Lead Machine Learning Scientist- ICB
JPMorganChase
- London, England, United Kingdom
- London, England, United Kingdom
Über
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.
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, 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
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 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 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. Visit our FAQs for more information about requesting an accommodation.
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Sprachkenntnisse
- English
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