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- Tasks: Lead a high-performing engineering team and drive technical strategy in AI/ML.
- Company: A leading AI company based in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of AI technology and lead a talented team in a dynamic environment.
- Qualifications: 8+ years of engineering leadership experience, especially in B2B SaaS or AI/ML.
- Other info: Fast-paced environment with a strong emphasis on strategic execution.
The predicted salary is between 72000 - 108000 £ per year.
A leading AI company in Greater London is looking for a Head of Engineering to drive technical strategy and team growth. This role involves leading a high-performing team, making critical architectural decisions, and ensuring system scalability.
Ideal candidates will have over 8 years of engineering leadership experience, particularly in B2B SaaS or AI/ML contexts. Strong knowledge of Python and cloud infrastructures is vital. The environment is fast-paced and requires both strategic and execution-focused skills.
VP of Engineering — AI/ML Scale & Real-Time Platforms employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Engineering — AI/ML Scale & Real-Time Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, be ready to discuss your past projects and how you've driven technical strategy. Highlight your experience with Python and cloud infrastructures to really stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your architectural decision-making skills. Think about real-world scenarios where you’ve had to make tough calls and be ready to share those stories. It’ll show you’re not just a thinker but a doer!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles that could be a great fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace VP of Engineering — AI/ML Scale & Real-Time Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your engineering leadership experience, especially in B2B SaaS or AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your strategic vision can drive our technical strategy. Let us know what excites you about leading a high-performing team.
Showcase Your Technical Skills: Since strong knowledge of Python and cloud infrastructures is vital, make sure to highlight your expertise in these areas. We love seeing specific examples of how you've used these skills to solve real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Explore Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python and cloud infrastructures. Be ready to discuss specific projects where you've implemented these technologies, especially in B2B SaaS or AI/ML contexts. This will show that you not only understand the tech but can also apply it effectively.
✨Showcase Leadership Experience
Prepare examples that highlight your engineering leadership experience. Think about times when you drove team growth or made critical architectural decisions. Use the STAR method (Situation, Task, Action, Result) to structure your responses and demonstrate your impact.
✨Emphasise Scalability and Strategy
Since the role focuses on system scalability and technical strategy, be ready to discuss how you've approached these challenges in the past. Share insights on how you balance strategic planning with execution, and any frameworks or methodologies you’ve used to ensure success.
✨Cultural Fit Matters
Research the company culture and values of the AI company you're interviewing with. Be prepared to discuss how your personal values align with theirs and how you can contribute to a high-performing team in a fast-paced environment. This will help you stand out as a candidate who fits well within their team.
