Machine Learning & AI Engineering Lead

🚀 Machine Learning & AI Engineering Lead | London (Hybrid)

Join Mars on a mission to use data and AI to shape a better world—for people and pets alike.

We’re looking for a “Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business.

🌍 Why this role matters:

At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine learning, and AI to fulfil our commitment to constantly optimize our processes and innovate our products, ensuring better nutrition for pets. By connecting Petcare data ecosystems, building generative AI tools, and automating insight delivery, we aim to enhance nutrition and care for millions of pets. This role is central to making that happen.

🎯 What you'll do:

• Lead a team of engineers to design and deploy AI/ML and generative AI models
• Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code
• Monitor model performance, define KPIs, and continuously improve solutions
• Collaborate with cross-functional squads to deliver technical products that create real value powered by ML and AI
• Stay sharp—bring in new thinking, tools, and ideas to drive our capability forward

💡 What you’ll bring:

• 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health)
• Line management experience
• Passion for engineering & strong track record of delivering data-driven solutions that stick
• Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD
• A strategic, problem-solving mindset and effective communication skills
• A passion for collaboration, coaching, and continuous learning

🎁 What you’ll get:

• Hybrid working + competitive salary + bonus
• Access to Mars University + best-in-class development support
• Work with 130,000 diverse Associates who live our Five Principles
• A purpose-led culture committed to inclusion, mutuality and making tomorrow better

Disclaimer: Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request

🔗 Sound like your next move? Apply now or connect with us to learn more.