Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and scale the engineering team in a fast-growing AI startup.
- Company: Join a dynamic AI startup transforming real estate investment with innovative technology.
- Benefits: Enjoy hybrid work options and be part of an ambitious growth phase.
- Why this job: Shape the future of AI-driven insights and make a real-world impact.
- Qualifications: Strong cloud infrastructure experience, proficient in Python, and exposure to ML systems required.
- Other info: Be hands-on in architecture decisions while managing a growing team.
The predicted salary is between 72000 - 108000 £ per year.
We’re hiring a Head of Engineering to lead and scale the technical team at a fast-growing AI startup that’s transforming real estate investment. Their cloud-native SaaS platform blends street-level data, financial modelling, and machine learning to provide investors with smarter, data-driven insights.
With a fresh funding round about to be announced, the team (currently 20) is gearing up for an ambitious growth phase and major product expansion.
As Head of Engineering, you’ll set the technical direction, manage and grow the engineering function, and work closely with product and data teams to deliver high-impact features. You’ll also stay hands-on where needed to support architecture decisions and ensure scalability.
What we’re looking for:
- Strong experience with cloud infrastructure (ideally AWS)
- Proficient in Python
- Exposure to ML-driven systems
- Track record of scaling teams and systems in high-growth environments
If you’re keen to shape the future of a platform that blends AI, data, and real-world impact - let’s talk.
Head of Engineering (AI) (London Area) employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering (AI) (London Area)
✨Tip Number 1
Network with professionals in the AI and engineering fields. Attend industry meetups, webinars, or conferences to connect with potential colleagues or mentors who can provide insights into the role and the company culture.
✨Tip Number 2
Showcase your leadership experience in previous roles. Be prepared to discuss specific examples of how you've successfully scaled teams and systems, particularly in high-growth environments, during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends in cloud infrastructure and machine learning. Being able to discuss recent advancements or case studies can demonstrate your passion and expertise in the field.
✨Tip Number 4
Prepare to articulate your vision for the technical direction of a growing AI startup. Think about how you would approach challenges related to scalability and team management, and be ready to share your ideas during the interview process.
We think you need these skills to ace Head of Engineering (AI) (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure, particularly AWS, and showcases your proficiency in Python. Include specific examples of how you've scaled teams and systems in previous roles.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and real estate investment. Discuss how your background aligns with the company's mission and how you can contribute to their ambitious growth phase.
Highlight Relevant Projects: If you've worked on ML-driven systems or have experience in high-growth environments, be sure to mention these projects. Detail your role and the impact your contributions had on the outcomes.
Show Enthusiasm for the Role: Convey your excitement about the opportunity to lead and scale the engineering team. Mention any specific aspects of the company's platform that resonate with you and how you envision contributing to its success.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Expertise
As a candidate for the Head of Engineering role, it's crucial to demonstrate your strong experience with cloud infrastructure, particularly AWS. Be prepared to discuss specific projects where you've successfully implemented cloud solutions and how they contributed to scalability and performance.
✨Highlight Leadership Experience
Since this position involves managing and growing a technical team, share examples of how you've scaled teams in high-growth environments. Discuss your leadership style and how you foster collaboration between engineering, product, and data teams to deliver impactful features.
✨Discuss Your Hands-On Approach
The role requires staying hands-on with architecture decisions. Be ready to talk about instances where you've actively contributed to technical decisions and how your involvement has led to successful outcomes. This will show your commitment to both leadership and technical excellence.
✨Prepare for Questions on AI and ML
Given the focus on AI and machine learning, brush up on relevant concepts and be prepared to discuss your exposure to ML-driven systems. Share insights on how you've integrated AI into previous projects and the impact it had on business outcomes.
