Staff Machine Learning Engineer

Own and drive large-scale, end-to-end ML systems powering recommendations, ranking, and personalization, influencing product and technical direction

Design and architect scalable ML platforms and pipelines, integrating data processing, training, evaluation, and deployment (e.g. Spark, Airflow)

Build and optimise advanced models using modern ML frameworks (e.g. PyTorch), ensuring performance, scalability, and reliability in production

Lead the development of LLM-powered systems and AI agents, including prompt design, fine-tuning, and system integration

Establish best practices for experimentation, including robust A/B testing and evaluation methodologies

Collaborate cross-functionally at depth, partnering with Product, Engineering, and Data to shape strategy and deliver impactful ML solutions

Mentor and elevate engineers across the team, fostering a culture of Respect, ownership, and technical excellence

Take ownership of highly ambiguous problem spaces, seeing initiatives through from insight to impact while adapting with an agile mindset