JPMorgan Applied AI ML Director 

United Kingdom, England, London 

440248652

Job responsibilities:

• Lead the formulation and development of AI solutions to tackle complex challenges in Markets Operations, ensuring alignment with business objectives.
• Oversee the design, development, and deployment of robust, scalable, and reusable machine learning models and systems that deliver measurable business impact.
• Actively contribute to coding efforts, ensuring high technical standards and best practices are maintained across all projects.
• Collaborate with engineering and business teams to seamlessly integrate AI services into strategic systems and processes, enhancing operational efficiency.
• Work with business partners to redefine processes and controls for an AI-first Operations business, driving innovation and efficiency.
• Establish comprehensive evaluation frameworks to assess model performance and drive continuous improvement in alignment with business goals.
• Deepen your understanding of the Markets business to identify opportunities for AI-driven innovation and deliver practical, impactful solutions.
• Lead, mentor, and inspire a team of AI practitioners, fostering a culture of excellence, innovation, and continuous learning.

Required qualifications, experience, and skills:

• Master’s or higher qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field.
• Extensive experience in leading and managing high-performing AI or data science teams.
• Deep understanding of fundamental machine learning approaches and practical experience with statistical data analysis and experimental design.
• Proven track record of developing and deploying data science and ML capabilities in production at scale.
• Strong experience with Python programming and common ML frameworks (e.g., PyTorch, Pandas, NumPy) and MLOps platforms (e.g., SageMaker).
• Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Demonstrated ability to work effectively on multi-disciplinary teams with diverse backgrounds.