Taro Logo

GenAI Platform Engineer II

GSK is a global biopharma company uniting science, technology and talent to get ahead of disease together, focusing on specialty medicines and vaccines in therapeutic areas like respiratory, immunology, oncology, and HIV.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Healthcare · Biotech

Job Description

GSK's Onyx Research Data Tech organization is seeking a GenAI Platform Engineer II to join their innovative team. This role is part of GSK's mission to leverage advanced AI and GenAI applications for developing transformational medicines using genetics, functional genomics, and machine learning. The position sits within the GenAI Engineering team, which focuses on developing first-in-class GenAI capabilities at scale, including complex agent architectures, LLM training, and optimized deployments.

The ideal candidate will have strong software engineering experience with a focus on machine learning and AI technologies. You'll be working with cutting-edge technologies including LLMs, cloud platforms, and modern ML frameworks. The role offers the opportunity to impact R&D teams across GSK while working on production-grade multi-agent applications.

GSK provides a supportive environment where engineers can dedicate 20% of their time towards personal development. The company culture emphasizes ownership, accountability, and collaboration, making it an excellent opportunity for those looking to make a significant impact in the healthcare and biotech industry through AI innovation.

The position requires expertise in Python, cloud technologies, and ML frameworks, with hands-on experience in LLM training and deployments. You'll be working with modern development tools and practices, including DevOps, Kubernetes, and various ML platforms. This is an excellent opportunity for a mid-level engineer looking to advance their career in AI while contributing to meaningful healthcare solutions.

Last updated 3 days ago

Responsibilities For GenAI Platform Engineer II

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

Requirements For GenAI Platform Engineer II

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

Benefits For GenAI Platform Engineer II

Education Budget
  • Education Budget

Related Jobs

GenAI Platform Engineer II

GenAI Platform Engineer II position at GSK, focusing on developing and implementing AI/ML solutions for pharmaceutical research and development.

GenAI Platform Engineer II

GenAI Platform Engineer II position at GSK, focusing on developing and implementing large-scale AI solutions for healthcare and medical research.

GenAI Platform Engineer II

GenAI Platform Engineer II position at GSK, focusing on developing and implementing large-scale AI and machine learning solutions for healthcare innovation.

Software Engineer II, ML Processing and Analysis

Software Engineer II position at Google focusing on ML Processing and Analysis, building data optimization tools and platforms to improve model quality.

Software Engineer II, Applied Machine Learning

Software Engineer II position at Google focusing on Applied Machine Learning and GenAI integration into Google Workspace products, based in London.