Machine Learning Engineer
Pattison Food GroupCity of Langley, British Columbia, Canada
Posted May 5, 2026
94552 - 118190 USD
About the Company
Established in 2021, the Pattison Food Group is a Jim Pattison business and Western Canada’s leading provider of food and drugs. The Pattison Food Group includes Save-On-Foods, Buy-Low Foods, Quality Foods, Everything Wine, Pure Integrative Pharmacy, Imperial Distributors Canada Inc., More Rewards and other Jim Pattison Group specialty and wholesale operations. Its businesses employ more than 30,000 team members in nearly 300 food and drug retail locations and share a passion for giving back to the communities where they do business. Pattison Food Group businesses are leaders in customer service and innovation and are committed to achieving long-term growth.
Job Description
Come join Pattison Food Group Ltd. and work as a Machine Learning Engineer to extract value from data and build large-scale, distributed machine learning systems using the latest open source and cloud technologies.
Requirements
- A Master's or bachelor's degree in computer science, applied mathematics, or engineering.
- 3+ years of experience in building end-to-end machine learning pipelines.
- Experience in MLOps to deploy and maintain machine learning models.
- Experience working with Large Language Models (LLMs) including prompt engineering, fine-tuning and integrating LLM-based solutions into production-grade machine learning systems (nice to have).
- Experience building, managing, and deploying Databricks Asset Bundles (DABs) or similar infrastructure-as-code frameworks to package, version, and promote data and ML workloads across environments (nice to have).
- Experience building systems with scalable data processing technologies using Spark, Python, SQL.
- Experience in CI/CD and be able to follow standard workspace branching practices.
- Exposure to Databricks and associated tools like ML Flow and Delta Lake.
- Familiarity with data-oriented workflow orchestration frameworks (Databricks Jobs, Azure Data Factory, Airflow etc.).
- Experience developing containers in cloud computing environments (Azure, AWS, GCloud, etc.).
- Exposure to machine learning and drift detection methodology and best practices.
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, etc..)
- Rigor in high code quality, automated testing, and other engineering best practices.
- Experience working with cloud computing and database systems.
- Fluency in one or more programming languages (Python, SQL, etc..)
- Experience with version control tools such as Git and Git workflows.
Benefits
- Competitive salary
- Company pension plan
- Free parking
- Exclusive team member offers
- Opportunities for development and career progression
