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Senior AIML Platform Engineer

GSK is a global biopharma company focused on uniting science, technology and talent to get ahead of disease together.
San Francisco, CA, USASeattle, WA, USAProvidence, RI, USA
$149,325 - $248,875
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Healthcare · Biotech

Description For Senior AIML Platform Engineer

GSK is seeking a Senior AIML Platform Engineer to join their Onyx Research Data Tech organization, which is focused on building next-generation data and AI capabilities for medical research and drug discovery. The role combines cutting-edge AI/ML engineering with meaningful impact in healthcare and biotechnology.

The position sits within the AI/ML Platform Engineering team, which is building first-in-class tools and services covering MLOps/DevOps across Cloud and High-Performance Computing. The team's mission is to accelerate AI/ML development and raise engineering quality standards across the organization. This role offers the opportunity to work on large-scale AI systems that directly impact drug discovery and medical research.

The ideal candidate will bring deep technical expertise in Python, cloud platforms, and ML frameworks, combined with practical experience in building and optimizing ML systems at scale. They will lead the design of major platform components while working closely with data engineering and DevOps teams. The role offers significant technical challenges, from distributed training of large models to building robust MLOps pipelines.

GSK provides a comprehensive benefits package including competitive base salary, annual bonus, and equity participation. The company strongly supports personal development, allowing 20% time for professional growth. The work environment emphasizes ownership, accountability, and collaboration, with a focus on long-term career development.

This is an exceptional opportunity for an experienced ML engineer who wants to apply their skills to meaningful healthcare challenges while working with cutting-edge AI technologies. The role combines technical leadership, hands-on development, and the chance to impact global health outcomes through advanced AI applications.

Last updated a day ago

Responsibilities For Senior AIML Platform Engineer

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

Requirements For Senior AIML Platform Engineer

Python
Kubernetes
  • Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline
  • 6+ years industry experience with Bachelor's or 4+ years with Master's or 2+ years with PhD
  • 2+ years experience in AIML engineering
  • Deep knowledge of Python programming
  • Experience with cloud platforms (AWS, Google Cloud, Azure)
  • Experience with ML frameworks like PyTorch or TensorFlow
  • Experience with CI/CD implementations
  • Expertise with Docker, Kubernetes
  • Experience with High-Performance Computing

Benefits For Senior AIML Platform Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Health care and insurance benefits
  • Retirement benefits
  • Paid holidays
  • Vacation
  • Paid caregiver/parental and medical leave
  • Annual bonus
  • Share based long term incentive program

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