At a Glance
- 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, welcoming diverse applicants.
The predicted salary is between 48000 - 84000 £ 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.
Machine Learning & AI Engineering Lead employer: LinkedIn
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 during interviews but also demonstrate your genuine interest in the industry.
✨Tip Number 2
Network with professionals in the AI and ML fields, particularly those who have experience in CPG or retail. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences at companies like Royal Canin.
✨Tip Number 3
Showcase your leadership skills by discussing any past experiences where you've successfully led a team or project. Highlight how you coached others in technical skills or fostered collaboration, as this aligns with the role's requirements.
✨Tip Number 4
Prepare to discuss specific examples of how you've implemented MLOps and CI/CD practices in previous roles. Being able to articulate your hands-on experience with tools like AzureML and Databricks will set you apart from other candidates.
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, particularly any leadership roles or projects that align with the responsibilities outlined in the job description. Use specific examples to demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for engineering and how your background aligns with Royal Canin's mission. Mention your experience with AzureML, Databricks, and MLOps frameworks, and how you can contribute to their goals.
Showcase Your Leadership Skills: Since this role involves leading a team, be sure to include examples of your line management experience. Highlight how you've coached teams and delivered data-driven solutions in previous roles.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI/ML. This shows your commitment to staying updated with industry trends and your passion for continuous improvement.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI/ML technologies, especially AzureML and Databricks. Highlight specific projects where you've successfully implemented MLOps frameworks and CI/CD processes.
✨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 teams and fostered collaboration to achieve project goals.
✨Understand the Business Impact
Research Royal Canin's mission and how AI/ML can enhance pet nutrition. Be prepared to articulate how your work can create real value for the company and its customers, aligning with their purpose-led culture.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your strategic thinking and problem-solving abilities. Think of examples where you've tackled complex challenges in AI/ML and how you continuously improved solutions based on performance metrics.