Applied AI & ML Lead - Markets Operations

Next Frontier Capital; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorganChase in London seeks an Applied AI & ML Lead to drive design and delivery of AI/ML solutions for Market Operations, leading a team of scientists and engineers and partnering with business stakeholders to deliver measurable impact.

You will set technical direction, foster collaboration, ensure production-grade systems, and advance AI initiatives across cloud and container ecosystems, with governance, monitoring, and scalable deployment at the core.

Qualifications

• MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.
• Proven experience building and deploying AI applications in large-scale production environments.
• Experience with MLOps practices and tools for managing the machine learning lifecycle.
• Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and evaluation techniques.
• Experience working with large, complex datasets and applying statistical analysis.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Experience managing data science teams and coaching team members.
• Problem-solving skills and ability to work independently and as a leader within cross-functional teams.
• Strong communication skills for both technical and non-technical audiences.

Responsibilities

• Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.
• Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.
• Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.
• Ensure production-grade AI/ML applications and tools are built, maintained, and optimized.
• Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment.
• Champion documentation of methodologies, results, and best practices for knowledge sharing.
• Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.
• Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
• Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.

Skills

Python

ML/DL engineering

MLOps

Team leadership

Stakeholder collaboration

Cloud platforms

Education

MSc or PhD in Computer Science, Data Science, ML or related field

Tools

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

AWS

Azure

GCP

Job description

Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you’ll 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. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference.

As an Applied AI & ML Lead in the Market Operations team, you will drive the 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 end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.
• Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.
• Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.
• Ensure production-grade AI/ML applications and tools are built, maintained, and optimized.
• Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment.
• Champion documentation of methodologies, results, and best practices for knowledge sharing.
• Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.
• Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
• Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.

Required Qualifications, Capabilities, and Skills:

• MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.
• Proven experience building and deploying AI applications in large-scale production environments.
• Experience with MLOps practices and tools for managing the machine learning lifecycle.
• Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and evaluation techniques.
• Experience working with large, complex datasets and applying statistical analysis.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Experience managing data science teams and coaching team members.
• Problem-solving skills and ability to work independently and as a leader within cross-functional teams.
• Strong communication skills for both technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.
• Hands-on experience with agentic frameworks (LangChain, LangGraph).
• Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.
• Demonstrated experience in financial services, particularly investment banking operations.

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.

#CIBAppliedAI

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Drive AI and machine learning innovation in Market Operations, leading a collaborative team to deliver impactful solutions.