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Added 43 mins ago
D
Senior DevOps Engineer - Healix
Deloitte
Toronto, ON
- Full-time
…regulated or high-stakes environments. Stay current on vendor and open-source options; pilot, measure, and roll out what actually reduces…
Added 1 hour ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
Utilize programming languages like JavaScript, React, HTML/CSS, Angular/TypeScript, Python, Java and/or Go, Open Source RDBMS and NoSQL databases, and a variety of AWS tools and services
Added 3 hours ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are looking for a DevOps Engineer Student who is interested in learning how modern technology platforms are built, delivered, and supported within a large enterprise environment.
Added 4 hours ago
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ML Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
Open-source contributions or released code and datasets associated with your research.
Added 5 hours ago
T
Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
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 5 hours ago
A
Middleware Specialist
Apptad
Montreal, QC
- Contract
Exposure and experience in open-source Observability tools (e.g., Grafana, Prometheus, OpenTelemetry and Loki)
Added 18 hours ago
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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 18 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 20 hours ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
Proactively identify and resolve performance bottlenecks and other issues in ML pipelines and applications.
Added 20 hours ago
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Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
Proactively identify and resolve performance bottlenecks and other issues in ML pipelines and applications.
Added 23 hours ago
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JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
The CoCounsel Agent Context team is seeking a Staff Software Engineer to set the technical direction for Content Tools - the purpose-built APIs that give AI agents precise, governed access…
Added 1 day ago
T
Software Engineer II (Java/Spring)
TD
Toronto, ON
- Full-time
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 1 day ago
QA Automation Engineer – SmartBear & Playwright
Capco
Toronto, ON
Capco is looking for a QA Automation Engineer with hands-on experience in SmartBear TestComplete and Playwright to support a major application modernization initiative.
Added 1 day ago
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Lead Data Engineer
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
…ensuring MPAC technology is consistently available, scalable, performance-based and secure. We’re a group of forward-thinking and talented professionals who stay ahead of the game by using…
Added 1 day ago
T
Software Engineer II (Java/Spring)
TD
Toronto, ON
- Full-time
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 1 day ago
TS
Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
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 1 day ago
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Spécialiste en intégration de systèmes, IA souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
Le Lab d'IA souveraine est une nouvelle initiative de Mila visant à assembler une pile (un stack) d'inférence IA open source prête pour l'entreprise, que les organisations peuvent déployer…
Added 1 day ago
AI Engineer
Capco
Toronto, ON
As an AI Engineer, you’ll work directly with our clients to understand business problems and turn them into working AI solutions. Combining hands-on engineering with a consulting mindset,…
Added 1 day ago
Sr Software Dev Engineer III, RDS for Oracle
Amazon
Vancouver, BC
- Experience with open source tools and resources
Added 1 day ago
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Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
We’re all-in on the cloud and we’re leaders in the adoption of open source, RESTful APIs, microservices, and containers. We build our own products and release them with a speed and agility…
Added 1 day ago
BS
ML/AI Engineer
Brock Software
Engineer, BC
- Full-time
We're seeking an experienced engineer to fine-tune open source models, train them on custom datasets, and deploy them to production using GPU infrastructure on platforms like fly.io.
Added 1 day ago
AN
BIOS Senior/Lead Software Engineer
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Vancouver, BC
- Full-time
…as well as keeping pace with the latest developments in the open source and proprietary BIOS development…
Added 1 day ago
Director, Water and Wastewater Infrastructure Management
Region of Waterloo
Kitchener, ON
Directs the creation of operational and performance reporting policies, systems, and procedures, and compliance, particularly in source water protection and the Clean Water Act. Develops…
Added 1 day ago
T
Quality Engineer II (VMS)
TD
Toronto, ON
- Full-time
Effectively engineer and leverage tools and Engineering practices (DevOps tools and processes, source code management, Service Virtualization, monitoring tools, etc.)
Added 1 day ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…

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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