Senior Machine Learning Engineer

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

Job summary

Loblaw Companies Limited is seeking a Senior Machine Learning Engineer in Toronto who will be responsible for developing and deploying robust AI systems. The role requires strong expertise in Python and ML algorithms, with at least 5 years of hands-on experience. The ideal candidate must excel in collaboration and problem-solving and be passionate about building innovative AI solutions. A comprehensive hiring range from $128,000 to $176,000 is offered, depending on experience and location.

Qualifications

• 5+ years of hands-on experience building scalable ML products.
• Proven experience deploying ML solutions in microservices architecture.
• Experience in using LangChain ecosystem or other Agentic frameworks.

Responsibilities

• Design, build and ship multiple components within an Agentic AI system.
• Develop high-performance enterprise-level Machine Learning models.
• Mentor other machine learning developers and take ownership of system components.

Skills

Machine Learning algorithms

Python programming

SQL

GCP tools

NLP

MLOps

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Vertex AI

BigQuery

Cloud Composer

Cloud Storage

Job description

A 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 – You are always thinking about automation and are comfortable using AI for productivity.
• 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.

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.

Employment Type:

Full time

Type 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.

Hiring Range / Échelle salariale à l’embauche :$128,000.00 – $176,000.00 / 128.000,00$ – 176.000,00$ (per year / par an). A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.