Lead Machine Learning Scientist- ICB

J.P. Morgan; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading bank in the UK seeks a Lead Machine Learning Scientist to drive the development of innovative banking solutions. You will lead the development of machine learning models, mentor junior staff, and collaborate with cross-functional teams. Ideal candidates should be proficient in Python and SQL, have experience with frameworks like TensorFlow and PyTorch, and possess strong communication skills. This role is part of a cutting-edge team focused on transforming mobile banking through technology.

Qualifications

• Experience leading teams to deliver production machine learning solutions.
• Proficiency in software engineering practices.
• Strong experience in developing and testing machine learning solutions.

Responsibilities

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

Skills

Leadership in machine learning projects

Proficiency in Python

Proficiency in SQL

Team collaboration

Excellent communication skills

Tools

TensorFlow

PyTorch

scikit-learn

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.

As a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. 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.

Our Machine Learning team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.

Job spec customisation requirements:

• 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
  • Analyse large, heterogenous 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 finetuning and continuous learning techniques
  • Experience in prompt engineering techniques and state-of-the-art LLM architectures

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