Lead Machine Learning Scientist – International Consumer Bank

NLP PEOPLE; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Chase UK is seeking a Lead Machine Learning Scientist to drive end-to-end, cloud-native ML solutions for our International Consumer Bank. You will design and implement production-grade models, mentor junior colleagues and lead cross-functional teams through the SDLC lifecycle.

Leverage data to solve complex business problems, analyse large datasets, and collaborate with data engineers, software engineers and product teams to translate research into scalable software.

Qualifications

• 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.

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.
• Analyse large, heterogeneous datasets to extract actionable insights and inform decision-making.
• Stay 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 code.
• Communicate findings and recommendations through clear and concise reports and presentations.

Skills

Team leadership

Python

SQL

Excellent communication

Statistics & ML concepts

Tools

TensorFlow

PyTorch

scikit-learn

Job description

JOB DESCRIPTION

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.

Lead Machine Learning Scientist – International Consumer Bank

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.

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.
• Analyse large, heterogeneous datasets to extract actionable insights and inform decision‑making.
• Stay 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 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.

Equal Opportunity Employer

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.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.