Applied AI ML Associate - AI for Operations - Customer Onboarding and Documentation

Testing Site - JPMC

Greater London

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Job summary

JPMorgan Chase in London seeks an Applied Artificial Intelligence & Machine Learning Associate to advance client onboarding and software engineering practices. You will work with software engineers, stakeholders, and ML experts to identify improvements and implement AI solutions.

Role emphasizes data analysis, AI/ML techniques, and collaboration across diverse teams to deliver practical, scalable capabilities in a financial services context.

Qualifications

  • Degree in ML or related field required.
  • Strong understanding of AI/ML techniques.
  • Experience with data analysis and experimental design.
  • Proficiency in Python.
  • Excellent communication with technical and business audiences.
  • Experience working in multi-disciplinary teams.

Responsibilities

  • Formulates, communicates, and drives implementation of AI solutions for KYC onboarding operations and software engineering.
  • Builds robust, scalable AI/ML capabilities.
  • Collaborates with software engineering to deploy services integrated with strategic systems.
  • Learns about and understands supported business to drive practical solutions.
  • Conducts data analysis to identify trends and support decision-making.
  • Documents rationale and design considerations for ML approaches.
  • Provides updates on project status to senior management and stakeholders.

Skills

Python
ML concepts
Data analysis
Communication
Teamwork
Statistics

Education

Bachelor's or Master's in ML/CS

Tools

Pandas
Scikit-learn
SQL

Job description


Join us at the forefront of AI innovation, where your expertise will shape the future of operations and technology. You’ll collaborate with talented engineers, researchers, and business leaders to deliver impactful solutions. At JPMorgan Chase, we empower you to grow your career while making a real difference. Be part of a team that values creativity, collaboration, and continuous learning. Your contributions will help us redefine what’s possible in financial services.


As an Applied Artificial Intelligence & Machine Learning Associate in Operations, you will work within an applied AI team dedicated to transforming customer onboarding and software engineering practices. You will partner with software engineers, business stakeholders, and machine learning experts to identify and implement efficiency improvements. Your work will directly impact KYC and onboarding operations, as well as the software development lifecycle. You will help foster a culture of innovation and excellence.

Job responsibilities
  • Formulates, communicates, and drives implementation of Artificial Intelligence solutions for challenging problems in KYC and onboarding operations and software engineering
  • Builds robust, scalable, and reusable Artificial Intelligence and Machine Learning capabilities
  • Works with software engineering to design and deploy services that can be integrated with strategic systems and processes
  • Learns about and understands our supported business to drive practical and successful solutions
  • Conducts comprehensive data analysis and identifies trends, patterns, and anomalies to support strategic decision‑making.
  • Documents and explains the rationale and design considerations behind the selection of Machine Learning approaches
  • Provides updates on the project status to senior management and stakeholders
Required qualifications, capabilities, and skills
  • Master’s or Bachelor's Degree in an Machine Learning or related field
  • Proficient understanding of fundamental Artificial Intelligence and Machine Learning techniques
  • Practical experience with statistical data analysis and experimental design
  • Programming skills in Python
  • Effective verbal and written communication skills with technical and business audiences
  • Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds
Preferred qualifications, capabilities, and skills
  • PhD in Machine Learning, Computing Science, or related fields
  • Research or work experience in using Artificial Intelligence for Finance or Tech
  • Presentation skills, strong client partnership & stakeholder and project management skills

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