Software Engineer III in AI/ML Data Platforms at J.P. Morgan in London, United Kingdom, will deliver critical technology solutions that support the firm’s business objectives. You will collaborate with AI researchers and data scientists to advance experiments into scalable, production-grade applications, and build platform and application capabilities, including generative AI solutions, with a focus on security, stability, and operational excellence. You will mentor junior engineers, help drive engineering practices across the team, and contribute to a culture of diversity, opportunity, inclusion, and respect. The role involves delivering solutions using continuous integration and continuous delivery pipelines to public and private cloud platforms, supporting experimentation environments (e.g., Jupyter Notebooks), and applying enterprise-authorized AI-assisted development tools while ensuring code quality through peer review, automated testing, and secure coding standards. Required qualifications include formal training in software engineering with applied full-stack development experience, practical experience with infrastructure as code (Terraform), hands-on experience building and supporting applications, proficiency in Python, experience with automation and CI/CD, and a solid understanding of the Software Development Life Cycle and Agile methodologies. Preferred qualifications include experience using AI tools to improve productivity, a proactive problem-solving approach, willingness to learn new technologies, exposure to business-facing environments such as risk or tra

Software Engineer III in AI/ML Data Platforms at J.P. Morgan in London, United Kingdom, will deliver critical technology solutions that support the firm’s business objectives. You will collaborate with AI researchers and data scientists to advance experiments into scalable, production-grade applications, and build platform and application capabilities, including generative AI solutions, with a focus on security, stability, and operational excellence. You will mentor junior engineers, help drive engineering practices across the team, and contribute to a culture of diversity, opportunity, inclusion, and respect. The role involves delivering solutions using continuous integration and continuous delivery pipelines to public and private cloud platforms, supporting experimentation environments (e.g., Jupyter Notebooks), and applying enterprise-authorized AI-assisted development tools while ensuring code quality through peer review, automated testing, and secure coding standards. Required qualifications include formal training in software engineering with applied full-stack development experience, practical experience with infrastructure as code (Terraform), hands-on experience building and supporting applications, proficiency in Python, experience with automation and CI/CD, and a solid understanding of the Software Development Life Cycle and Agile methodologies. Preferred qualifications include experience using AI tools to improve productivity, a proactive problem-solving approach, willingness to learn new technologies, exposure to business-facing environments such as risk or tra