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Added 1 hour ago
KI
Lead AI Security Engineer Hybrid Job
KPG99 INC
Montreal, QC
- Contract
Must Have: Relevant AI security, enterprise security, cloud, container, network, and SOC experience.
Added 1 hour ago
Senior Visualization Professional
Capgemini
Mississauga, ON
- Monitor platform usage, refresh schedules, gateway health, and capacity utilization.
Added 1 hour 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 2 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 2 hours ago
PC
Senior Business Systems Engineer - 1751 - 175325 - 175490
Piper Companies
ON · Durham, ON
- Full-time
Keywords: Senior Business Systems Engineer, Business Systems Analyst, ERP Engineer, ERP Administrator, NetSuite, Oracle ERP, SAP, Microsoft Dynamics, Workday, Enterprise Applications,…
Added 2 hours ago
DevOps Engineer
Varonis
Canada
…different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects…
Added 2 hours ago
A
Linux Development Engineer - eLxr Distribution
Aptiv
Ottawa, ON
- Full-time
Wind River is seeking a Linux Development Engineer to join the eLxr team and contribute to the development and evolution of our Debian-based Linux distribution. In this hands-on engineering…
Added 2 hours ago
A
Linux Development Engineer - eLxr Distribution
Aptiv
Ottawa, ON
- Full-time
Wind River is seeking a Linux Development Engineer to join the eLxr team and contribute to the development and evolution of our Debian-based Linux distribution. In this hands-on engineering…
Added 3 hours ago
GT
iOS Developer
GSPANN Technologies, Inc
Vancouver, BC
- Contract
Integrate third-party libraries, APIs, and cloud-based services
Added 3 hours 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 3 hours ago
L
Security Engineer
LiveKit
Canada
- Full-time
For infrastructure security: hands-on experience securing a major cloud provider (AWS, GCP or Azure) and containerized workloads including Kubernetes, a track record of owning…
Added 3 hours ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Added 3 hours ago
AW
Software Development Engineer II, AWS Identity - IAM Identity Center
Amazon Web Services (AWS)
Toronto, ON
- Full-time
AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging…
Added 4 hours ago
A
Information Technology - Lead Analytics Engineer, Distribution Technology
Aritzia
Delta, BC
- Full-time
…This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Lead Analytics Engineer, you…
Added 4 hours ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Senior Analytics Engineer /…
Added 4 hours ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Our Security Engineering team protects Scribd's applications and cloud infrastructure. We take a proactive, shift-left approach, integrating security throughout the software development…
Added 4 hours ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer…
Added 4 hours ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, OpenShift).
Added 4 hours ago
AE
D365 Functional Analyst - Human Resources
Associated Engineering
Calgary, AB
- Full-time
…reliable HR operations and maximize business value from the…
Added 4 hours ago
A
Information Technology - Senior Analytics Engineer/Analytics Engineer, Marketing & Transformation Technology
Aritzia
Vancouver, BC
- Full-time
…This is a unique opportunity to transform raw data in a modern platform and create models that empower self-serve analysis, reporting, and data science. As the Senior Analytics Engineer /…
Added 5 hours ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
…foundation, with a strong focus on Unity Catalog, data governance, platform security, workspace architecture, storage integration, identity and access management, and production-ready data…
Added 5 hours ago
HW & SW Applications Admin 1
Celestica International LP
Toronto, ON
…core engineering applications environment for the Hardware Platform Solutions (HPS) group. The System Administrator is responsible for the direct operational and technical execution of the…
Added 5 hours ago
AI
JAMS Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 5 hours ago
A
Cyber Security Engineer
Altis
Vancouver, BC · Greater Vancouver, BC
- $90,000 to $120,000 CAD / year
- Full-time
…wearing multiple hats are valued. Experience with AI security, cloud posture management, or the broader Rapid7 platform is considered an…
Added 5 hours ago
TC
AI Security Engineer
TechNeptune Consulting Inc.
Montreal, QC
- Contract
Relevant AI security, enterprise security, cloud, container, network, and SOC experience.

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

Full-time

Apply About employer

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Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Nov 5, 2026
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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