TL;DR
Principal Machine Learning Engineer (Fintech): Architecting and steering complex AI projects within the financial services domain, focusing on building scalable systems and integrating them into existing frameworks. Focus on solving intricate technical challenges and providing strategic guidance to ensure solutions remain at the cutting edge of the industry.
Location: Hybrid in London, London
Company
Faculty helps over 350 global customers to transform their performance through human-centric AI.
What you will do
- Architect sophisticated software and data science frameworks for large-scale, complex systems.
- Design integrated system architectures that scale effectively and align with broader organisational and technical standards.
- Solve intricate technical challenges across multiple projects and business units.
- Set the strategic technical direction for flagship projects, providing the vision and guidance necessary to ensure successful delivery.
- Influence company-wide technical strategy by leveraging deep domain expertise in machine learning and advanced statistics.
- Advise major initiatives as a technical authority, ensuring that architectural choices are robust, sustainable, and innovative.
Requirements
- Extensive experience in machine learning, statistics, and advanced data science methodologies with a specific focus on solutions the Financial Services space.
- Proven track record of defining software architecture and designing complex systems.
- Strategic mindset required to set the technical pulse for high-impact projects and contribute meaningfully to long-term company goals.
- Excellent communication skills to convey complex technical concepts to peers and customers.
- Thrive in an entrepreneurial environment, balancing hands-on system design with the ability to direct others toward technical excellence.
Culture & Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Hiring process
- Talent Team Screen (30 minutes)
- Introduction to the role (45 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial & Leadership Interview (60 minutes)
