Software Engineer III – Applied AI/ML Python Software Engineer

2 weeks ago

London, Greater London, United Kingdom JPMorgan Chase Full time £90,000 - £120,000 per year

J.P. Morgan is seeking a Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects.

In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies.

Job Responsibilities

  • Develop and maintain high-quality applications using Python, Kubernetes, and AWS.
  • Design and integrate AI/ML solutions into complex, domain-specific operations processing systems.
  • Implement RESTful APIs and messaging applications to interface with upstream and downstream systems.
  • Participate in code reviews, design discussions, and agile planning sessions.
  • Collaborate with SRE and production monitoring teams to ensure system reliability and performance.

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification.
  • Proven hands-on experience in Python application development.
  • Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock.
  • Understanding of software development best practices, including version control, testing, and CI/CD.
  • Strong problem-solving, communication, and collaboration skills; comfortable working in an agile team environment.

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