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Applied AI/ML Associate: Revamping Onboarding & Ops

JPMorgan Chase & Co.

Greater London

On-site

GBP 60,000 - 80,000

Full time

4 days ago
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Job summary

A leading financial institution in the UK seeks an Applied Artificial Intelligence & Machine Learning Associate to innovate customer onboarding and software practices. The role involves collaborating with engineers and stakeholders to implement AI solutions that enhance KYC operations and the software development lifecycle. Candidates should possess a relevant degree and strong programming skills. This opportunity offers a dynamic and collaborative work environment, emphasizing continuous learning and impactful contributions.

Qualifications

  • 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.

Responsibilities

  • Formulates and drives implementation of AI solutions for KYC and onboarding operations.
  • Builds scalable AI and Machine Learning capabilities.
  • Works with engineering to design and deploy services.
  • Conducts data analysis to support decision-making.
  • Documents and explains Machine Learning approaches.

Skills

Artificial Intelligence techniques
Machine Learning
Python programming
Statistical data analysis

Education

Master’s or Bachelor's Degree in Machine Learning or related field
PhD in Machine Learning or Computing Science
Job description
A leading financial institution in the UK seeks an Applied Artificial Intelligence & Machine Learning Associate to innovate customer onboarding and software practices. The role involves collaborating with engineers and stakeholders to implement AI solutions that enhance KYC operations and the software development lifecycle. Candidates should possess a relevant degree and strong programming skills. This opportunity offers a dynamic and collaborative work environment, emphasizing continuous learning and impactful contributions.
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