At a Glance
- Tasks: Lead AI and ML teams to enhance customer experience on a top UK ecommerce platform.
- Company: Join one of the UK's leading ecommerce platforms with a focus on innovation.
- Benefits: Enjoy a hybrid role with strong benefits, learning budget, and product ownership.
- Other info: Collaborative environment with opportunities for high-impact work.
- Why this job: Shape the future of AI in ecommerce and drive significant commercial impact.
- Qualifications: Proven leadership in AI & ML with a strategic mindset.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a senior AI & ML leader to define how AI shapes customer experience across one of the UK’s leading ecommerce platforms. This role will own the strategy and evolution of:
You’ll lead ML teams across the business, partnering closely with Product, Engineering & MLOps to drive measurable commercial impact at scale.
Ideal background: Hybrid role with strong benefits, learning budget & high-impact product ownership.
Head of Machine Learning in London employer: Arrows
As a leading player in the UK ecommerce sector, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our employees enjoy a hybrid working model, generous benefits, and a dedicated learning budget, ensuring they have the resources to grow and make a significant impact on our products and customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your projects! If you've led any impactful ML initiatives, make sure to highlight them in conversations. Real-world examples speak volumes about your capabilities.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to discuss how you’d approach challenges in AI and customer experience. Confidence is key!
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives us a chance to see your enthusiasm for the role right from the start.
We think you need these skills to ace Head of Machine Learning in London
Some tips for your application 🫡
Show Your Passion for AI & ML:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you envision these technologies shaping customer experiences, so share your ideas and insights!
Highlight Your Leadership Experience:As a senior leader, it’s crucial to showcase your experience in leading teams. Talk about your past roles where you’ve driven strategy and collaborated with cross-functional teams like Product and Engineering. We love seeing real examples!
Be Clear and Concise:While we appreciate creativity, clarity is key in your written application. Make sure your points are easy to understand and directly address the role's requirements. We’re looking for impactful communication that gets straight to the point.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Don’t miss out on being part of our innovative team!
How to prepare for a job interview at Arrows
✨Know Your AI & ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss how these can enhance customer experience, as this is a key focus for the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led ML teams in the past. Highlight your ability to collaborate with Product, Engineering, and MLOps to drive results. They’ll want to see your leadership style in action!
✨Quantify Your Impact
Be ready to share specific metrics or outcomes from your previous projects. Discuss how your strategies have led to measurable commercial impact, as this will resonate well with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about their current AI initiatives and future plans. This shows your genuine interest in the role and helps you understand how you can contribute to their vision.
