Director, AI Engineering in London

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. 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.

As Director, AI Engineering you’ll be our most senior technical authority on the AI solutions we propose and deliver across our rapidly growing Financial Services Business unit. This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We’ll look to you to define a differentiated technical vision for clients across banking, insurance, and asset management, while directly mentoring our world‑class team of data scientists and engineers.

What you’ll be doing:

• Leading the development and delivery of advanced AI solutions, ensuring technical excellence across the entire business unit
• Providing hands‑on technical guidance and expertise for complex, high‑priority client projects
• Advising on solution architecture, advanced machine learning modelling, and engineering best practices
• Defining and championing the technical strategy and vision for our financial and professional services clients
• Leading recruiting, structuring, and professional development for technical staff within the business unit
• Acting as the senior technical authority in key client meetings to secure and expand market opportunities
• Creating and sharing impactful technical thought leadership through conferences, articles, and other media

Who we’re looking for:

• You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery
• You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector
• You have experience leading full‑stack technology teams, backed by a solid grasp of systems architecture and engineering fundamentals
• You possess deep knowledge of the financial services landscape, including commercial drivers and how AI can accelerate business outcomes for banks and insurers
• You are an excellent communicator, able to clearly explain complex technical information and strategy to both internal teams and C‑suite clients
• You have an interest, and proven ability to mentor and develop high‑performing data scientists and machine learning engineers

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family‑Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working (2 days in our Old Street office, London)

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don’t hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part‑time hours.