At a Glance
- Tasks: Lead the design and delivery of complex ML and GenAI systems in finance.
- Company: A leading fintech innovator based in London with a collaborative culture.
- Benefits: Competitive salary, performance-based bonuses, and career growth opportunities.
- Other info: Join a dynamic team focused on innovation and collaboration.
- Why this job: Make an impact in finance by championing AI adoption and mentoring future engineers.
- Qualifications: Proven experience in leading engineering teams and understanding structured finance.
The predicted salary is between 70000 - 90000 £ per year.
A leading fintech innovator in London is seeking an experienced Applied AI Manager to lead the design and delivery of complex ML and GenAI systems. This role requires proven experience in leading engineering teams and a strong understanding of structured finance.
Candidate will mentor junior engineers, collaborate across teams, and champion AI adoption.
Offering competitive salary, performance-based bonuses, and opportunities for career growth in a collaborative, innovative culture.
Applied AI Manager — Production ML for Finance in London employer: PLP Group
Contact Detail:
PLP Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Manager — Production ML for Finance in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the hunt for an Applied AI Manager role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects in ML and GenAI systems. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Ace the interview! Research common interview questions for AI roles and practice your responses. Be ready to discuss how you've led engineering teams and mentored junior engineers, as these are key aspects of the role.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our innovative culture and contributing to the fintech revolution.
We think you need these skills to ace Applied AI Manager — Production ML for Finance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading engineering teams and your understanding of structured finance. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our innovative culture. We love seeing enthusiasm and a clear vision for the role.
Showcase Your Leadership Skills: Since this role involves mentoring junior engineers, make sure to highlight any leadership experiences you’ve had. We’re looking for someone who can inspire and guide others, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application 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 PLP Group
✨Know Your ML Stuff
Make sure you brush up on your machine learning and generative AI knowledge. Be ready to discuss specific projects you've worked on, especially those related to structured finance. This will show that you not only understand the technology but also how it applies in a financial context.
✨Show Your Leadership Skills
Since this role involves leading engineering teams, be prepared to share examples of how you've successfully managed teams in the past. Talk about your mentoring experiences and how you've fostered collaboration among team members. This will demonstrate your capability to lead and inspire others.
✨Collaborate Like a Pro
Highlight your experience working across different teams. Discuss how you've collaborated with other departments to drive AI adoption or deliver projects. This shows that you can work well in a cross-functional environment, which is crucial for this role.
✨Embrace the Culture
Research the company's culture and values. Be ready to explain why you’re excited about working in a collaborative and innovative environment. Showing that you align with their culture can set you apart from other candidates.