Lead Machine Learning Scientist β€” Banking AI & Cloud

Lead Machine Learning Scientist β€” Banking AI & Cloud

Full-Time 60000 - 80000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design and implementation of cloud-native ML solutions for banking.
  • Company: Join Chase UK, a leader in innovative banking technology.
  • Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
  • Other info: Collaborate with diverse teams and enjoy excellent career growth potential.
  • Why this job: Make a real impact by solving complex business problems with cutting-edge AI.
  • Qualifications: Proven experience in machine learning and strong leadership skills.

The predicted salary is between 60000 - 80000 Β£ per year.

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.

Lead Machine Learning Scientist β€” Banking AI & Cloud employer: NLP PEOPLE

RedTech Recruitment Ltd. is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. With a focus on cutting-edge AI research, employees benefit from comprehensive support for professional growth, competitive salaries, and a flexible hybrid working model that promotes work-life balance. Join a team where your contributions to novel NLP and LLM approaches will be valued and recognised, making a meaningful impact in the fast-evolving tech landscape.

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Contact Details:

NLP PEOPLE Recruitment Team

We think you need these skills to ace Lead Machine Learning Scientist β€” Banking AI & Cloud

Machine Learning
Cloud-Native Solutions
Model Design and Implementation
Mentoring
Cross-Functional Team Leadership
SDLC Lifecycle Management
Data Analysis