilities For Senior Machine Learning Engineer

  • Optimize, accelerate and solve problems in biological systems using literature-informed mathematical modeling
  • Build AIML models which interface with existing GSK systems
  • Design code architecture to operationalize data ingestion and processing
  • Aggressively test code against project specifications
  • Act as a technical mentor for junior team members
  • Frequently demo work and/or lessons learned for their team and/or organization

Requirements For Senior Machine Learning Engineer

Python
  • Significant industry experience in machine learning engineering
  • Graduate studies in Computer Science or Applied Mathematics
  • Advanced skills in Python
  • Advanced level in PyTorch, TensorFlow, or other deep learning frameworks
  • Breadth across the ML stack, and depth in at least one discipline
  • Demonstrated success shipping products powered by machine learning
  • 3+ years of industry experience building machine learning powered tools

Benefits For Senior Machine Learning Engineer

Medical Insurance
  • Career development opportunities
  • Flexible work arrangements
  • Equal opportunity employer
  • Inclusive work environment

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