Senior/Lead Machine Learning Scientist (Hands On)- International Consumer Bank in London

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 within the International Consumer Bank, you will be part of a flat‑structure organization and be responsible for delivering end‑to‑end cutting‑edge solutions in the form of cloud‑native microservices architecture applications that leverage the latest technologies and industry practices. You are expected to be involved in the design and architecture of the solutions while focusing on the entire SDLC lifecycle stages.

Job Responsibilities

• Lead the development and maintenance of machine learning models to solve complex business problems.
• Develop the technical skills of junior colleagues through mentorship and training.
• Collaborate with cross‑functional teams to identify opportunities for leveraging data to drive business solutions.
• Analyze large, heterogeneous datasets to extract actionable insights and inform decision‑making.
• Stay updated with the latest advancements in machine learning, 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 code.
• Communicate findings and recommendations through clear and concise reports and presentations.

Required Qualifications, Capabilities and Skills

• Experience leading teams to deliver production machine learning solutions.
• Proficiency in Python and SQL and familiarity with good software engineering practices.
• Excellent written and verbal communication.
• Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‑learn.
• Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus.
• Collaborative, humble and enthusiastic attitude.

Preferred Qualifications, Capabilities and Skills

• Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc.
• Experience in deep neural networks and familiarity with the latest developments in related fields.
• Experience in LLM model fine‑tuning and continuous learning techniques.
• Experience in prompt engineering techniques and state‑of‑the‑art LLM architectures.

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.