Jobs in Canada

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Added 14 hours ago
RC
Senior Data Science Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Data Science Developer to lead the technical design, development, and implementation of enterprise Artificial Intelligence (AI) solutions, Generative AI…
Added 14 hours ago
RC
Senior Machine Learning Engineer
Randstad Canada
Toronto, ON
- Contract
Production ML Engineering & Python: Strong Python and machine learning engineering skills with demonstrated experience taking models from experimentation into reliable, scalable production…
Added 14 hours ago
RC
Senior Data Science Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Data Science Developer to lead the development of advanced analytics, predictive models, and machine learning solutions that address critical enterprise…
Added 14 hours ago
RD
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
RBC Dominion Securities Inc.
Toronto, ON
- Full-time
We are particularly interested in candidates with strong technical expertise, a passion for data-driven problem-solving, and the ability to apply advanced AI techniques to real-world…
Added 14 hours ago
TR
Principal Engineer
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
Expertise with modern UI frameworks (React, Angular, Vue, or similar), TypeScript, Node.js, and Python.
Added 14 hours ago
P
ML Developer
Procom
Woodstock, ON
- $56.25 to $75 CAD / hour
- Contract
Contract until March 31, 2027 – with likely long term extension.
Added 14 hours ago
AI
Senior Actuarial Expert
Allianz Insurance
Toronto, ON
- Full-time
…both independent actuarial analysis and actively collaborating with various stakeholders. You will derive forward- looking loss ratio views to inform business steering and quarterly…
Added 14 hours ago
PA
Toronto Internal Audit & Financial Advisory (Financial Services) Associate Director
Protiviti, A Div of RH Canada
Toronto, ON
- Full-time
As an Associate Director, you'll take a lead role in strengthening our relationships with clients and providing seamless guidance in the completion of engagements. You'll partner with our…
Added 14 hours ago
TR
Senior Software Engineer – AI, Tax and Audit, FDE
Thomson Reuters (Tax & Accounting) Inc
Toronto, ON
- Full-time
- Hybrid
…their clients. As a Senior Software Engineer, you will combine Python, backend engineering, large language models (LLMs), and client-facing delivery to turn business needs into secure,…
Added 14 hours ago
QT
Near-Memory Compute System Validation Engineer
Qualcomm Technologies, Inc.
Markham, ON
- On-site
Partner closely with architecture, design, firmware, software, emulation, FPGA, and silicon teams to solve challenging system-level problems.
Added 14 hours ago
QC
Firmware Engineer, Edge AI Silicon Validation (Embedded C)
Qualcomm Canada ULC
Markham, ON
- On-site
Interact with multiple engineering teams (Digital and mixed signal design and verification, HW architecture, SW/FW), across different geographies to debug, isolate and resolve SW and…
Added 14 hours ago
QC
AI/ML Design Verification Engineer (Staff)
Qualcomm Canada ULC
Markham, ON
- On-site
Proficiency with scripting languages such as Python, Perl, Tcl, or shell for automation, debug acceleration, or flow improvements.
Added 14 hours ago
QT
SoC Infrastructure/NoC, Power & Performance Validation Lead, Staff (AI Accelerator Platform)
Qualcomm Technologies, Inc.
Markham, ON
- On-site
Come up with thorough performance validation plans and work closely with team members to ensure Performance-Power trade-offs are factored in
Added 14 hours ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
…Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk,…
Added 14 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- $136,700 to $182,300 CAD / year
- Full-time
Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.
Added 14 hours ago
TT
Data Scientist I (Quants) – Insurance Model Validation
The Toronto-Dominion Bank (Canada)
Toronto, ON
- Full-time
- On-site
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 14 hours ago
M
Intermediate Software Developer
modis
Toronto, ON
- Contract
- Temporary
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 14 hours ago
RC
Intermediate Software Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking an enthusiastic Intermediate Software Developer with a foundation in data science and artificial intelligence to support large-scale enterprise data and AI initiatives. In…
Added 14 hours ago
M-
Développeur.euse principal.e, Développement d’applications IA
Mila - Institut québécois d'intelligence artificielle
Montréal, QC
- Full-time
…collaboration between Université de Montréal and McGill University, with close links to Polytechnique Montréal and HEC…
Added 14 hours ago
ET
Braze Lead Developer
EXL Talent Acquisition Team
Canada
- Hybrid
We are seeking a hands-on Braze Lead Developer to build, integrate, and scale Braze solutions for enterprise clients. You will lead a team of developers while remaining deeply hands-on:…
Added 14 hours ago
CS
Senior Software Engineer, ML API – AI Inference
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Improve customer and developer experience. Partner with product, support, and solutions teams to understand user needs and make practical tradeoffs. Improve configuration, documentation,…
Added 14 hours ago
RP
GCP Cloud Architect/Engineer - BMO
Red Pico
Toronto, ON
- Contract
Experience building data processing pipelines using Dataflow with Python
Added 14 hours ago
Data Product Analyst (Data Science)
Adastra Corporation
Markham, ON
…combines strong data analysis and data science capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve…
Added 14 hours ago
CC
Scientist, Data Research
Cameco Corporation-Saskatoon
Saskatoon, SK
- Full-time
-Collaborate with BTS, Operations, Engineering, and external research partners to translate business opportunities and technical challenges into practical, data-driven solutions.
Added 14 hours ago
EL
Principal Security Engineer, Security Platform
Equinix LLC
Toronto, ON
- Full-time
- Hybrid
Help us challenge assumptions, uncover bias, and remove barriers - because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you - because when you…

Randstad Canada

Senior Machine Learning Engineer

Toronto, ON, Canada

Contract

Apply on randstad.ca About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Jan 2, 2027
Posting language: English
Posted: Nov 4, 2026

Original job description

We are seeking an experienced Senior Machine Learning Engineer to deploy, integrate, monitor, and operationalize enterprise AI and machine learning solutions using modern MLOps practices. In this role, you will establish reusable deployment patterns, automated pipelines, monitoring frameworks, and infrastructure to reliably transition models from experimentation into scalable production environments. Leveraging deep expertise in Python, machine learning algorithms, statistical modeling, containerization, and the Azure AI and Databricks ecosystems, you will design and implement robust ML systems, detect data drift, automate retraining, and ensure high model reliability and performance across the enterprise.

Location: Toronto, ON (Hybrid – 3 days a week onsite)

Duration: 6-month contract.

Advantages
Modern MLOps & AI Stack: Work directly with Azure AI Foundry, Azure ML, Databricks, and containerized deployment pipelines.

Production Engineering Impact: Drive the transition of models from exploratory experimentation to scalable, reliable production services.

Full-Lifecycle Ownership: Lead end-to-end delivery spanning data preprocessing, model training, automated deployment, and continuous monitoring.

Flexible Hybrid Model: Balance focused remote work with collaborative onsite teamwork in Toronto.

Responsibilities
Design, build, deploy, and operationalize production-grade machine learning and deep learning systems.

Establish and implement end-to-end MLOps frameworks, CI/CD automation pipelines, model registry standards, and containerized deployment workflows.

Build, train, evaluate, and fine-tune machine learning models using advanced statistical techniques, feature engineering, and hyperparameter optimization.

Analyze complex datasets to uncover relationships between inputs and outputs, verifying data quality and engineering robust preprocessing pipelines.

Implement model monitoring, observability, and logging systems to track model performance, latency, data drift, and concept drift in production.

Design and execute automated model retraining strategies and fallback mechanisms to resolve production anomalies and performance degradation.

Expose and consume machine learning models via secure, low-latency RESTful APIs and integrate them into enterprise business workflows.

Collaborate closely with data architects, data scientists, software developers, and business stakeholders to align ML capabilities with organizational objectives.

Explore and visualize data distributions to assess real-world generalization and define rigorous validation strategies.

Author comprehensive technical documentation, architecture blueprints, runbooks, and deployment guides to support long-term maintainability.

Qualifications
Advanced MLOps & Azure Ecosystem: Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry / Azure AI Foundry, MLOps practices, CI/CD pipelines, containerization, RESTful APIs, automation, model deployment, monitoring, and observability (Strictly Required).

Production ML Engineering & Python: Strong Python and machine learning engineering skills with demonstrated experience taking models from experimentation into reliable, scalable production environments (Strictly Required).

Technical Stack Proficiency: Hands-on experience working across the core technical ecosystem: Python, SQL, Power BI, Power Automate, VS Code, Git, Jira, Azure (ML Studio, AI Foundry), and Databricks (Strictly Required).

Algorithms, Statistics & Lifecycle Management: Deep understanding of ML algorithms and statistics, including classification, regression, clustering, feature engineering, model evaluation, hyperparameter tuning, data drift, retraining triggers, performance optimization, and production troubleshooting (Strictly Required).

Collaborative & Agile Delivery: Proven ability to manage competing priorities, meet tight deadlines, and work effectively with cross-functional technical squads and business teams (Strictly Required).

Nice-to-Have Assets:
Prior experience delivering machine learning or MLOps solutions within a public sector or large enterprise environment.

Relevant cloud or AI certifications (e.g., Azure Machine Learning Associate, Azure Data Scientist Associate).

Experience with automated testing of data and ML pipelines.

Summary
If you're interested in the "Senior Machine Learning Engineer" role based in Toronto, we encourage you to apply online at www.randstad.ca.

Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.

Apply on randstad.ca About employer

More about this job

Responsibilities

The Senior Machine Learning Engineer at Randstad Canada will move machine learning models from experiments into reliable production systems. The work covers building pipelines, monitoring model performance, and retraining models when their results degrade.

Requirements

Candidates need advanced hands-on experience with Azure Machine Learning, MLOps, CI/CD and containerized deployment, plus strong Python and production ML engineering skills. Deep knowledge of ML algorithms, statistics and data drift is also required.

Skills

Python
Azure Machine Learning
Azure AI Foundry
Azure ML Studio
Databricks
MLOps
CI/CD
Docker
RESTful APIs
SQL
Power BI
Power Automate
Git
Jira
VS Code
Model monitoring
Data drift detection
Concept drift detection
Feature engineering
Hyperparameter tuning
Classification
Regression
Clustering
Statistical modeling
Model registry

Keywords

Machine Learning Engineer
MLOps
Azure Machine Learning
Azure AI Foundry
Microsoft Foundry
Databricks
Python
SQL
Power BI
Power Automate
Git
Jira
VS Code
CI/CD
containerization
REST API
model monitoring
data drift
model deployment
deep learning

Seniority

Senior

Tools

Azure Machine Learning
Azure AI Foundry
Databricks
Power BI
Power Automate
VS Code
Git
Jira

Languages

English

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Work requirements

Jobs in Canada