Machine Learning & AI Engineering Lead

Mars; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A leading company in the food and beverage sector is looking for a Machine Learning & AI Engineering Lead to enhance their product innovation through AI and data-driven solutions. This hybrid role requires expertise in developing scalable AI systems and collaboration with diverse teams to drive technology advancements. If you are passionate about leveraging data to optimize processes, we invite you to apply.

Benefits

Hybrid working

Competitive salary

Bonus

Access to Mars University

Best-in-class development support

Qualifications

• 5-7 years in AI/ML roles, ideally in CPG, retail, or health.
• Strong track record of delivering data-driven solutions.
• Hands-on experience with relevant tools and frameworks.

Responsibilities

• Lead a team to design and deploy AI/ML and generative AI models.
• Monitor model performance and define KPIs.
• Collaborate with cross-functional squads to deliver technical products.

Skills

AI/ML

Engineering

Problem-solving

Communication

Collaboration

Education

Bachelor's or Master's in Computer Science, Data Science or related field

Tools

AzureML

Databricks

MLOps frameworks

CI/CD

Job description

Experienced Global Talent Acquisition Partner covering Tech & Digital

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)
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Food and Beverage Manufacturing

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