Lead Machine Learning Engineer

Lead the design and delivery of end-to-end ML systems powering recommendations, ranking, and personalization, driving measurable improvements in user outcomes

Architect and optimise ML pipelines, integrating data processing, model training, evaluation, and deployment into scalable systems (e.g. Spark, Airflow)

Build and deploy advanced models using modern frameworks (e.g. PyTorch), ensuring robustness in high-scale production environments

Develop and apply LLM-based capabilities, including prompt design and fine-tuning approaches for production use cases

Drive experimentation strategy, including A/B testing and offline evaluation, to continuously improve performance and inform product decisions

Partner cross-functionally with Product, Engineering, and Data teams, collaborating with purpose to translate business challenges into ML solutions

Mentor and support other engineers, fostering a culture of Curiosity, ownership, and continuous improvement