Principal Machine Learning Engineer
Hybrid (London)Full-timePosted 7mo ago
About the role
Principal ML Engineer leading high-level technical direction for large-scale AI systems in the Professional & Financial Services unit at Faculty, architecting scalable solutions and guiding strategic technical direction across multiple initiatives.
Responsibilities
- Architecting sophisticated software and data science frameworks for large-scale, complex systems that meet rigorous functional and non-functional requirements.
- Designing integrated system architectures that scale effectively and align with broader organisational and technical standards.
- Solving intricate technical challenges that span multiple projects or business units, acting as a respected expert for both internal teams and external customers.
- Setting the strategic technical direction for flagship projects, providing the vision and guidance necessary to ensure successful delivery.
- Influencing company-wide technical strategy by leveraging deep domain expertise in machine learning and advanced statistics.
- Advising major initiatives as a technical authority, ensuring that architectural choices are robust, sustainable, and innovative.
Qualifications
- You are a recognised technical authority with extensive experience in machine learning, statistics, and advanced data science methodologies with a specific focus on solutions the Financial Services space
- You possess a proven track record of defining software architecture and designing complex systems that thrive within existing organisational frameworks.
- You are a natural problem-solver who can navigate challenges across diverse projects and provide authoritative guidance on major initiatives.
- You have the strategic mindset required to set the technical pulse for high-impact projects and contribute meaningfully to long-term company goals.
- You excel at communicating complex technical concepts to both peers and customers, earning trust through expertise and clear architectural leadership.
- You thrive in an entrepreneurial environment, balancing hands-on system design with the ability to direct others toward technical excellence.
Skills
Required:Machine learningSoftware architecture
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Faculty
Frontier AI for the frontlines of the world.
Faculty partners with organisations to enhance performance through cutting-edge artificial intelligence solutions, driving real-world impact.
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