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AI/ML Engineer II

GSK is a global biopharma company focused on uniting science, technology and talent to get ahead of disease together, developing vaccines, specialty and general medicines.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Healthcare · Biotech

Description For AI/ML Engineer II

GSK is seeking an AI/ML Engineer II to join their innovative team working at the intersection of machine learning and drug discovery. This role focuses on developing cutting-edge deep learning models for solving complex biological and drug discovery challenges, particularly in the computer vision domain. The position offers an opportunity to work on meaningful projects that help develop novel therapies and improve drug development processes while advancing the 3Rs framework for ethical research.

The ideal candidate will combine strong software engineering skills with deep machine learning expertise, particularly in computer vision applications. You'll be working with a diverse team of research scientists, converting complex biological challenges into well-defined machine learning problems, and delivering production-grade AI solutions. The role requires expertise in PyTorch or TensorFlow, strong understanding of deep learning architectures, and experience with modern software development practices.

At GSK, you'll be part of a global biopharma company with a special purpose – uniting science, technology, and talent to get ahead of disease together. The company focuses on preventing and treating diseases through vaccines, specialty, and general medicines, with particular emphasis on four core therapeutic areas: infectious diseases, HIV, respiratory/immunology, and oncology.

This position offers the opportunity to work on meaningful projects that directly impact healthcare outcomes while being part of an organization that values personal growth, inclusion, and innovation. GSK provides a supportive environment where employees can thrive, grow their careers, and contribute to improving global health outcomes.

Last updated 2 days ago

Responsibilities For AI/ML Engineer II

  • Convert biological/drug discovery challenges into well-defined machine learning problems
  • Execute and deliver full AI/ML driven solutions from data sourcing to production deployment
  • Design and implement SOTA machine learning models
  • Ship stable, tested, performant code and services in an agile environment
  • Engage with research scientists to solve complex problems in the preclinical domain

Requirements For AI/ML Engineer II

Python
  • Degree in quantitative or engineering discipline or equivalent work experience
  • Experience in developing deep learning models for scientific problems
  • Advanced skills in Pythonic programming
  • Proficiency with standard deep learning algorithms and model architectures
  • Experience in deep learning for computer vision
  • Advanced level in PyTorch or Tensorflow
  • Experience with devops stacks: version control, CI/CD, containerization
  • Understanding of security and privacy best practices

Benefits For AI/ML Engineer II

Medical Insurance
  • Career growth opportunities
  • Flexible working arrangements
  • Global work environment
  • Inclusive workplace culture

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