Machine Learning and AI Engineering Lead...

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Machine Learning and AI Engineering Lead Employer: Mars | Location:
London, United Kingdom | Salary: Competitive | Closing date: 12 Jun
2025 Job Description: Royal Canin is undergoing a significant
Digital Transformation journey. 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 have led us to accelerate our capabilities to solve
problems and generate value for Mars Inc. The role offers exciting
opportunities to connect and derive insights from our data
ecosystems, leveraging external data to better understand our
customers and consumers, and to enhance 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 & Analytics agenda. The
Lead will oversee ML and AI solution development and deployment
across the Data & Analytics portfolio, working closely with the
Data Science Lead to develop an AI and ML roadmap aligned with
business goals. Key Responsibilities: - Serve as the technical lead
for Generative AI and machine learning model deployment. -
Collaborate with the Data Science team to design, prototype, and
build 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 and optimize
methodologies. - Coach data scientists and promote good software
engineering practices. - Create scalable model training pipelines
integrated into cloud applications and APIs. - Define KPIs and
monitoring systems for deployed models, including incident
management strategies. - Engage with platform teams to scope and
implement accelerators. - Stay updated on MLOps advancements and
educate the team. - Maintain comprehensive documentation for models
and deployment processes. - Partner with Product Management to
leverage ML and AI for value generation. 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. - Ability to translate business challenges
into analytical solutions. - Strong customer-centric mindset and
strategic thinking. - Knowledge of ML Ops and DevOps frameworks. -
Familiarity with Microsoft Azure stack, including AzureML, Azure AI
Foundry, Databricks. What We Offer: - Collaborate with talented
teams guided by the Five Principles. - Purpose-driven work with
opportunities for growth and development, including Mars
University. - Competitive salary and benefits, including bonuses.
Mars is an equal opportunity employer. We welcome applicants
regardless of race, color, religion, sex, sexual orientation,
gender identity, national origin, disability, or veteran status.
Assistance or accommodations are available upon request during the
application process. Visit our company hub to learn about our
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