Applied AI ML Lead Researcher - Commercial and Investment Bank

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

Job summary

A leading financial institution in Greater London is seeking an Applied AI ML Lead Researcher to architect innovative AI solutions, mentor a team of engineers, and ensure the deployment of scalable AI applications. You will work on agentic AI to transform banking operations, using your expertise to tackle complex operational challenges. The role requires a deep understanding of AI fundamentals and a track record in commercial AI research. This opportunity offers a competitive salary and the chance to work with cutting-edge technology.

Qualifications

• Proven track record of deploying AI/ML applications in a production environment at scale.
• Research experience or work in a top commercial AI research lab.
• Deep understanding of AI fundamentals and practical experience.

Responsibilities

• Architect and develop GenAI and agentic solutions.
• Assist teams to solve priority use cases.
• Mentor and inspire a team of AI engineers.

Skills

AI fundamentals

Data analysis

Experimental design

Distributed computing

User feedback integration

High-performing AI teams

Education

PhD level education

Tools

AWS SageMaker

AWS Bedrock

Job description

Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.

As an Applied AI ML Lead Researcher in the Applied AI Research team you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.

Job Responsibilities:

• Architect and develop GenAI and agentic solutions to automate complex operational processes
• Assist Lines of Business and teams to directly solve priority use cases within the domain
• Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
• Design and build services and libraries that AI teams want to use
• Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
• Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
• Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact

Required Qualifications, Capabilities, and Skills:

• Research experience or work in a top commercial AI research lab
• Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
• Proven track record of deploying AI/ML applications in a production environment at scale
• Familiarity with distributed computing patterns for training, serving, and persistence of state
• Experience integrating user feedback to establish agentic refinement and self-improving AI applications
• Experience in building and leading high-performing AI teams

Preferred Qualifications, Capabilities, and Skills:

• Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
• PhD level education