Applied AI & ML Lead - Markets Operations

J.P. Morgan; City Of London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading financial institution is looking for an Applied AI & ML Lead to drive AI/ML strategy and enhance Market Operations. You will lead a talented team, implementing innovative AI solutions and ensuring alignment with business objectives. Strong leadership, technical expertise in AI/ML, and experience in financial services are essential. This role offers the opportunity to make a significant impact while advancing your career in a dynamic and inclusive environment.

Qualifications

• Experience leading teams and projects from conception to production.
• Hands-on experience deploying machine learning models in production environments.
• Strong foundation in AI/ML concepts and statistical analysis.

Responsibilities

• Lead development of advanced machine learning models.
• Set technical vision for AI/ML initiatives.
• Oversee architecture of generative AI applications.
• Manage and mentor AI/ML scientists and engineers.

Skills

Leadership in AI/ML

Data analysis

Machine learning model training

Python proficiency

Problem-solving skills

Education

BSc/MSc in Data Science, Computer Science, AI or related

Tools

scikit-learn

TensorFlow

PyTorch

MLOps tools

AWS

GCP

Azure

Job description

Are you ready to shape the future of Market Operations with cutting-edge AI and ML? At JPMorgan Chase, you’ll have the opportunity to lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Join us to collaborate with industry leaders and advance your career in a dynamic, inclusive environment.

As an Applied AI & ML Lead in the Market Operations team, you will drive the strategy, design, and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning.

Job Responsibilities

• Lead the development, implementation, and scaling of advanced machine learning models and algorithms to address operational challenges
• Set technical vision and strategy for AI/ML initiatives, aligning with business goals
• Oversee the architecture and deployment of generative AI applications and agents to automate and enhance processes
• Manage and mentor a team of AI/ML scientists and engineers, fostering innovation and collaboration
• Ensure production-grade AI/ML applications and tools are built, maintained, and optimized
• Establish best practices for monitoring, evaluating, and improving solution performance
• Guide the analysis of large and complex datasets to identify trends and opportunities for automation
• Engage with subject matter experts and senior stakeholders to gather requirements and validate solutions
• Champion documentation of methodologies, results, and best practices for knowledge sharing
• Stay up to date with the latest AI/ML advancements and apply relevant techniques to business problems
• Represent the team in cross-functional forums and communicate technical concepts clearly

Required Qualifications, Capabilities, and Skills

• BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience)
• Leadership experience in AI/ML, including leading teams and projects from conception to production
• Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development
• Experience working with large, complex datasets and applying statistical analysis
• Hands‑on experience training, deploying, and maintaining machine learning models in production environments
• Proficiency in Python and relevant AI/ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)
• Experience with MLOps practices and tools for managing the machine learning lifecycle
• Experience building and deploying Generative AI applications, including familiarity with LLMOps
• Exposure to cloud platforms (e.g. AWS, GCP, Azure)
• Problem‑solving skills and ability to work independently and as a leader within cross‑functional teams
• Excellent communication skills, with the ability to present technical concepts to senior business stakeholders and non‑technical audiences

Preferred Qualifications, Capabilities, and Skills

• PhD in Data Science, Computer Science, Artificial Intelligence, or a related field
• Experience in financial services, banking, or Market Operations environments
• Experience leading AI/ML initiatives in a regulated industry

Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world’s leading financial institutions.