Principal ML/AI Engineer - Python | Greenfield AI Platform (Contract) We are seeking a Principal / Senior AI/ML Engineer with a strong foundation in software engineering and Python development, to join a globally renowned organisation at the forefront of AI innovation. This is a rare chance to work on greenfield AI/ML projects, delivering transformative solutions that will shape the future of intelligent systems.. You will be a hands-on technical leader, combining architectural insight with coding expertise to drive the design, development, and deployment of scalable machine learning platforms and models. This is a contract position offering immediate impact and long-term potential. • Architect and implement production-ready ML systems using Python and modern frameworks. • Lead technical design discussions and influence system-level decisions across greenfield initiatives. • Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. • Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality. • Collaborate with cross-functional teams including data scientists, platform engineers, and product stakeholders to align AI solutions with business goals. Experience • Strong commercial experience in Python with a deep understanding of software engineering principles. • Demonstrated expertise in building ML systems in production environments (not just notebooks or research). • Proven leadership experience in either a senior IC or tech lead/managerial capacity. • Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). • Comfortable navigating greenfield environments and driving projects from concept to execution. • Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline Why Join? • Greenfield impact: Shape the direction of new AI/ML products from day one. • Global scale: Work with one of the world’s most respected organisations on high-visibility projects. • Engineering-driven culture: Prioritising quality, autonomy, and continuous learning. If you're a seasoned AI/ML engineer who thrives in high-autonomy environments, and you’re passionate about solving real-world problems with software and data — we’d love to hear from you.