At a Glance
- Tasks: Lead the development of advanced AI solutions in financial services.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse and inclusive workplace with strong career growth opportunities.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Proven experience in AI/ML strategy and team leadership.
The predicted salary is between 100000 - 150000 £ per year.
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. 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 role: 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.
Director, AI Engineering employer: Faculty
At Faculty, we are committed to harnessing the transformative power of AI while fostering a culture of innovation and inclusivity. As a Director in AI Engineering, you will not only lead cutting-edge projects that make a real-world impact but also benefit from our unlimited annual leave policy, private healthcare, and a flexible working environment in our vibrant Old Street office. Join us to empower your career growth in a diverse team that values intellectual curiosity and strives for meaningful contributions to the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Director, AI Engineering
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and financial services sectors. Attend industry events, join relevant online forums, and don’t be shy about reaching out to potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your expertise! Create a portfolio or blog where you can share your thoughts on AI trends, projects you've worked on, or insights into the financial services landscape. This not only showcases your knowledge but also positions you as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s work and values. Familiarise yourself with their projects and think about how your experience aligns with their mission. When you walk in, you’ll not only impress them with your knowledge but also show that you’re genuinely interested in being part of their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our mission to innovate and deliver responsible AI solutions. Let’s make an impact together!
We think you need these skills to ace Director, AI Engineering
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI and machine learning, especially within the financial services sector. We want to see how your skills align with our mission at Faculty!
Showcase Your Leadership Skills:As a Director, you'll be leading teams and projects, so don’t forget to include examples of your leadership experience. Share stories that demonstrate your ability to mentor and develop high-performing teams, as this is key for us.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical expertise and how it can benefit our clients. We appreciate direct communication, especially when it comes to complex topics!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Faculty
✨Know Your AI Inside Out
As a Director of AI Engineering, you need to demonstrate your deep understanding of AI and machine learning. Brush up on the latest trends, technologies, and case studies in AI, especially those relevant to financial services. Be ready to discuss how you've successfully led AI projects and the impact they had.
✨Showcase Your Leadership Skills
This role requires strong leadership abilities, so prepare examples that highlight your experience in mentoring teams and driving technical strategy. Think about specific instances where you’ve guided a team through complex projects or made strategic decisions that benefited your clients.
✨Communicate Clearly and Confidently
You’ll need to explain complex technical concepts to both technical teams and C-suite clients. Practice articulating your thoughts clearly and concisely. Use analogies or simple language to make your points relatable, ensuring everyone understands your vision and strategy.
✨Align with Their Values
Faculty values diversity and intellectual curiosity. During your interview, express your commitment to these principles. Share experiences that demonstrate your ability to foster diverse teams and how you’ve used technology for positive impact. This will resonate well with their ethos.
