
This full-time Lead Machine Learning Engineer role within Capital One's Agile teams focuses on productionizing machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and implementing continuous integration and deployment practices using languages like Python, Scala, or Java. The role appeals to candidates seeking to apply the latest innovations in machine learning engineering within a collaborative environment that emphasizes responsible AI and technical growth. The position is based in McLean, VA, New York, NY, or Plano, TX.











