Lead Machine Learning Scientist- ICB
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-13
Listing for:
JPMorganChase
Full Time
position Listed on 2026-01-13
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Data Scientist, AI Engineer
Job Description & How to Apply Below
Lead Machine Learning Scientist – ICB role ld 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.
- 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 Tensor Flow, 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.
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