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For Companies At a Glance
- Tasks: Lead AI projects and mentor a world-class team in financial services.
- Company: Join Faculty, a leader in human-centric AI solutions.
- Benefits: Diverse team, professional growth, and the chance to work with brilliant minds.
- Why this job: Make a real impact in AI while shaping the future of financial services.
- Qualifications: Proven experience in AI/ML strategy and team leadership.
- Other info: Dynamic environment with opportunities for intellectual growth and collaboration.
The predicted salary is between 72000 - 108000 £ per year.
About Faculty
At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme .
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, you\’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector.
You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit.
What you\’ll do: Technical Leadership and Delivery
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Provide hands-on technical guidance for complex, high-priority projects (40% of your time).
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Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit.
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Advise on solution architecture, advanced modelling and engineering best practices.
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Identify and implement new tools and processes to enhance delivery quality.
Team Leadership and Strategy
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Define and champion the technical vision for our professional and financial services clients.
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Lead recruiting, team structure, and professional development for technical staff.
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Collaborate with the Business Unit Director on commercial strategy and project resourcing.
Business Development
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Act as a technical authority in client meetings to secure and expand market opportunities.
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Create and share technical thought leadership through conferences, articles, and other media.
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Identify new market opportunities and technologies.
Who we\’re looking for
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An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery.
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Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services.
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Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals.
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Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes.
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Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders.
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A proven interest in and ability to mentor and develop team members.
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A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution.
What we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You\’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you\’ll learn something new from everyone you meet.
Director, AI Engineering, Professional & Financial Services employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, AI Engineering, Professional & Financial Services
✨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 share insights on AI trends, projects you've worked on, or case studies from your experience. 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 AI solutions and think about how your skills can contribute to their mission. Tailor your responses to highlight how you can drive technical excellence and team leadership at Faculty.
✨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 genuinely interested in joining the Faculty team and contributing to our exciting projects in AI.
We think you need these skills to ace Director, AI Engineering, Professional & Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Director, AI Engineering role. Highlight your leadership in AI and machine learning, especially in financial services, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your background makes you the perfect fit for Faculty. Don’t forget to mention why you’re excited about working with us!
Showcase Your Technical Expertise: We want to see your technical chops! Include specific examples of projects where you've led AI solutions or teams. This will help us understand your hands-on experience and strategic vision.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Faculty.
How to prepare for a job interview at Faculty
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning, especially as they relate to financial services. Be ready to discuss specific projects you've led or contributed to, showcasing your technical expertise and how it aligns with the role.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and mentoring others. Faculty is looking for someone who can inspire and guide a team of data scientists and engineers, so be ready to share how you've successfully developed talent in your previous roles.
✨Understand the Business Side
Familiarise yourself with the commercial drivers in the financial services sector. Be prepared to discuss how AI can create value for clients like banks and insurers, and think about how you can contribute to Faculty's business strategy.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to convey your ideas effectively to both technical and non-technical stakeholders, so focus on clarity and confidence in your communication style during the interview.
