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Loblaw Companies Limited

Machine Learning Engineer II

On site

Brampton, Canada

Junior

Full Time

26-11-2025

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Skills

Python GitLab CI/CD Monitoring Jenkins Machine Learning PyTorch Scikit-Learn TensorFlow Organization react cloud platforms Analytics GCP Flask FastAPI Langchain Full-Stack Development CI/CD Pipelines Gitlab CI Express

Job Specifications

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

About the Company

Our Purpose - Live Life Well Loblaw Companies Limited is Canada's food and pharmacy leader, the nation's largest retailer, and the majority unit holder of Choice Properties Real Estate Investment Trust. Loblaw - and its portfolio of grocery, health and beauty, financial services and apparel businesses - provides Canadians with an unparalleled mix of value, assortment and convenience, and offers Canadians two of the country's most recognized brands - President's Choice and no name. The acquisition of Shoppers Drug Mart, alo... Know more