Applied AI & ML Lead â Markets Operations

慨正橡扯; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

慨正橡扯 seeking an Applied AI & ML Lead to drive AI/ML solutions in Market Operations. The successful candidate will lead a team, solve complex challenges, and contribute to cutting-edge developments.

This role requires a MSc or PhD and experience in deploying AI applications in production settings. Collaborate with multidisciplinary teams and enhance operational efficiency through innovative technology.

Qualifications

• Proven experience building and deploying AI applications in large-scale production environments.
• Experience managing data science teams and coaching team members.
• Strong understanding of data preprocessing and feature engineering.

Responsibilities

• Lead the development and delivery of advanced machine learning models.
• Partner with AI Engineering teams for robust architecture design.
• Mentor a team of AI/ML data scientists.

Skills

Python

Machine learning frameworks (PyTorch, TensorFlow, scikit-learn)

MLOps practices and tools

Statistical analysis

Problem-solving

Strong communication skills

Education

MSc or PhD in Computer Science, Data Science, Machine Learning, or related field

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

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.

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.

Equal Opportunity Employer

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.