Lead Machine Learning Scientist- ICB

JPMorganChase; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A global financial institution in Greater London is seeking a Lead Machine Learning Scientist to spearhead the development of cutting-edge AI solutions. The role involves leading teams to build machine learning models, mentoring junior staff, and collaborating across departments to harness data for business insights. The ideal candidate should have extensive experience with machine learning frameworks and excellent communication skills. This role provides an opportunity to shape the bank's future technologies.

Qualifications

• Experience leading teams to deliver production machine learning solutions.
• Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn.
• Excellent written and verbal communication skills.

Responsibilities

• Lead the development and maintenance of machine learning models.
• Develop technical skills of junior colleagues through mentorship.
• Collaborate with teams to identify data-driven business solutions.

Skills

Leadership in machine learning solutions

Proficiency in Python

Experience with SQL

Experience with TensorFlow

Experience with PyTorch

Statistical analysis

Excellent communication skills

Tools

AWS

Lambda

Glue

S3

scikit-learn

Job description

Lead Machine Learning Scientist – ICB role at JPMorganChase. Build the bank of the future from scratch, leveraging cloud‑native microservices to deliver cutting‑edge AI solutions that drive customer value.

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, heterogenous 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.

Qualifications

• Experience leading teams to deliver production machine learning solutions.
• Proficiency in Python and SQL and familiarity with good software engineering practices.
• 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.
• Excellent written and verbal communication.
• Preferred: Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3, etc.
• Preferred: Experience in deep neural networks and familiarity with the latest developments in related fields.
• Preferred: Experience in LLM model fine‑tuning and continuous learning techniques.
• Preferred: Experience in prompt engineering techniques and state‑of‑the‑art LLM architectures.

We are an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, pregnancy, disability, or any other protected class. We provide reasonable accommodations for applicants and employees. This policy is a cornerstone of our inclusive culture.