Software Engineer III - Python, AIML, Cloud

JPMorgan Chase & Co.
Charing Cross, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Code Review
Continuous Integration
Relational Databases
Software Debugging
Python
PostgreSQL
Machine Learning
Cloud Services
Software Engineering
Large Language Models
Infrastructure as Code (IaC)
Kubernetes
Information Technology
Kafka
Machine Learning Operations
Artificial Intelligence Markup Language (AIML)
Software Version Control
Docker

Job description

As a Software Engineer III at JPMorgan Chase within the Applied AI/ML group, you will engineer and deploy cloud-based frameworks for hosting machine learning models. You will work closely with Data Scientists and technology teams to ensure models are production-ready and meet software development lifecycle standards. Your role involves leveraging both internal and external cloud platforms, integrating new and existing technologies, and contributing to a dynamic engineering community. You will help promote the adoption of best practices and foster a culture of innovation., * Develop and maintain secure, high-quality applications using Python and AWS

  • Create architecture and design artifacts
  • Integrate AI/ML solutions into complex operations processing systems
  • Participate in code reviews, design discussions, and agile planning sessions
  • Collaborate with SRE and production monitoring teams to ensure reliability and performance
  • Contribute to engineering communities of practice and technology events
  • Embrace continuous learning and creative problem-solving

Requirements

  • Formal training or certification on infrastructure engineering concepts and expanding applied experience
  • Bachelor's degree or higher in Computer Science, Engineering, or related field, or equivalent formal training/certification
  • Hands-on experience in Python application development
  • Experience developing, debugging, and maintaining production applications
  • Understanding of software development best practices, including version control, testing, and CI/CD
  • Strong problem-solving, communication, and collaboration skills

Preferred Qualifications, Capabilities, and Skills:

  • Experience with cloud services, Infrastructure as Code (IaC), and containerized application development
  • Familiarity with relational databases (such as Postgres) and AWS services including S3, EKS, SageMaker, and Bedrock
  • Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, and Large Language Models
  • Familiarity with Machine Learning Operations (MLOps)

About the company

Join us to shape the future of machine learning at J.P. Morgan, where your expertise in AWS and Python will help deliver impactful solutions. You'll collaborate with talented Data Scientists and technology teams, working on projects that push the boundaries of what's possible. We value your creativity, drive for continuous learning, and commitment to excellence. Here, you'll find opportunities for career growth and the chance to make a real difference. Be part of a team that thrives on innovation and collaboration., J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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