Principal ML Architect

Responsibilities

• Own and govern end-to-end ML architectures for complex, high-impact AI initiatives across the enterprise
• Define and maintain standardized ML architecture patterns covering training, inference, batch, and real-time use cases
• Evolve the ML platform architecture, including experimentation, training, deployment, and monitoring capabilities
• Embed MLOps principles, Responsible AI principles, and security controls into architecture standards
• Act as the architectural bridge between delivery teams, ML platforms, and enterprise data and cloud architecture
• Mentor senior ML engineers and data scientists to raise architectural maturity and engineering quality

Requirements

• Deep expertise in end-to-end machine learning architecture, including model development and production deployment
• Proven experience designing cloud-native ML solutions on enterprise platforms such as Azure
• Advanced knowledge of MLOps practices, including CI/CD for ML, model monitoring, and lifecycle governance
• Strong understanding of data engineering, feature engineering, and ML pipelines
• 10+ years of experience across data, analytics, or engineering roles with significant depth in AI/ML
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field

Preferred Qualifications

• Experience working in regulated or high-risk ML environments
• Exposure to multiple ML domains including predictive modeling, NLP, optimization, or computer vision
• Familiarity with enterprise data platforms and analytics ecosystems
• Master's degree or PhD in a relevant discipline

About the Company

Haleon is a purpose-driven, world-class consumer company dedicated to putting everyday health in the hands of millions. With a trusted portfolio of brands including Sensodyne, Panadol, Advil, and Centrum, we combine deep human understanding with trusted science to deliver better everyday health with humanity.