Senior Machine Learning Engineer

Build and deploy machine learning models that improve recommendations, ranking, and personalization, driving measurable impact on user experience and engagement

Own problems end-to-end, from data exploration and feature engineering through to model training, evaluation, and production deployment

Develop and maintain scalable ML pipelines using tools such as Spark and Airflow to support reliable, high-quality model delivery

Apply modern ML frameworks (e.g. PyTorch or TensorFlow) to design, train, and optimise models in production environments

Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model performance with an agile mindset

Collaborate cross-functionally with Product and Engineering, working with purpose to translate product questions into ML solutions

Take ownership of delivering high-quality solutions and see work through from insight to impact, balancing speed and rigor

Apply responsible AI practices, ensuring fairness, transparency, and safety are considered in model development and deployment