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Added 2 hours ago
ET
Senior Data Architect
Encore Technical Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Azure certifications (such as DP-203, DP-600 or AZ-305) are an asset, and experience with AWS or GCP is a plus
Added 2 hours ago
O
DevOps IA
Onepoint
Montreal, QC
- Full-time
Maîtrise des plateformes infonuagiques (AWS, Azure, GCP) et des services d’IA associés;
Added 2 hours ago
O
Spécialiste DevOps
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 2 hours ago
W
DevOps IA
Wepoint
Montreal, QC
- Full-time
Maîtrise des plateformes infonuagiques (AWS, Azure, GCP) et des services d’IA associés;
Added 2 hours ago
W
Spécialiste DevOps
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 3 hours ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Manage cloud environments across AWS / Azure / GCP.
Added 11 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- Full-time
5+ years of progressive experience in cloud infrastructure and DevSecOps, with hands-on depth on Google Cloud Platform (GCP) as primary cloud; hands-on experience with AWS, GCP & Azure is a…
Added 12 hours ago
K
Associate Director - Cloud Technology Advisor
Kyndryl
Calgary, AB · BC
- Full-time
Professional-level certification in at least one hyperscaler platform: AWS Certified Solutions Architect Professional, or Microsoft Azure Solutions Architect Expert, or Google Professional…
Added 14 hours ago
K
Cloud Consultant
Kyndryl
Toronto, ON · Ottawa, ON · Montreal, QC · Calgary, AB
- Full-time
We are seeking a Cloud Consultant with a strong Enterprise Architect mindset to lead and deliver cloud modernization and transformation initiatives for large, complex enterprise…
Added 18 hours ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
Develop, deploy, and maintain machine learning models in production on cloud platforms (specify preferred platforms, e.g., AWS, Azure, GCP).
Added 18 hours ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
Develop, deploy, and maintain machine learning models in production on cloud platforms (specify preferred platforms, e.g., AWS, Azure, GCP).
Added 21 hours ago
Solution Architect- .NET (microservices)
Charger Logistics Inc
Brampton, ON
Experience designing on at least one cloud platform (AWS, Azure or GCP).
Added 21 hours ago
T
Microsoft Fabric & Airflow Resource
TechDoQuest
Brampton, ON
- Contract
Solid understanding of cloud storage solutions: ADLS Gen2, AWS S3, and GCP Cloud Storage.
Added 21 hours ago
CL
Solution Architect- .NET (microservices)
Charger Logistics Inc.
Brampton, ON
- Full-time
Experience designing on at least one cloud platform (AWS, Azure or GCP).
Added 1 day ago
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Microsoft Fabric & Airflow Engineer
Yochana
Brampton, ON
- Contract
Solid understanding of cloud storage solutions: ADLS Gen2, AWS S3, and GCP Cloud Storage.
Added 1 day ago
JH
Senior Architect - Cybersecurity
John Hancock
Toronto, ON
- Full-time
Familiarity with Cloud (SaaS, IaaS, PaaS) environments and best practices for securing these environments with experience in Azure, AWS or GCP.
Added 1 day ago
M
Senior Architect - Cybersecurity
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Familiarity with Cloud (SaaS, IaaS, PaaS) environments and best practices for securing these environments with experience in Azure, AWS or GCP.
Added 1 day ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
Design, develop, test, and deploy security solutions across cloud (AWS/Azure/GCP) and applications (SDLC integrations, AppSec pipelines)
Added 1 day ago
LI
VP of Engineering
Lasso Informatics
Montreal, QC
- Full-time
Added 1 day ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Proven experience with public cloud platforms (AWS, Azure, or GCP) and/or hybrid or edge infrastructure
Added 1 day ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
Design, develop, test, and deploy security solutions across cloud (AWS/Azure/GCP) and applications (SDLC integrations, AppSec pipelines)
Added 1 day ago
MC
Principal Banking Cloud Architect | Client Partner | Technology Consulting (35568)
Myticas Consulting
Toronto, ON
- Full-time
Provide architecture leadership across Azure, AWS, Google Cloud Platform (GCP), and hybrid/multi-cloud environments.
Added 1 day ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Experience with Snowflake, AWS or Google Cloud Platform (GCP).
Added 1 day ago
ST
Security Architect
Soroc Technology
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Cloud Security Expertise: Proven experience managing security across Azure AWS and GCP environments including implementing zero-trust architectures, advanced analytics with Microsoft…
Added 1 day ago
L
Artificial Intelligence Engineer
Levio
Canada
- Full-time
Working depth in one or more of LangGraph or comparable agent frameworks, MCP, and AWS Bedrock / Azure OpenAI / GCP - real depth in one beats a shallow tour of all three.

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

Full-time

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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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