At a Glance
- 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 employer: Moonpig
Moonpig is an exceptional employer that prioritises innovation and employee well-being in the vibrant setting of Greater London. With a strong focus on personal development, our collaborative work culture fosters creativity and growth, while offering competitive pay, flexible working arrangements, and comprehensive benefits such as private healthcare. Join us to make a meaningful impact in the eCommerce landscape through cutting-edge machine learning strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Head of ML & AI — Personalisation & Recommendations
✨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
Showcase your expertise! Create a portfolio or a blog where you share insights on machine learning strategies. This not only highlights your skills but also shows your passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and personalisation. We want to see how you can apply these to enhance customer experiences at Moonpig!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Head of ML & AI — Personalisation & Recommendations
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of ML & AI role. Highlight your experience in eCommerce and machine learning systems, as well as any leadership roles you've had. We want to see how your skills align with our mission at Moonpig!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about enhancing customer experience through machine learning. Share specific examples of past successes that relate to the role. We love a good story!
Showcase Your Team Management Skills:Since you'll be managing a team of specialists, it's crucial to demonstrate your leadership abilities. Include examples of how you've successfully led teams in the past and how you ensure quality in ML models. We’re all about collaboration here!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
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 of specialists. Prepare examples of how you've successfully led teams in the past, focusing on your approach to mentoring, collaboration, and ensuring quality in ML models. This will demonstrate your capability to lead effectively.
✨Understand eCommerce Dynamics
Since the role is within eCommerce, it's crucial to understand how machine learning can drive sales and enhance user experience. Familiarise yourself with Moonpig's business model and think about how you can apply your expertise to their specific challenges and opportunities.
✨Prepare for Collaboration Questions
Collaboration with Product Management is key in this role. Think of instances where you've worked cross-functionally to achieve a goal. Be ready to discuss how you communicate complex ML concepts to non-technical stakeholders and how you ensure alignment on initiatives.
