Jobs in Canada

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Added 1 month ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
Adastra is looking for an Associate DevOps Engineer to join our AWS Practice and support cloud modernization, data platform, and migration initiatives. The role will focus on building and…
Added 1 month ago
Q
AI Agent Engineer
Qlik
Canada
- $92,700 to $116,000 CAD / year
- Full-time
…teams get more out of AI with trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk and operating costs, while scaling AI…
Added 1 month ago
H
Full Stack Engineer, Client Performance and Management Information (CPMI)
HSBC
Toronto, ON
- Full-time
Join the Client Performance and Management Information (CPMI) technology team in Toronto as a Software Engineer focused on full stack development across JavaScript, Node.js, and modern…
Added 1 month ago
JM
Division Process Engineer
Johns Manville
Innisfail, AB
- Full-time
Hybrid work from home up to 2 days per week, depending on activity
Added 1 month ago
DevOps Engineer
Varonis
Canada
The Role: We are seeking an experienced and driven DevOps Engineer to join our join an engineering team whose mission is to make AI secure for the enterprise. We have a cutting‑edge product…
Added 1 month ago
IG
Business Intelligence Engineer
Insight Global
Toronto, ON
- $40 to $46 CAD / hour
- Contract
Insight Global is looking for a BI Engineer to join a leading bank in Toronto to join a top bank in Toronto on a contract basis. The purpose of this position is to design, develop, and…
Added 1 month ago
NI
Quality Engineer
Norsat International
Richmond, BC
- $40,000 to $50,000 CAD / year
- Volunteer
Applicants must hold either a Canadian citizenship, Canadian Permanent Residency, or Work/ Study Permit
Added 1 month ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
TT
Sales Development Representative
trane technologies
Montreal, QC
- Full-time
…Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're…
Added 1 month ago
MG
Principal Engineer / Architect
Matrix Global
Toronto, ON
- Full-time
We are seeking a highly skilled and hands-on Principal Engineer / Architect to lead the architecture, design, and delivery of next-generation cloud-native data and application platforms.…
Added 1 month ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
AW
Software Development Engineer II, AWS Identity - IAM Identity Center
Amazon Web Services (AWS)
Toronto, ON
- Full-time
…machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features…
Added 1 month ago
TI
Sr. Analytics Developer
TTI, Inc.
Toronto, ON
- Full-time
The Sr. Analytics Developer is responsible for leading the design, development, and optimization of analytics solutions and data models that empower decision-making across TTI Canada.
Added 1 month ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Location: Kamloos, Canada (Onsite - Four Days Per Week)
Added 1 month ago
A
Information Technology - Lead Analytics Engineer, Distribution Technology
Aritzia
Delta, BC
- Full-time
…self-serve analysis, reporting, and data science. As the Lead Analytics Engineer, you will support and enable the business, apply data modeling expertise, and become the data domain go-to…
Added 1 month ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…self-serve analysis, reporting, and data science. As the Senior Analytics Engineer / Analytics Engineer, you will support and enable the business, apply data modeling expertise, and become…
Added 1 month ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 1 month ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Added 1 month ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…self-serve analysis, reporting, and data science. As the Senior Analytics Engineer / Analytics Engineer, you will support and enable the business, apply data modeling expertise, and become…
Added 1 month ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
As an Intermediate QA Engineer, you will own the end-to-end Software Testing Life Cycle across our whole product: web applications, mobile apps, backend services, and the camera hardware…
Added 1 month ago
IG
Business Intelligence Engineer
Insight Global
Toronto, ON
- $46 to $50 CAD / hour
- Contract
Insight Global is looking for a BI Engineer to join a leading bank in Toronto to join a top bank in Toronto on a contract basis. The purpose of this position is to design, develop, and…
Added 1 month ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
…establish an enterprise-grade Databricks environment that supports analytics, machine learning, data products, and governed self-service…
Added 1 month ago
SO
Sr. Software Engineer
Spirit Omega Inc.
Remote, Canada
- $77 to $85 CAD / hour
- Contract
- Remote
Added 1 month ago
RB
Lead Quality Engineer - Data
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Data Quality Engineer is responsible for creating and executing comprehensive data testing strategies and solutions, with focus on data validation, integrity testing, and quality…
Added 1 month ago
P&
Architecte de données / Data Architect
Pratt & Whitney
Longueuil, QC
- Full-time

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Work location: For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Experience: 3+ years of experience in a machine learning engineering or related role.
Posting language: English
Posted: Oct 6, 2026

Original job description

Req Id: 433020

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and machine learning technologies, you'll help us deliver better experiences and service innovations to Canadians.

Plus, through our partnerships, you'll have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.

Summary

We are seeking a highly skilled and experienced Machine Learning Engineering Developer II to join our team. This role requires a strong understanding of machine learning principles, software engineering best practices, and cloud infrastructure. The ideal candidate will be responsible for the development, deployment, and maintenance of ML models and pipelines in a production environment.

Key Responsibilities

Develop, deploy, and maintain machine learning models in production on cloud platforms (specify preferred platforms, e.g., AWS, Azure, GCP).
Design, implement, and maintain infrastructure-as-code (IaC) for ML applications, ensuring scalability, reliability, and maintainability.
Develop, enhance, and maintain CI/CD pipelines for ML model development and deployment.
Build, automate, and maintain machine learning dependencies and artifact pipelines, ensuring efficient and reproducible workflows.
Collaborate closely with product teams to accelerate development cycles, improve product robustness, and address production issues.
Proactively identify and resolve performance bottlenecks and other issues in ML pipelines and applications.
Contribute to the development and improvement of ML engineering best practices and standards.
Mentor and guide junior engineers.
Proactive Problem-Solving: Identifies critical needs and takes decisive action to address them effectively and efficiently.
Innovation and Continuous Improvement: Actively seeks and implements new ideas and innovative solutions, proactively exploring new areas and opportunities for growth.
Customer-Centric Approach: Demonstrates a deep understanding of customer needs, anticipating and exceeding expectations to drive customer satisfaction.
Analytical and Solution-Oriented: Masterfully applies systematic problem-solving methodologies to complex challenges, consistently delivering effective solutions.
Learning Agility and Continuous Development: Proactively investigates mistakes, fosters a culture of learning from experience, and actively seeks opportunities to expand skills and responsibilities.
Mentorship and Collaboration: Mentors and guides junior team members, fostering a collaborative environment of knowledge sharing and mutual support.

Critical Qualifications

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Relevant experience may be considered in lieu of a degree.
3+ years of experience in a machine learning engineering or related role.
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Proficiency in SQL.
Understanding of big data processing and parallel processing techniques like Hadoop, Kafka, Apache etc.
Experience with containerization technologies (e.g., Docker, Kubernetes).
Strong knowledge of cloud computing concepts and services.
Experience with CI/CD and DevOps practices.
Proficiency in software development lifecycle (SDLC) and machine learning lifecycle (MLLC) methodologies.
Strong programming skills in Python or a similar language.
Experience with version control systems (e.g., Git).
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a team.

Preferred Qualifications

Experience with specific cloud platforms (AWS, Azure, GCP)
Experience with specific orchestration tools (e.g., Airflow, Argo).
Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
Contributions to open-source projects.

Adequate knowledge of French is required for positions in Quebec.

Additional Information

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Ontario : Toronto

Work Arrangement: Hybrid

Application Deadline: 10/21/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.

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More about this job

Responsibilities

Develop, deploy, and maintain production machine learning models, pipelines, cloud infrastructure, and CI/CD workflows. Collaborate with product teams to improve reliability and performance, resolve production issues, establish engineering practices, and mentor junior engineers.

Requirements

Requires a bachelor's degree in a relevant field or equivalent experience, at least 3 years in machine learning engineering or a related role, and strong programming skills in Python or a similar language. Candidates should have cloud and CI/CD experience, SQL proficiency, knowledge of containers and big data processing, and a relevant cloud certification; French proficiency is required for positions in Quebec.

Skills

Machine Learning Engineering
Python
SQL
Cloud Computing
Infrastructure As Code
CI/CD
DevOps
Docker
Kubernetes
Big Data Processing
Parallel Processing
Git
Machine Learning Lifecycle
Problem-Solving
Mentorship

Benefits

Medical Benefits
Dental Benefits
Vision Benefits
Mental Health Benefits
Discount On Bell Services
Partner Offers

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Machine Learning Engineering
Python
SQL
Cloud Computing
AWS
Azure
Google Cloud Platform
Infrastructure As Code
CI/CD
DevOps
Docker
Kubernetes
Hadoop
Kafka
Apache
Airflow
Argo
Prometheus
Grafana
Git
Big Data Processing
Parallel Processing
Machine Learning Lifecycle
Cloud Certification
Model Deployment
Production Pipelines
Monitoring And Logging
Telecommunications

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Work requirements

Jobs in Canada