Machine Learning and AI Engineering Lead
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Experienced Global Talent Acquisition Partner covering Tech & Digital
Machine Learning and AI Engineering Lead - London
Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s, SNICKERS, TWIX, MILKY WAY, DOVE, PEDIGREE, ROYAL CANIN, WHISKAS, EXTRA, ORBIT, SKITTLES, BEN’S ORIGINAL, and COCOAVIA. Alongside our consumer brands, we proudly take care of half of the world’s pets through our nutrition, health, and services businesses such as Banfield Pet Hospitals, BluePearl, Linnaeus, AniCura, VCA, and Pet Partners. Headquartered in McLean, VA, Mars operates in more than 80 countries. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency, and Freedom – inspire our 130,000 diverse associates to act daily towards creating a better tomorrow.
Job Description:
Royal Canin is undergoing a significant digital transformation. Our ability to solve critical problems across Mars in a user-centric way through data & analytics is fundamental to our growth and transformation. Early successes and foundational capabilities are enabling us to accelerate problem-solving and drive value for Mars Inc.
Opportunities include deriving insights from our data ecosystems, leveraging external data to better understand our customers and consumers, and unlocking efficiencies across our end-to-end value chain.
We are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team to accelerate our data and analytics agenda.
The Lead will oversee the development and deployment of ML and AI solutions across our data portfolio. This role is crucial for leveraging advanced technologies to innovate and improve efficiency. The Lead will collaborate closely with the Data Science team to develop and execute an AI and ML roadmap aligned with business objectives.
Key Responsibilities:
- Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A.
- Collaborate with the Data Science team to design, prototype, and build next-generation ML and AI products.
- Design and review technical architecture for data science, ML, and AI solutions.
- Develop and oversee MLOps and LLMOps strategies, aligning with broader Petcare strategies.
- Review code for deployment readiness, optimizing methodologies.
- Coach data scientists and promote good engineering practices.
- Create scalable, interpretable model training pipelines integrated into web applications and APIs.
- Define KPIs and monitoring systems for deployed solutions, including incident management strategies.
- Engage with platform teams to scope and implement accelerators.
- Stay updated on MLOps advancements and incorporate relevant techniques.
- Maintain comprehensive documentation for models and deployment processes.
- Partner with product teams to leverage ML and AI for added value.
Qualifications:
- 5-7 years of experience in a quantitative role, preferably in CPG or retail.
- Proven success in delivering AI/ML/data science products in agile environments with scalable, reusable codebases.
- Ability to translate business challenges into analytical solutions.
- Strong customer-centric approach to driving value and adoption.
- Strategic thinking, problem-solving, and innovation skills.
- Knowledge of ML Ops and DevOps frameworks.
- Familiarity with Microsoft Azure stack, including AzureML, Azure AI Foundry, Databricks.
What We Offer:
- Opportunity to work with talented, diverse associates guided by our Five Principles.
- Purpose-driven work aimed at building a better tomorrow.
- Comprehensive learning and development support, including Mars University.
- Competitive salary and benefits, including bonuses.
Equal Opportunity Statement:Mars is an equal opportunity employer committed to diversity and inclusion. Accommodations are available upon request for applicants with disabilities.
Seniorities and Employment Type
- Mid-Senior level
- Full-time
Job Function and Industry
- Information Technology
- Food and Beverage Manufacturing
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