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- Tasks: Lead the AI engineering team and shape the product strategy from start to finish.
- Company: A rapidly-growing Insurtech firm with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact by building cutting-edge AI products in a dynamic environment.
- Qualifications: 10+ years of engineering experience and strong expertise in machine learning.
- Other info: Join a culture that values leadership through action and collaboration.
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 London employer: HFG
Contact Detail:
HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Engineering in 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 folks who might know about openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and engineering achievements. This is your chance to demonstrate your Python prowess and ML expertise in a way that stands out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and cultural fit questions. Be ready to discuss how you've shaped engineering cultures in the past and how you plan to do it in this role. We want to see your leadership style shine!
✨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, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Head of AI Engineering in 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 shipped AI-heavy products, so don’t hold back on those details!
Demonstrate Your ML Expertise: Since deep ML expertise is a key requirement, include specific examples of projects where you've applied machine learning techniques. This will help us understand your technical depth and how you can contribute to our AI product strategy.
Be Authentic: We’re looking for someone who can shape our engineering culture, so let your personality shine through in your application. Share your leadership style and how you lead by example – we want to know the real you!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
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 prepared 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 requires leading engineers by example, think of instances where you've inspired or mentored your team. Share stories that highlight your ability to shape engineering culture and how you’ve fostered collaboration and innovation within your teams.
✨Align with Company Values
Research the insurtech firm’s mission and values. During the interview, connect your personal values and leadership style with theirs. This shows that you’re not just a technical fit but also a cultural one, which is crucial for setting the foundation of the AI organisation.
✨Prepare for Strategic Discussions
Be ready to discuss your vision for the AI product strategy and how you plan to ensure quality, reliability, and scalability. Think about long-term technical directions and be prepared to articulate how you would approach building a robust AI framework that aligns with the company's goals.
