At a Glance
- Tasks: Lead AI strategy and deliver cutting-edge solutions in financial services.
- Company: Join a leading firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Open to part-time hours and diverse applicants.
- Why this job: Shape the future of AI in finance while mentoring top talent.
- Qualifications: Proven experience in AI/ML, leadership, and financial services.
The predicted salary is between 120000 - 180000 € per year.
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.
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.
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.
- 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.
Director of AI Engineering in London employer: Deepstreamtech
As a leading employer in the financial services sector, we offer an exceptional work environment that fosters innovation and collaboration. Our culture prioritises professional growth, providing ample opportunities for mentorship and development within a dynamic team of experts. Located in a vibrant city, we not only focus on delivering cutting-edge AI solutions but also ensure our employees enjoy a balanced work-life experience with flexible hours and a commitment to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Director of AI Engineering in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks, especially in the financial services sector. Attend meetups, conferences, or webinars where you can chat with potential employers and showcase your expertise in AI and machine learning.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your successful AI projects and MLOps experience. Use real-world examples to demonstrate how you've driven business outcomes in previous roles, making it clear why you're the perfect fit for the Director of AI Engineering position.
✨Tip Number 3
Prepare for those interviews! Research the company and its clients, especially in banking and insurance. Be ready to discuss how your technical vision aligns with their needs and how you can mentor their teams to achieve excellence in AI solutions.
✨Tip Number 4
Don't hesitate to apply through our website! Even if you don't tick every box, if you're excited about the role and have key strengths, we want to hear from you. We value passion and potential just as much as experience!
We think you need these skills to ace Director of AI Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in AI/ML strategy and project delivery, especially within financial services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background makes you a perfect fit. Don’t forget to mention your leadership experience and mentoring abilities – we love that!
Showcase Your Communication Skills:As an excellent communicator, you need to demonstrate this in your application. Use clear and concise language, and make sure to explain any complex technical concepts in a way that’s easy to understand. We appreciate clarity!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the right roles. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Inside Out
Make sure you brush up on your AI and machine learning knowledge, especially as it relates to the financial services sector. Be ready to discuss specific projects you've led, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Communicate Like a Pro
Since you'll be explaining complex technical concepts to both tech teams and C-suite clients, practice articulating your thoughts clearly and concisely. Use examples from your past experiences to illustrate your points, and don’t shy away from simplifying jargon when necessary.
✨Showcase Your Leadership Skills
Prepare to discuss your experience in leading full-stack technology teams. Highlight your mentoring style and how you've developed high-performing data scientists and engineers. Share specific instances where your leadership made a significant impact on project outcomes.
✨Understand the Business Landscape
Familiarise yourself with the current trends and challenges in the financial services industry. Be ready to discuss how AI can drive business outcomes for banks and insurers. This will demonstrate your strategic thinking and ability to align technical solutions with commercial goals.
