AIML Software Engineer, AI for Science

GSK seeks software engineers to develop scalable cloud infrastructure supporting large-scale AI models and agentic systems. The role focuses on building production-grade, data-driven solutions that enable scientific research using modern cloud technologies and biomedical data sources.

Key Responsibilities

• Design scalable infrastructure for AI/ML workloads across development lifecycle
• Implement machine learning pipelines handling massive datasets efficiently
• Develop cloud-native architectures for deployment and scaling
• Deliver robust, tested code in agile environments
• Collaborate with AI engineers, data scientists, and domain experts

Required Qualifications

• Degree in quantitative/engineering discipline OR equivalent professional experience
• Advanced Python programming expertise
• Cloud platform experience (AWS, GCP, Azure)
• Understanding of deep learning frameworks (PyTorch, JAX, TensorFlow)
• Knowledge of CI/CD, containerization, infrastructure-as-code
• Shell scripting and command-line proficiency
• Problem-solving skills in cluster/cloud environments

Preferred Qualifications

• Machine learning principles familiarity
• Commercial cloud-native software deployment experience
• Large-scale AI model production deployment
• Distributed training pipeline expertise
• Performance and cost optimization skills
• Open-source contributions
• Biomedical data experience (genomics, clinical imaging)

Application Deadline: February 26, 2026