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For Companies At a Glance
- Tasks: Lead and build the AI product strategy for a rapidly-expanding Insurtech firm.
- Company: Join a dynamic Insurtech company at the forefront of innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI in insurance and make a real impact.
- Qualifications: 10+ years in engineering, strong ML expertise, and Python coding skills.
- Other info: This role combines leadership with hands-on building in a fast-paced environment.
The predicted salary is between 72000 - 108000 £ per year.
A rapidly-expanding Insurtech firm is looking to appoint a Head of AI Engineering to head up and build the end-to-end AI product strategy. You will set the technical and cultural foundation of the AI organization. You will also shape the engineering culture, hiring strategy, and long-term technical direction. You will own AI quality, reliability and scalability end-to-end. This is not a pure management role - you lead by building.
Key Requirements
- 10+ years of engineering experience
- Deep level of ML expertise
- Experience leading engineers by example
- Strong Python-heavy coding ability
- Proven track record shipping AI-heavy products
Head of AI Engineering in City of London employer: HFG
Contact Detail:
HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Engineering in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the Insurtech and AI space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your AI-heavy products and engineering achievements. This will give hiring managers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of AI Engineering in City of London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 10+ years of engineering experience in your application. We want to see how you've led teams and built products, so don’t hold back on those impressive projects you've worked on!
Demonstrate Your ML Expertise: Since this role requires a deep level of ML expertise, include specific examples of your work in machine learning. We love seeing how you've tackled challenges and delivered AI-heavy products in the past.
Be Authentic: We’re looking for someone who can shape our engineering culture, so let your personality shine through! Share your thoughts on leadership and how you lead by example in your written application.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at HFG
✨Showcase Your Technical Expertise
Make sure to brush up on your machine learning knowledge and Python skills. Be ready to discuss specific projects where you've successfully shipped AI-heavy products, as this will demonstrate your hands-on experience and deep understanding of the field.
✨Demonstrate Leadership by Example
Since this role involves leading engineers, prepare examples of how you've inspired and guided teams in the past. Share stories that highlight your ability to build a strong engineering culture and how you’ve fostered collaboration and innovation among your peers.
✨Align with Company Values
Research the insurtech firm’s mission and values. During the interview, connect your personal and professional values to theirs, especially regarding building a technical foundation and shaping an engineering culture. This shows that you’re not just a fit for the role but also for the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in previous roles, particularly around AI quality, reliability, and scalability, and be ready to discuss how you approached these issues and what the outcomes were.
