We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.
Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.
As a Principal MLOps Engineer at JPMorgan Chase within the International Consumer Bank, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Your responsibilities include designing and architecting solutions while focusing on the entire SDLC lifecycle.
Our Machine Learning Operations team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people with a curious mindset, who thrive in collaborative squads, and are passionate about new technology. Our people are solution-oriented, commercially savvy, and have a head for fintech. We work in tribes and squads focusing on specific products and projects – with opportunities to move between them depending on your strengths and interests.
Job Responsibilities
Advise and lead the development of tooling for AI/ML development and deployment.
Lead deployment and maintenance of infrastructure, model monitoring, and observability tools, providing an effective model development platform for data scientists and ML engineers.
Collaborate with machine learning model developers to bring ML models to production.
Mentor and lead a team of engineers focused on deploying machine learning pipelines at scale.
Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions.
Influence across business, product, and technology teams and successfully manage senior stakeholder relationships.
Champion the firm’s culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
Formal training or certification in software engineering concepts and MLOps applied experience.
Experience with machine learning engineering and operations in a large enterprise.
Experience in building, evaluating, and deploying ML models into production.
Experience leading complex projects supporting system design, testing, and operational stability.
Proven experience influencing across complex organizations and delivering value at scale.
Extensive practical cloud-native experience.
Proven expertise in adopting agile practices to deliver efficient and high-quality solutions.
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About Us 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 approach to serving clients drives everything we do. We aim 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 key to our success. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate based on protected attributes and make reasonable accommodations for religious practices, mental health, or physical disabilities. Visit our FAQs for more information about requesting accommodations.
About The Team Our professionals in corporate functions cover areas from finance and risk to human resources and marketing. Our corporate teams ensure our business, clients, and employees are set up for success.
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