At a Glance
- Tasks: Lead machine learning initiatives to enhance customer experience and drive commercial success.
- Company: Join the Moonpig Group, a leader in online gifting with a heart.
- Benefits: Enjoy competitive pay, private healthcare, flexible working, and generous holidays.
- Other info: Be part of a diverse team committed to inclusivity and personal growth.
- Why this job: Shape the future of AI in a vibrant, innovative environment that values creativity.
- Qualifications: Proven leadership in machine learning with a focus on business impact.
The predicted salary is between 80000 - 100000 £ per year.
We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care. We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.
We’re looking for a Head of Machine Learning & AI to define and lead how machine learning drives customer experience and commercial outcomes across Moonpig’s Cards business. This role sits within our Product, Data & Technology (PDT) team and focuses on building and scaling applied production machine learning systems. From recommendations and ranking to search and personalisation, your work will directly shape how millions of customers experience Moonpig. You’ll lead a team of machine learning specialists, owning the performance, quality and lifecycle of models in production. Alongside this, you’ll guide how we apply modern AI technologies, including generative AI and LLMs, in practical, high-impact ways across our products. As part of the wider PDT leadership team, you’ll influence roadmap decisions, shape investment priorities, and act as the senior voice for ML and AI across the Cards business.
Key Responsibilities
- Define the vision and direction for machine learning and AI across the Cards business, identifying opportunities to improve customer experience and commercial performance.
- Lead the performance and evolution of core ML systems including recommendations, ranking, search and personalisation.
- Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability.
- Drive the development of AI-powered product features, including LLM-based and generative experiences.
- Partner with Product Management to shape the ML roadmap and prioritise high-impact initiatives.
- Set technical direction across modelling approaches, feature design and evaluation frameworks.
- Work closely with Engineering and MLOps teams to ensure ML systems are production-ready, scalable and well-supported.
- Act as the central ML authority within PDT, aligning teams around best practices and shared approaches.
- Lead, coach and grow a team of machine learning specialists, including managers and senior individual contributors.
- Influence senior stakeholders, guiding decisions and representing ML and AI in leadership forums.
About you
- Proven experience leading machine learning or applied science teams with accountability for business impact, ideally across B2C ecommerce environments.
- Strong expertise in building and evaluating production ML systems such as recommendations, ranking, search or personalisation.
- Commercial mindset with experience owning ML systems that drive measurable outcomes like conversion, engagement or revenue.
- Ability to set technical direction and guide decisions across a broad and complex ML landscape.
- Experience with, or strong interest in, modern AI approaches such as LLMs and generative AI.
- Strong communication skills with the ability to translate technical concepts into business value.
- Experience working cross-functionally with Product, Engineering and platform teams such as MLOps.
- Track record of influencing senior stakeholders and driving alignment across teams.
What's in it for you
- Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts.
- Wellbeing First: Private healthcare (UK), mental health support & dog-friendly offices (London & NL).
- Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working.
- Career Growth: Learning allowances, coaching & development programs.
Explore our full benefits package.
Our Ways of Working
We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face‑to‑face office time is an important and expected part of working at Moonpig Group. We believe regular in‑person working supports collaboration, alignment, and effective decision‑making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process.
Moonpig Group's Commitment to Equality, Diversity, and Inclusivity
At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us. From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we. We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place. We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves.
If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so. If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.
Head of Machine Learning & AI employer: Moonpig
Contact Detail:
Moonpig Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Machine Learning & AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Moonpig Group. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your machine learning projects. When you get the chance to chat with us, let your work speak for itself.
✨Tip Number 3
Be ready to discuss your vision! We want to hear how you see machine learning shaping customer experiences. Think about innovative ideas you could bring to the table at Moonpig.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Head of Machine Learning & AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Head of Machine Learning & AI role. Highlight your experience with machine learning systems and how they’ve driven business impact, especially in B2C ecommerce. We want to see how you can bring your unique skills to our mission!
Showcase Your Leadership Skills: Since this role involves leading a team, don’t forget to mention your experience in managing and mentoring machine learning specialists. Share examples of how you've influenced stakeholders and guided decisions in previous roles. We love seeing how you can inspire others!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your technical expertise and how it translates into business value. We appreciate clarity and want to understand your thought process easily!
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. Plus, it shows you’re keen on joining the Moonpig Group family!
How to prepare for a job interview at Moonpig
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and AI, especially those relevant to B2C ecommerce. Be ready to discuss how you've applied these technologies in previous roles and how they can enhance customer experience at Moonpig.
✨Showcase Your Leadership Skills
As a Head of Machine Learning & AI, you'll need to demonstrate your ability to lead and grow a team. Prepare examples of how you've successfully managed teams, influenced stakeholders, and driven alignment across departments in past projects.
✨Align with Company Values
Moonpig is all about spreading joy and making connections. Think about how your work in machine learning can contribute to this mission. Be ready to share ideas on how you can use AI to create memorable customer experiences that align with their values.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about ML systems, model quality, and lifecycle management. Brush up on your knowledge of evaluation frameworks and be prepared to discuss how you would approach building scalable, production-ready ML systems.