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- Tasks: Lead ML strategies to enhance customer experience and drive commercial success.
- Company: Join Moonpig, a dynamic eCommerce leader in Greater London.
- Benefits: Enjoy competitive pay, flexible working, and private healthcare.
- Other info: Collaborate with a talented team in a fast-paced environment.
- Why this job: Shape the future of personalisation and recommendations with cutting-edge AI.
- Qualifications: Proven experience in eCommerce and machine learning systems required.
The predicted salary is between 70000 - 90000 £ per year.
Moonpig in Greater London is seeking a Head of Machine Learning & AI to define and lead machine learning strategies that enhance customer experience and commercial outcomes. You will manage a team of specialists, ensuring the quality and lifecycle of ML models. The role involves collaboration with Product Management to shape initiatives and requires proven experience in eCommerce and machine learning systems. The position offers competitive pay, flexible working, and a range of benefits including private healthcare.
Head of ML & AI — Personalisation & Recommendations in London employer: Moonpig
Contact Detail:
Moonpig Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of ML & AI — Personalisation & Recommendations in London
✨Tip Number 1
Network like a pro! Reach out to folks in the eCommerce and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past ML projects. This is your chance to shine and demonstrate how you can enhance customer experience.
✨Tip Number 3
Get ready for the interview! Research Moonpig’s current initiatives and think about how your experience aligns with their goals. Tailor your answers to show you’re the perfect fit for leading their ML strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Head of ML & AI — Personalisation & Recommendations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of ML & AI role. Highlight your experience in eCommerce and any successful machine learning projects you've led.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and how you can enhance customer experience at Moonpig. Be specific about your vision for personalisation and recommendations.
Showcase Your Leadership Skills: Since this role involves managing a team, don’t forget to mention your leadership experience. Share examples of how you've successfully led teams and delivered results in previous roles.
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 the role without any hiccups!
How to prepare for a job interview at Moonpig
✨Know Your ML & AI Stuff
Make sure you brush up on the latest trends and technologies in machine learning and AI, especially as they relate to personalisation and recommendations. Be ready to discuss specific projects you've worked on and how they improved customer experience or commercial outcomes.
✨Showcase Your Leadership Skills
As a Head of ML & AI, you'll be managing a team, so it's crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully led teams in the past, tackled challenges, and fostered collaboration. Highlight your approach to mentoring and developing talent within your team.
✨Understand eCommerce Dynamics
Since this role is within an eCommerce context, make sure you understand the unique challenges and opportunities in this space. Be prepared to discuss how machine learning can drive sales and enhance customer engagement specifically for online platforms like Moonpig.
✨Prepare for Collaboration Questions
Collaboration with Product Management is key in this role. Think about times when you've worked cross-functionally and how you navigated differing priorities. Be ready to share how you can align machine learning initiatives with broader business goals and product strategies.