Machine Learning Engineer II at Loblaw Companies Limited

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

Does working with some of Canada’s most talented minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology powers some of Canada’s most game-changing retail solutions, giving our customers the ability to live their lives well.

Come work with a team that values diverse ideas, fosters a culture of inclusion and develops our talent from within. Loblaw Technology gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!

Machine Learning Engineer II, Brampton, ON

As a Machine Learning Engineer II, you will move beyond just building models; you will be required to design, build, and deploy the robust, end-to-end MLOps pipelines that power our most critical initiatives, including our next-generation GenAI-driven loyalty program. Ideally, you are an Software Engineer who has specialized in a production-focused ML role and is passionate about building scalable, high-quality systems, especially within the GCP ecosystem.

What You’ll Do:

• Own the design, development, deployment and support of complex ML components and solutions, contributing significantly to the full ML lifecycle.
• Design, build, and maintain end-to-end MLOps pipelines to automate and streamline model deployment, versioning, advanced monitoring, and governance.
• Work closely with cross-functional teams (product, engineering, analytics) to translate business requirements into robust technical solutions and deliver high-impact ML projects, including GenAI initiatives.
• Uphold and champion best practices for data integrity, governance, security, and compliance in all ML systems.
• Proactively monitor the performance of production ML systems, implementing robust monitoring strategies and driving continuous optimization efforts.
• Contribute to code reviews and provide technical guidance to junior engineers, helping to raise the team's bar for code quality and software design.
• Participate actively in project delivery and technical planning, helping to scope, estimate, and break down complex tasks.
  
  

What you Bring:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• 3-5 years of hands-on experience in software engineering and/or machine learning engineering, with an emphasis on building and deploying production-grade ML systems.
• Expert-level proficiency in Python and software engineering fundamentals (e.g., data structures, algorithms, design patterns, unit/integration testing).
• Proven experience in designing and building production-grade ML systems and data pipelines on cloud platforms, preferably GCP (Vertex AI, GKE, BigQuery, etc.).
• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Vertex AI Pipelines, Airflow).
• Demonstrable experience building complex CI/CD pipelines (e.g., GitLab CI, Jenkins, Cloud Build) for ML applications.
• GenAI (Bonus): Experience with Generative AI, including building RAG pipelines, fine-tuning, and deploying LLMs (e.g., using LangChain, LlamaIndex, or open-source models).
• Full-stack (Bonus): Experience with full-stack development (e.g., building REST APIs with FastAPI/Flask, or frontend experience with React/Vue) to create end-user-facing ML applications.
  
  

What Loblaw Offers You

We offer flexibility and balance, and an environment that sets you up for success no matter where your workspace is located.

Here, you will find a great team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues and customers every day.

Loblaw colleagues also enjoy:

• Work Perks Program
• On-site GoodLife Fitness, Basketball & Volleyball courts, Ice Rink, Groceries delivered to work via PC Express, Dry Cleaning services (1PCC Office)
• Tuition Reimbursement & Online Learning
• Pension & Benefits
• Paid Vacation
  
  

If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started.

Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued and supported. We are committed to being an equal opportunity employer and encourage people from all backgrounds and identities to apply to our jobs. Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

www.Loblaw.ca/careers

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.

Please Note:

Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

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