Senior Machine Learning Engineer

Loblaw Digital; Toronto; On-site; CAD 128,000 - 176,000; Full time

Job summary

Loblaw Digital in Toronto is seeking a Senior Machine Learning Engineer who will focus on developing and deploying advanced AI systems. The ideal candidate will have extensive experience in building scalable ML products, strong proficiency in Python, SQL, and software engineering best practices, as well as experience with GCP tools. This full-time role offers a competitive salary range of $128,000 to $176,000 per year, fostering a collaborative approach to innovation in a diverse work environment.

Qualifications

• 5+ years of hands-on experience building scalable ML products.
• Proven experience building and deploying ML solutions in microservices architecture.
• Strong foundation in ML algorithms and testing methodologies.

Responsibilities

• Design and build components within an Agentic AI system.
• Develop ML models using massive datasets.
• Collaborate with teams to deploy ML models in production.

Skills

Machine Learning algorithms

Python programming

SQL

GCP tools

ML workflow automation

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Vertex AI

BigQuery

Job description

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.

Why is this role important?

We are seeking a Senior Machine Learning Engineer to join our team, focusing on the development, deployment and testing 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, as well as mentoring other ML developers.

What You’ll Do

• Design, build and ship multiple components within an Agentic AI system utilizing state of the art technologies to solve business problems.
• Develop high‑performance enterprise‑level Machine Learning models and AI agents using Python programming, leveraging massive structured and unstructured datasets and APIs from various internal and external sources.
• Champion and lead best practices for MLE and LLMOps.
• Collaborate with front end and back end engineering teams to build and deploy ML models and agentic components in production.
• Take ownership of system components, mentor other machine learning developers, and contribute to raising the technical bar within the team.
• Document and share results and findings with stakeholders in a structured manner and drive technical discussions cross‑functionally.

Does This Sound Like You?

• 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 cross‑functional, 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 – Comfortable using AI for productivity and always looking for automation.
• Adaptability & Innovation – Willingness to quickly learn new technologies, mentor others and continuously improve the system.
• Ownership & Initiative – Ability to take ownership of key product components and drive impactful improvements.

Qualifications

• Bachelor’s degree or equivalent in Computer Science or a related field alongside a strong foundation in ML algorithms, ML pipelines, and transformations, with 5+ years of hands‑on experience building scalable ML products.
• Software engineering proficiency in Python, SQL, and Design Patterns, with proven experience building and deploying ML solutions in microservices architecture in production.
• 2+ years experience using GCP tools in ML workflows like Vertex AI, BigQuery, Cloud Composer and Cloud Storage.
• Proven experience in LangChain ecosystem or other Agentic frameworks, NLP, LLMs, RAGs and embedding models.
• Skilled in ML workflow automation/deployment and MLOps for seamless integration and deployment, and have supported ML products in production environments.
• 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.

Employment Type

Full time

Type Of Role

Regular

EEO Statement

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.

Salary

Hiring Range / Échelle Salariale à L’embauche: $128,000.00 - $176,000.00 per year