JPMorgan Applied AI/ML Software Engineer III 

United Kingdom, Scotland 

204817909

Job responsibilities

• Executes research and experimentation with Large Language Models and other Generative AI technologies to solve complex risk technology challenges
• Produces scalable and production-ready AI systems that integrate with existing risk calculation frameworks
• Gathers, analyzes, and synthesizes insights from diverse data sets to improve AI model performance and risk assessment capabilities
• Writes secure and high-quality code using Python and relevant AI/ML frameworks
• Designs and implements AI solutions that enhance operational efficiencies across business and technology functions
• Design and develop fast, responsive and visually appealing user interfaces using React, HTML, and CSS, ensuring a seamless user experience.
• Implement and maintain reusable code and libraries for future use, ensuring consistency and efficiency in UI as well as backend development.
• Mentors junior team members in AI/ML technologies and approaches
• Participate in code reviews and provide constructive feedback to peers, fostering a culture of continuous improvement and learning.
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on AI/ML applications, software engineering concepts and proficient applied experience
• Hands-on experience with Large Language Models (GPT, BERT, etc.)
• Strong understanding of Generative AI concepts and applications
• Proficiency in prompt engineering techniques
• Advanced Python programming skills
• Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Familiarity with cloud-based AI services (AWS, Azure, or GCP)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Overall knowledge of the Software Development Life Cycle, with a focus on both front-end and back-end development processes and best practices.
• Strong communication skills to explain complex technical concepts

Preferred qualifications, capabilities, and skills

• Experience working in financial domain is a plus.
• Knowledge of model fine-tuning and Retrieval Augmented Generation (RAG)
• Experience with AWS/Databricks/Kubernetes/AI & ML.
• Experience with large-scale database technologies
• Previous experience applying AI solutions to business problems