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- Tasks: Lead a team to design and deploy innovative AI/ML solutions.
- Company: Join Mars, a global leader committed to better nutrition for pets through technology.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and access to top-notch development resources.
- Why this job: Make a real impact on pet health while collaborating in a diverse, purpose-driven culture.
- Qualifications: 5-7 years in AI/ML, line management experience, and strong coding skills required.
- Other info: Mars is an equal opportunity employer, promoting inclusion and support for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
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 will 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 will 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 will 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 will 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
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.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning & AI Engineering Lead
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in the context of consumer packaged goods (CPG) and health. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led teams in previous roles. Highlight specific projects where you guided engineers or data scientists to achieve significant outcomes, as this is crucial for the Machine Learning & AI Engineering Lead position.
✨Tip Number 3
Network with professionals in the AI and ML community, particularly those who have experience in CPG or retail sectors. Engaging with industry peers can provide insights into the company culture at Mars and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your hands-on experience with tools like AzureML and Databricks. Be ready to explain how you've implemented MLOps frameworks and CI/CD processes in past projects, as this technical expertise is essential for the role.
We think you need these skills to ace Machine Learning & AI Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning, especially any leadership roles. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for engineering and your strategic mindset. Mention specific projects where you've successfully implemented AI/ML solutions and how they align with Royal Canin's mission.
Showcase Technical Skills: In your application, emphasise your hands-on experience with AzureML, Databricks, and MLOps frameworks. Provide examples of how you've used these tools to deliver data-driven solutions.
Highlight Leadership Experience: Since this role involves leading a team, be sure to detail your line management experience. Discuss your approach to coaching and collaboration, and how you've fostered a culture of continuous learning in previous roles.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI/ML tools like AzureML and Databricks. Highlight specific projects where you've successfully implemented MLOps frameworks and CI/CD processes, as this will demonstrate your capability to lead technical teams effectively.
✨Demonstrate Leadership Skills
Since this role involves leading a team, be ready to share examples of your line management experience. Discuss how you've coached team members, fostered collaboration, and driven performance improvements in previous roles.
✨Emphasise Problem-Solving Abilities
Prepare to talk about complex problems you've solved in the past, particularly in AI/ML contexts. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your strategic mindset and ability to deliver data-driven solutions.
✨Align with Company Values
Research Royal Canin's mission and values, especially their commitment to health through nutrition for pets. Be ready to discuss how your personal values align with theirs and how you can contribute to their purpose-led culture.
