Software Engineer III - MLOps in London

Join us as we transform digital banking and create intuitive, enjoyable customer journeys. You will have the opportunity to make a meaningful impact while working with innovative technology and a diverse, collaborative team. At JPMorgan Chase, your curiosity and passion for technology will help us deliver secure, intelligent banking solutions. We value your ideas and empower you to grow your career. Be part of building the bank of the future.

As a Software Engineer III at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and enhance the banking experience. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer‐focused systems. Your work will enable us to leverage foundational AI and machine learning models to deliver secure, intelligent services. You will be part of a diverse, inclusive, and geographically distributed team focused on delivering real value to our customers.

Job Responsibilities

• Contribute to end‐to‐end cloud‐native microservices and data pipelines using modern technologies and best practices.
• Structure software for clarity, testability, and ease of evolution.
• Build scalable solutions that avoid single points of failure.
• Develop secure code to protect customers and the organization.
• Investigate and resolve issues promptly to prevent recurrence.
• Ensure zero‐downtime releases for end‐users.
• Monitor model and system performance, identifying and solving problems effectively.
• Build reliable, easy‐to‐operate systems.
• Continuously update and upgrade technologies and patterns.
• Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident management.
• Ensure compliance and security in AI/ML solution deployment and operation.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and proficient applied experience.
• Recent hands‐on experience as a back‐end software engineer.
• Proficiency in Java and Python programming languages.
• Experience designing and implementing effective tests (Unit, component, integration, end‐to‐end, performance).
• Excellent written and verbal communication skills in English.
• Familiarity with advanced AI/ML concepts and protocols, such as Retrieval‐Augmented Generation, agentic system architectures, and Model Context Protocol.
• Strong interest in building generative AI applications and tooling.
• Experience with cloud technologies, distributed Systems, RESTful APIs, and web technologies.

Preferred Qualifications, Capabilities, and Skills

• Background in STEM with exposure to machine learning systems.
• Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize).
• Hands‐on experience with cloud computing platforms like AWS, Azure, or GCP.
• Experience working in highly regulated environments or industries.

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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.