Toronto, ON
Actively hiring, first seen by us todayCareer growth opportunities and product discounts Broadband Salary Range: $64,000 – $106,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AK1Read the full posting
Experience in retail, loyalty, marketing, ecommerce, or customer analytics is an asset. Location: Toronto, Ontario (Hybrid: In-office 4 days per week) We’re always looking for great talent! In addition to competitive pay, we offer:Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Run the production engine: scheduled scoring, catalogue refreshes, releases and incident fixes
Own the ML models: classification, clustering, feature work, validation and drift management
Own GenAI prompts, model selection, tuning and catalogue-generation workflows
Build ML and GenAI evaluation frameworks with test sets, human review and regression tests
Lead refactoring or rebuilding of components that fall short of long-term needs
Run the production platform end-to-end, including scheduled scoring and catalogue refreshes
Own the platform's ML capabilities, including transaction classification, clustering, feature development
Own its GenAI capabilities, including prompt architecture, context construction, model selection
Build rigorous ML and GenAI evaluation frameworks using representative test sets
lead the refactoring, redesign or rebuilding of components that do not meet CTC's long-term needs
5+ years developing, deploying and supporting ML or AI solutions in production, including meaningful hands-on experience with production GenAI systems.
Experience selecting, evaluating and tuning foundation LLMs, with a clear understanding of when to use prompt engineering, retrieval, model adaptation or fine-tuning.
Experience evaluating GenAI systems through representative test sets, automated and human review, quality measures, structured error analysis, and production monitoring.
Experience implementing GenAI controls, including grounding, guardrails, validation, fallback strategies, observability and model and prompt lineage.
Experience with Azure and Databricks, including MLflow, Azure Data Lake Storage, Azure Data Factory, Synapse and related data and deployment services.
Experience with CI/CD, automated testing, version control, containerization, and release management for ML and GenAI applications.
We are united in our purpose of being here to help make life in Canada better.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 70.
At Canadian Tire, jobs usually come down by about day 14.
From 4,442 similar postings that came down, and 46 of Canadian Tire’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Implement production controls for GenAI, including guardrails, validation, confidence thresholds, fallback logic, version traceability and monitoring of quality, latency, usage and cost. - Write and maintain production-grade Python and PySpark code across large-scale data processing, feature engineering, model execution, testing and deployment. - Support Personalization and other enterprise use cases, translating requirements into platform enhancements and resolving model, data, integration and production issues.
- 5+ years developing, deploying and supporting ML or AI solutions in production, including meaningful hands-on experience with production GenAI systems. - Advanced Python, SQL, PySpark and Spark skills, with experience building maintainable, tested and production-grade software rather than analytical notebooks alone. - Strong foundation in supervised and unsupervised learning, including classification, clustering, feature engineering, model validation, monitoring, and drift detection.
- Experience implementing GenAI controls, including grounding, guardrails, validation, fallback strategies, observability and model and prompt lineage. - Experience with Azure and Databricks, including MLflow, Azure Data Lake Storage, Azure Data Factory, Synapse and related data and deployment services. - Experience with CI/CD, automated testing, version control, containerization, and release management for ML and GenAI applications.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
What You'll Do:
We are seeking a highly technical and hands-on ML/AI Engineer to take end-to-end ownership of one of CTC's strategic customer intelligence platforms. The platform combines machine learning, generative AI and large-scale transaction data to identify customer shopping missions and behavioural patterns across hundreds of millions of transactions. Its outputs support Personalization, marketing, merchandising, dealer and broader customer analytics use cases.
The successful candidate will lead the transition of the third party-developed engine into a fully owned CTC capability. This includes mastering the existing code, prompts, models, data pipelines and architecture; operating and improving the production engine; and determining where components should be tuned, refactored or rebuilt. The individual will be the technical authority for the platform across CTC and the primary partner to teams that depend on its outputs.
What You Bring:
Location: Toronto, Ontario (Hybrid: In-office 4 days per week)
We’re always looking for great talent! In addition to competitive pay, we offer:
Broadband Salary Range: $64,000 – $106,000.
Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.
#LI-AK1
We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.
About Us
Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.
Our Commitment to Diversity, Inclusion and Belonging
We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.
Accommodations
We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Career growth opportunities and product discounts Broadband Salary Range: $64,000 – $106,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AK1
Toronto, ON
- Experience in retail, loyalty, marketing, ecommerce, or customer analytics is an asset. Location: Toronto, Ontario (Hybrid: In-office 4 days per week) We’re always looking for great talent! In addition to competitive pay, we offer:
No clear work-authorization passage found. Eligibility is unconfirmed.