Faculty

Principal Machine Learning Engineer

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6 months ago
London, United KingdomStaff+

Responsibilities

  • Architect software and data science frameworks for large-scale systems meeting rigorous functional and non-functional requirements.
  • Design integrated system architectures that scale and align with organizational and technical standards.
  • Solve complex technical challenges across multiple projects and business units.
  • Set strategic technical direction for flagship projects and guide successful delivery.
  • Influence company-wide technical strategy through expertise in machine learning and advanced statistics.
  • Advise major initiatives as a technical authority and ensure architectural decisions are robust, sustainable, and innovative.
  • Provide technical guidance to internal teams and external customers while balancing hands-on system design with directing others.

Requirements

  • Extensive experience in machine learning, statistics, and advanced data science methodologies, especially for financial-services solutions.
  • A proven track record defining software architecture and designing complex systems within existing organizational frameworks.
  • Experience solving complex problems across diverse projects and providing authoritative technical guidance.
  • Strategic thinking and the ability to set technical direction for high-impact projects.
  • Strong communication skills for explaining complex technical concepts to peers and customers.
  • Ability to operate in an entrepreneurial environment while combining hands-on system design with technical leadership.

Benefits

  • The company supports conversations about part-time hours.
  • The recruitment process welcomes applicants from diverse backgrounds and encourages applications from people who do not meet every listed requirement.
  • Candidates may opt out of the AI note-taker used during interviews by notifying the company.
  • The interview process consists of a 30-minute talent team screen, 45-minute role introduction, 90-minute pair programming interview, 90-minute system design interview, and 60-minute commercial and leadership interview.

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About Faculty

1,001-5,000 employees
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