Machine Learning and AI Engineering Lead

ENGINEERINGUK; East Hampshire, London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading company is seeking a Machine Learning and AI Engineering Lead to oversee solution development and deployment across their Data & Analytics portfolio. This role involves collaborating with data scientists, designing technical architecture, and developing MLOps strategies to enhance efficiencies. The ideal candidate will have extensive experience in AI/ML product delivery and a strong customer-centric mindset.

Benefits

Opportunities for growth and development

Competitive salary and benefits

Bonuses

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.

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.

Skills

Analytical Solutions

Customer-Centric Mindset

Strategic Thinking

Tools

Microsoft Azure

AzureML

Databricks

Job description

You will need to login before you can apply for a job.

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 values, culture, and latest jobs.

Create a job alert to receive personalized recommendations directly to your inbox.