Company:
Loblaws
Job Title:
Machine Learning Engineer
Location:
Toronto,ON,Canada
Job ID:
193960132
Date:
10/20/2025
Salary:
NOT SPECIFIED

Loblaws

Machine Learning Engineer

Job ID: R2000587853
Job  Description:We are seeking an experienced Machine Learning Engineer to join our team, focusing on the development and deployment of advanced AI systems and sophisticated search agents. This role involves leveraging ML and cutting-edge Large Language Models (LLMs) for building robust, scalable AI applications in the Retail vertical.What You'll Do:
  • Customer-First Mindset - Passion for building AI  products that make people's lives easier and allow them to focus on what is important to them.
  • Strong Collaboration - Excellent communication skills and ability to thrive in a collaborative, fast-paced environment.
  • Problem-Solving Excellence - Analytical thinker who can identify, diagnose, and resolve technical challenges in ML pipelines and scalability.
  • Automation-First Approach - You are always thinking about automation and are comfortable using AI for productivity.
  • Adaptability & Innovation - Willingness to quickly learn new technologies and continuously improve the system.
  • Ownership & Initiative - Ability to take ownership of your work and drive it to production.

Does This Sound Like You?
  • Bachelor's degree or equivalent in Computer Science or a related field alongside a strong foundation in ML algorithms, ML pipelines, and transformations, with 2+ years of hands-on experience building scalable ML products.
  • Software engineering proficiency in Python, SQL, and Design Patterns, with proven experience deploying ML solutions in microservices architecture.
  • Experience using GCP tools like Vertex AI, BigQuery, Cloud Composer and Cloud Storage.
  • Knowledge in LangChain ecosystem or other Agentic frameworks, NLP, LLMs, RAGs and embedding models.
  • Skilled in distributed data processing, ML workflow automation (Apache Airflow), CI/CD practices, and MLOps for seamless integration and deployment.
  • Committed to code quality at every stage of the ML lifecycle, with a strong mindset in testing methodologies (unit, integration, end-to-end) and container orchestration using Docker and Kubernetes.
How You'll Succeed:At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.  We're able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we'll get along just fine. Looking for a challenge? Good. Love an innovative work environment? Even better. Apply today.Employment Type:Full timeType of Role:Regular Loblaw Digital 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. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct - it reinforces what our customers and stakeholders expect of us.
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