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AIML Platform 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 AIML Platform Engineer II

GSK's Onyx Research Data Tech organization is seeking an AIML Platform Engineer II to join their team building next-generation AI/ML platforms. The role is part of GSK's mission to leverage advanced AI applications for developing transformational medicines using genetics, functional genomics, and machine learning. The AI/ML Platform Engineering team focuses on building first-in-class tools and services covering MLOps/DevOps across Cloud and High-Performance Computing.

The ideal candidate will have strong software engineering experience in AI/ML and MLOps, with deep expertise in Python, cloud platforms, and modern development practices. They will work on designing and developing major platform components, focusing on usability, reproducibility, and performance at scale. The role involves collaboration with various teams including GenAI Platform, DevOps, Compute and Cloud teams.

GSK offers a supportive environment where individuals can dedicate 20% of their time towards personal development. The company values diversity, inclusion, and work-life balance, providing flexible working arrangements. As part of a global biopharma leader, you'll contribute to GSK's mission of getting ahead of disease and positively impacting billions of people's health.

The position is based in London at The Stanley Building, offering the opportunity to work with cutting-edge AI/ML technologies and contribute to meaningful healthcare innovations. GSK provides comprehensive benefits including medical, dental, and vision insurance, along with career development opportunities in an inclusive work environment.

Last updated 6 hours ago

Responsibilities For AIML Platform Engineer II

  • Serve as a key engineer for the AIML platform
  • Co-design major software components of the AIML Platform
  • Contribute to development of production code in Python
  • Integrate with DataOps and Data Engineering products
  • Participate in scrum team
  • Design innovative strategies for better user environment
  • Maintain CI/CD best practices

Requirements For AIML Platform Engineer II

Python
Kubernetes
  • Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline
  • Experience in industry in software engineering in AIML and MLOps roles
  • Deep knowledge of Python programming language
  • Experience with ML frameworks like PyTorch or TensorFlow
  • Experience with Cloud platforms (AWS, Google Cloud, Azure)
  • Experience with CI/CD implementations
  • Experience with Docker, Kubernetes, and CNCF ecosystem

Benefits For AIML Platform Engineer II

Medical Insurance
Dental Insurance
Vision Insurance
  • Career development opportunities
  • Flexible working arrangements
  • Inclusive work environment
  • 20% time for personal development

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