About the role
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
About
the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.
About
the role As a Senior Full Stack Software Engineer, you will be a technical anchor within our Professional & Financial Services team, leading the development of sophisticated platforms that visualise complex data science insights and bridging the gap between AI research and production-grade software. You will have the autonomy to own the entire technical stack, driving architectural decisions and mentoring others to ensure we ship scalable, high-performance systems that transform how our customers interact with Machine Learning. What you'll be doing: Leading the architecture and design of complex projects to ensure they are robust, scalable, and aligned with long-term business needs. Creating reliable, reusable, and high-performance frontend and backend systems that facilitate the seamless delivery of AI-powered insights. Guiding engineers within cross-functional teams of Data Scientists and Product Managers to deliver technically sophisticated, high-impact systems. Mentoring and managing more junior engineers on