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.
As a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.
Our Machine Learning team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.
Job spec customisation requirements:
Job responsibilities:Lead the development and maintenance of machine learning models to solve complex business problemsDevelop the technical skills of junior colleagues through mentorship and trainingCollaborate with cross functional teams to identify opportunities for leveraging data to drive business solutionsAnalyse large, heterogenous datasets to extract actionable insights and inform decision-makingStay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems Identify the right state of the art solutions for the bank’s objectives and manage colleagues to implement them as clean, production-ready codeCommunicate findings and recommendations through clear and concise reports and presentations
Required qualifications, capabilities and skillsExperience leading teams to deliver production machine learning solutionsProficiency in Python and SQL and familiarity with good software engineering practicesExcellent written and verbal communicationStrong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learnSolid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculusCollaborative, humble and enthusiastic attitude
Preferred qualifications, capabilities and skillsExperience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etcExperience in deep neural networks and familiarity with the latest developments in related fieldsExperience in LLM model finetuning and continuous learning techniquesExperience in prompt engineering techniques and state-of-the-art LLM architectures
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