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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 focused on developing cutting-edge machine learning and AI solutions for drug discovery and development. This role sits at the intersection of artificial intelligence and healthcare, working specifically on the discovery of preclinical digital biomarkers that translate to clinical outcomes. The position offers an opportunity to work on meaningful projects that not only advance medical science but also promote ethical research practices through the 3Rs framework.

The ideal candidate will be an outstanding engineer with expertise in developing state-of-the-art deep learning models, particularly in computer vision applications. You'll be working with diverse research scientists, converting complex biological challenges into well-defined machine learning problems, and delivering production-grade AI-powered solutions.

GSK provides a collaborative environment where 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 four core therapeutic areas: infectious diseases, HIV, respiratory/immunology, and oncology, using advanced applications of Machine Learning and AI to develop novel therapies.

This role offers the opportunity to work on challenging real-world scientific problems while contributing to the development of potentially life-changing medical treatments. You'll be part of a company that values personal growth, encourages innovation, and provides opportunities to make a meaningful impact on global healthcare outcomes. The position comes with competitive benefits and the chance to work in a diverse, inclusive environment that supports professional development and work-life balance.

Last updated 16 hours 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 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
Dental Insurance
Vision Insurance
  • Flexible working culture
  • Inclusive workplace environment
  • Career development opportunities
  • Global company exposure

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