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- 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, 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the Insurtech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Head of AI Engineering role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies of your previous AI projects. When you get the chance to chat with potential employers, share your successes and how you've shaped engineering cultures in the past.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to appear. Reach out directly to companies you admire, like our rapidly-expanding Insurtech firm, and express your interest in contributing to their AI strategy.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your skills and experience. Plus, it shows you're genuinely interested in joining our team and helps us see your application in the best light.
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 built AI products, so don’t hold back on those details!
Demonstrate Your ML Expertise: Since deep ML expertise is a must-have, include specific examples of projects where you've applied machine learning techniques. We love seeing real-world applications that showcase your skills!
Coding Skills Matter: Don’t forget to mention your strong Python-heavy coding ability. Share any relevant projects or contributions that demonstrate your coding prowess, as this will really catch our eye!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at High Finance (UK) Limited T/A HFG
✨Showcase Your Technical Mastery
Make sure to brush up on your machine learning concepts and Python coding skills. Be prepared to discuss specific projects where you've successfully implemented AI solutions, as this will demonstrate your deep expertise and ability to lead by example.
✨Demonstrate Leadership Through Examples
Since this role requires leading engineers by example, think of instances where you've fostered a positive engineering culture or mentored team members. Share these stories during the interview to highlight your leadership style and how you can shape the team's dynamics.
✨Align with Their Vision
Research the company's current AI products and their future direction. Be ready to discuss how your vision for AI engineering aligns with theirs, and suggest innovative ideas that could enhance their product strategy. This shows you're not just a fit for the role but also invested in their success.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems and be ready to explain your thought process clearly. This will not only showcase your strong coding ability but also your problem-solving skills, which are crucial for owning AI quality and scalability.
