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2 months ago

Lead Machine Learning Scientist (Fintech)

115 000 - 150 000GBP
Work format
remote (only United_kingdom)
Work type
fulltime
Grade
lead
English
b2
Country
UK
Relocation
UK
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Lead Machine Learning Scientist (Fintech): Building and iterating on financial crime defensive capabilities to detect suspicious user behavior and minimize fraud impact with an accent on real-time ML models. Focus on designing neural network, graph-based, and sequence-based architectures to improve detection systems.

Location: Must be based in the UK (Remote, London, or Cardiff) or be able to relocate.

Salary: £115,000 - £150,000

Company

A digital bank on a mission to make money work for everyone by replacing traditional banking with a modern, customer-centric approach.

What you will do

  • Lead the design and deployment of advanced real-time ML models, including neural network, graph-based, and sequence-based architectures.
  • Collaborate with product managers, data scientists, and backend engineers in a cross-functional agile squad.
  • Identify and scope high-impact opportunities to tackle financial crime and fraud across the organization.
  • Mentor other ML scientists and drive technical excellence and best practices within the discipline.
  • Partner with the MLOps team to optimize the full ML model lifecycle and enable rapid iteration.

Requirements

  • Proven track record of leading the development and deployment of advanced ML models in a fast-paced tech environment.
  • Hands-on experience shipping deep learning, graph-based, or sequence-based architectures to production.
  • Extensive experience with production Python and a strong command of SQL.
  • Must be based in the UK or eligible for visa sponsorship/relocation to the UK.
  • Strong product mindset with a focus on measurable business impact and customer outcomes.

Nice to have

  • Experience working with financial crime in regulated financial institutions.
  • Commercial experience writing critical production code and working with microservices.

Culture & Benefits

  • Visa sponsorship and relocation assistance to the UK.
  • Flexible working hours and distributed work options within the UK.
  • Annual learning budget of £1,000 for training courses and conferences.
  • Inclusive environment prioritizing diversity and equal opportunity.

Hiring process

  • Recruiter call (30 min) and Hiring Manager call (45 min).
  • Technical take-home task.
  • Three 1-hour video interviews with various team members.

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