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Added 15 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 15 days ago
I
Site Reliability Engineer
i3D.net
Montreal, QC
- Full-time
…services. You will operate at the intersection of operations and engineering, combining day-to-day operations, incident response, and continuous improvement through…
Added 15 days ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Stacktics will rely on the Head of Data Systems with ownership of the Data Systems function including mentoring and support for our team of engineers, developers, marketing analysts and…
Added 15 days ago
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Staff Backend Engineer
Emumba
Remote, Canada
- Full-time
- Remote
…and secure distributed systems. As a critical member of our engineering team, you'll use your expertise in Python to build cloud-native applications that power our core services. We…
Added 15 days ago
MM
Oliver Wyman - Software Developer - Data & Analytics (DNA) - Montreal
Marsh McLennan
Montreal, QC
- Full-time
· Expérience pratique récente avec Python et, idéalement, avec un autre langage serveur (C#, .NET, Java, Rust ou C++).
Added 15 days ago
Cryogenics Engineer II [639]
D-Wave
Burnaby, BC
Experience analyzing time-series data or using Python for engineering analysis.
Added 15 days ago
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Senior DevOps Engineer
BuzzClan
Toronto, ON
- Contract
…infrastructure and CI/CD pipelines supporting application, integration, data-processing, and frontend…
Added 15 days ago
JG
Playwright QA Specialist
J&M Group
Toronto, ON
- Contract
6 8 years of Quality Engineering or Software Testing experience.
Added 15 days ago
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Digital S/W Engineering Product Lead Analyst, Vice President
Citi
Mississauga, ON
- Full-time
Partner with Enterprise Architecture, Information Security, and Core Engineering teams to design resilient, scalable, and secure API integrations, webhooks, event-driven pipelines, and data…
Added 15 days ago
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Technology Lead Analyst – Infrastructure Orchestration
Citi
Mississauga, ON
- Full-time
This role sits at the intersection of platform engineering and infrastructure automation, requiring a deep technical practitioner who can both architect scalable solutions and contribute…
Added 15 days ago
MT
Design Verification Intern
Marvell Technology
Toronto, ON · CA-ON - Ontario - Toronto
- Full-time
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our…
Added 15 days ago
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Senior Conversational Bot Engineer
Quantiphi
Toronto, ON
- Full-time
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We…
Added 15 days ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.
Added 15 days ago
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Data & Analytics Architect
HRConnects
Toronto, ON
- Full-time
We’re seeking an experienced senior professional to lead the design and implementation of enterprise data, analytics, and AI platforms using AWS and Databricks. This hybrid role combines…
Added 15 days ago
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Professional Senior, Engineering - Aircraft Structural Dynamics
Bombardier
Montreal, QC
- Full-time
Aircraft Structural Dynamics, Professional Senior, Engineering
Added 15 days ago
SC
Developpeur native IA/Python (Senior)
SII Canada
Montreal, QC
- Full-time
Expérience en data engineering : preprocessing, feature engineering et data pipelines
Added 15 days ago
GS
Developpeur native IA/Python (Senior)
Groupe SII
Montreal, QC
- Full-time
Expérience en data engineering : preprocessing, feature engineering et data pipelines
Added 15 days ago
BB
Software Programmer
Bosch Building Technologies North America
Ottawa, ON
- Full-time
Work directly with other Systems Analysts, Project Managers, Sales, and Engineering resources to help design IT infrastructure supporting Physical Security and Audio Video solutions
Added 15 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 15 days ago
RB
Associate Director, Global Risk Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Excellent programming skills (e.g., Python, MatLab)
Added 15 days ago
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Data Analyst
Syntrace
Toronto, ON
- Full-time
You will turn our data into decisions: analyzing how customers use the product, measuring the quality of what our AI delivers and answering the questions our team needs answered. You will…
Added 15 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 15 days ago
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Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and…
Added 15 days ago
F
SQA Automation Analyst
Fujitsu
Montreal, QC
- Full-time
The SQA Automation Developer is responsible for designing, developing, and maintaining automated test solutions that ensure product quality across multiple platforms and systems. This role…
Added 15 days ago
F
SQA Automation Analyst
Fujitsu
Montreal, QC
- Full-time
The SQA Automation Developer is responsible for designing, developing, and maintaining automated test solutions that ensure product quality across multiple platforms and systems. This role…

Hays

Machine Learning Engineer

Toronto, ON, Canada

Pay Rate/Salary: $90/hr to $100/hr on Inc · Contract

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Job details

Pay: Pay Rate/Salary: $90/hr to $100/hr on Inc
Job type: Contract
Apply by: Nov 21, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

Pay Rate/Salary: $90/hr to $100/hr on Inc

Your New Role:

We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians daily.

What You’ll Do:

The successful candidate will develop, train, evaluate, and improve ML and deep learning models.
The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
You will build PyTorch-based models for practical business use cases, analyze model performance and iterate based on clear metrics, and build reusable training, evaluation, and inference workflows.
The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.

What We’re Looking For:

Hands-on experience developing ML models
Strong Python programming skills.
Experience with PyTorch or similar deep learning frameworks.
Good grasp of ML fundamentals: training, validation, evaluation, optimization, overfitting, and generalization.
Experience gathering, cleaning, analyzing, and preparing data for ML.
Good software engineering practices: clean code, version control, testing, and documentation.
Strong ownership mindset and ability to drive work forward.
Clear communication and collaboration skills.
Especially Valuable
Experience with personalized recommendations, search, ranking, or relevance systems.
Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.
Experience supporting ML models in production.

How You’ll Succeed:

You’ll join a collaborative, fast-paced team working on cutting-edge ML problems that directly impact how millions of Canadians shop. We offer competitive compensation, continuous learning opportunities, and the chance to work with the latest technologies in machine learning and AI.
You will collaborate with highly skilled teams on impactful projects that touch the lives of millions of Canadians, thriving in an inclusive and supportive culture that celebrates diversity of thought and experience.
By embracing our values of authenticity, trust, and connection, you’ll help drive innovation and shape the future of eCommerce.

What You'll Get in Return:

You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment. Competitive compensation, continuous learning opportunities, and exposure to the latest technologies in machine learning and AI. You will collaborate with highly skilled teams on impactful projects while working in an inclusive and supportive culture that celebrates diversity of thought and experience.

What You Need to Do Now:

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

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More about this job

Responsibilities

Develop, train, evaluate, and improve machine learning and deep learning models, including PyTorch models for personalization and other business use cases. Build reusable training, evaluation, and inference workflows, analyze performance metrics, and collaborate with data, product, and engineering teams while documenting findings and trade-offs.

Requirements

Candidates should have hands-on machine learning experience, strong Python skills, and experience with PyTorch or a similar deep learning framework, along with a solid grasp of model training, validation, evaluation, and optimization. They should also be able to prepare data for machine learning, follow sound software engineering practices, take ownership, and communicate effectively; experience with recommendation systems, cloud tools, or production ML is especially valuable.

Skills

Machine Learning
Deep Learning
Python
PyTorch
Model Training
Model Evaluation
Data Analysis
Feature Preparation
Experimentation
Model Optimization
SQL
BigQuery
Spark
Dataflow
Airflow
Kubernetes

Benefits

Competitive Compensation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Python
PyTorch
Personalization
Recommendations
Search
Ranking
Relevance Systems
Model Training
Model Evaluation
Model Optimization
Data Analysis
Feature Preparation
Experimentation
Inference Workflows
GCP
BigQuery
SQL
Spark
Dataflow
Airflow
Kubernetes
Cloud-Based ML
Production ML
Version Control
Testing
Documentation
eCommerce

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