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Added 2 mins ago
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Loblaw Companies Limited

Machine Learning Software Developer I

Brampton, ON, Canada

Pay: $80,000.00 - $110,000.00 / 80.000,00$ - 110.000,00$ (per year / par an)
Job type: Full-time
Apply by: Oct 28, 2026
Experience: 1–2 years of hands-on experience in Data Science, ML Engineering, Data Engineering, AI Platform Engineering, or a related technical domain.
Posting language: English
Posted: Sep 28, 2026

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Original job description

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

Come make your difference in communities across Canada, where authenticity, trust, and making connections are valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

Does working with some of Canada’s most talented minds in innovation, supporting retail, digital consumer solutions, analytical platforms, and AI platforms excite you? Loblaw Technology powers some of Canada’s most game-changing retail solutions, giving our customers the ability to live their lives well.

Come work with a team that values diverse ideas, fosters a culture of inclusion, and develops our talent from within. Loblaw Technology gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!

Machine Learning Engineering I, Brampton Ontario

What You'll Do

Develop and implement robust Machine Learning and AI platform solutions, contributing to the full lifecycle from data preparation, experimentation, and model development to deployment, monitoring, and continuous improvement.
Support the development of scalable AI platform capabilities, including reusable services, tools, APIs, and infrastructure that enable teams to build, deploy, and operate ML and GenAI solutions efficiently.
Collaborate on the architecture and implementation of MLOps and LLMOps pipelines to automate and streamline model deployment, versioning, evaluation, monitoring, governance, and lifecycle management.
Contribute to the implementation and optimization of scalable, secure, and reliable ML and AI infrastructure, leveraging Google Cloud Platform, containerized workloads, K8s,and modern cloud-native engineering practices.
Build and maintain scalable data pipelines and feature engineering workflows that support analytics, reporting, ML models, and GenAI use cases.
Work closely with cross-functional teams including product, engineering, analytics, data science, platform, and business stakeholders to deliver high-quality data, ML, and AI platform solutions supporting analytics, reporting, automation, and GenAI initiatives.
Assist in integrating AI capabilities into enterprise applications and platforms, including model APIs, prompt workflows, retrieval-augmented generation patterns, evaluation processes, and responsible AI controls.
Monitor the performance, reliability, and quality of ML and AI systems, identifying opportunities for continuous optimization, automation, cost efficiency, and improved user experience.
Stay current with emerging technologies and industry trends in data engineering, ML, MLOps, AI platforms, and GenAI, applying new knowledge to enhance our solutions.
Participate in project delivery, technical planning, documentation, and operational support to ensure successful execution and adoption of data, ML, and AI platform projects.

What You Bring

Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.
1–2 years of hands-on experience in Data Science, ML Engineering, Data Engineering, AI Platform Engineering, or a related technical domain.
Experience designing, implementing, or supporting data platforms, ML systems, or AI solutions on cloud platforms, preferably Google Cloud Platform.
Strong technical knowledge of data and ML architecture, ML models, ETL/ELT processes, APIs, distributed computing concepts, and cloud-native development.
Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with MLOps tools and platforms such as MLflow, Kubeflow, Vertex AI, Vertex AI Pipelines, model registries, experiment tracking, and model monitoring.
Exposure to GenAI or AI platform concepts, such as large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation, model evaluation, or responsible AI practices.
Experience designing or contributing to CI/CD pipelines, automated testing, infrastructure-as-code, or deployment workflows.
Familiarity with containers, APIs, orchestration, and cloud services, such as Docker, Kubernetes, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, or related technologies.
Excellent communication, problem-solving, and collaboration skills, with the ability to work effectively within a team and partner with technical and non-technical stakeholders.

Nice to Have

Experience with Vertex AI, Gemini, LangChain, MCPs, vector databases, or enterprise GenAI application patterns.
Familiarity with LLMOps practices, including prompt versioning, model evaluation, guardrails, hallucination mitigation, observability, and feedback loops.
Experience building or supporting shared platforms, developer tooling, reusable templates, or self-serve capabilities for data science, ML, or AI teams.
Understanding of responsible AI, data privacy, security, and governance considerations in enterprise AI environments.

What Loblaw Offers You

We offer flexibility and balance, and an environment that sets you up for success no matter where your workspace is located. Here, you will find a great team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues, and customers every day.

Loblaw Colleagues Also Enjoy

Work Perks Program
On-site Fitness, Basketball & Volleyball courts, Ice Rink, Dry Cleaning services at 1PCC Office
Tuition Reimbursement & Online Learning
Pension & Benefits
Paid Vacation

If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started.

Loblaw 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. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued, and supported. We are committed to being an equal opportunity employer and encourage people from all backgrounds and identities to apply to our jobs. Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.

Please Note

Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

Hiring Range / Échelle Salariale à L’embauche

$80,000.00 - $110,000.00 / 80.000,00$ - 110.000,00$ (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.

#EN

#SS #LTnA #ON

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More about this job

Responsibilities

Develop and support machine learning and AI platform solutions across the lifecycle, including data preparation, model development, deployment, monitoring, and continuous improvement. Build scalable data pipelines and cloud-native MLOps/LLMOps capabilities, integrate AI into enterprise applications, and collaborate with cross-functional teams to deliver reliable, secure solutions.

Requirements

Requires a bachelor's or master's degree in computer science, data science, engineering, or a related field, plus 1–2 years of relevant technical experience. Candidates should have Python and machine learning framework proficiency, knowledge of cloud and data/ML architecture, and exposure to MLOps, GenAI, CI/CD, containers, APIs, and orchestration.

Skills

Python
Machine Learning
Artificial Intelligence
Data Engineering
Google Cloud Platform
MLOps
LLMOps
TensorFlow
PyTorch
Scikit-Learn
Vertex AI
Kubernetes
Docker
CI/CD
Data Pipelines
Retrieval-Augmented Generation

Benefits

Work Perks Program
On-Site Fitness Facilities
Basketball and Volleyball Courts
Ice Rink
Dry Cleaning Services
Tuition Reimbursement
Online Learning
Pension
Benefits
Paid Vacation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Data Science
Data Engineering
AI Platform Engineering
Python
TensorFlow
PyTorch
Scikit-Learn
Google Cloud Platform
Vertex AI
Vertex AI Pipelines
MLflow
Kubeflow
MLOps
LLMOps
Generative AI
Large Language Models
Prompt Engineering
Embeddings
Vector Databases
Retrieval-Augmented Generation
BigQuery
Kubernetes
Docker
Cloud Run
Cloud Functions
Pub/Sub
CI/CD
Infrastructure as Code

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