Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and build the AI product strategy for a rapidly-growing 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, deep ML expertise, and strong Python skills.
- Other info: This role combines leadership with hands-on building in a collaborative 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 organisation. 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 employer: High Finance (UK) Limited T/A HFG
Contact Detail:
High Finance (UK) Limited T/A HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Engineering
✨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 tangible sense of your skills and 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 types of questions you might face.
✨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 are proactive about their job search!
We think you need these skills to ace Head of AI Engineering
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 deep ML expertise is a must, include specific examples of your work in machine learning. We love seeing how you've tackled challenges and delivered AI-heavy products that made an impact.
Be Authentic: We’re looking for someone who can shape our engineering culture, so let your personality shine through! Share your leadership style and how you inspire others by leading by example.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at High Finance (UK) Limited T/A HFG
✨Know Your AI Inside Out
Make sure you brush up on your machine learning expertise. Be ready to discuss specific projects where you've shipped AI-heavy products, and how you tackled challenges along the way. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Leadership Style
Since this role involves leading engineers by example, think about how you can demonstrate your leadership style during the interview. Prepare examples of how you've built teams, shaped engineering cultures, and mentored others. This will help them see you as a hands-on leader who inspires and guides.
✨Get Technical with Python
As a Python-heavy coding role, be prepared for technical questions or even a coding challenge. Brush up on your Python skills and be ready to discuss your coding practices, libraries you prefer, and how you ensure code quality and reliability in your projects.
✨Align with Their Vision
Research the company’s current AI initiatives and their long-term goals. During the interview, express how your vision aligns with theirs and how you can contribute to building a robust AI product strategy. This shows that you're not just looking for a job, but are genuinely interested in their mission.
