Location: LONDON, LONDON, United Kingdom

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.

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.

Job Responsibilities:

• 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

 

Required Qualifications, Capabilities, and Skills:

• 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)

Drive innovation by engineering and deploying machine learning solutions using AWS and Python in a collaborative, cloud-focused team.