Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
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 join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both new and ongoing projects. As a Software Engineer III within the CIB Security Services Technology Applied AIML team, you will serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's objectives.

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.

Key responsibilities include developing and maintaining high-quality, secure applications using Python and AWS, creating architecture and design deliverables, integrating AIML solutions into complex domain-specific operations processing systems, participating in code reviews, design discussions, and agile planning sessions. You will collaborate with SRE and production monitoring teams to ensure system reliability and performance, contribute to software engineering communities of practice and technology events, and embrace continuous learning, creative problem-solving, and a can-do attitude.

Experience
- Proven hands-on experience in Python application development
- Proven hands-on experience developing, debugging, and maintaining production applications
- Familiarity with Machine Learning Operations (MLOps)
- Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Experience with Cloud services, Infrastructure as Code (IaC), and containerized application development preferred
- Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock preferred
- Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, and Large Language Model Operations (LLMOps) preferred
- Experience working on AIML systems and/or prior experience collaborating with data scientists preferred

About you
- Strong problem-solving, communication, and collaboration skills with the ability to convey design choices and communicate effectively with stakeholders
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
- Ability to guide peers on safe and effective usage of AI-assisted tools within team practices
- Embraces continuous learning, creative problem-solving, and a proactive, can-do attitude

Qualifications
- Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification
- Solid understanding of software development best practices, including version control, testing, and CI/CD