Jobs in Canada

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Added 1 month ago
C
Senior Data Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 1 month ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 1 month ago
D
Java Software Engineer
Dexian
Mississauga, ON
- $65 to $70 CAD / hour
- Contract
Experience with message-driven/event-driven architectures, including Kafka and EMS.
Added 1 month 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 1 month ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 1 month ago
BS
Technical Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
Work Style: Hybrid (3 days in office)
Added 1 month ago
Lead Data Engineer
ZS
Toronto, ON
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data integration tools.
Added 1 month ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 1 month ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 1 month ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
Platform & Site Reliability Engineer (Dev Ops/ AWS / SRE / Cloud)
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
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
MG
Java Engineer
Matrix Global
Toronto, ON
- Full-time
We are seeking a talented and motivated Java Engineer with strong experience in the Microsoft Azure ecosystem to join our growing engineering team. In this role, you will be responsible for…
Added 1 month ago
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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
MR
Senior Platform Engineer/ High Growth
Motion Recruitment
Toronto, ON
- $190,000 to $220,000 CAD / year
- Full-time
This role follows a hybrid model with 3 days per week onsite in Downtown Toronto
Added 1 month ago
Z
Lead Data Engineer
ZS
Toronto, ON
- Full-time
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data integration tools.
Added 1 month ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 1 month ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for an experienced Hands-on Sr. Platform Engineer that will work on innovative and transformational initiatives at TD Securities -- the implementation of the next generation…
Added 1 month ago
B
Senior Software Engineer - Trading Technology
BettingJobs
Toronto, ON
- Full-time
BettingJobs is working with a fast-growing sports betting technology business to recruit a Senior Software Engineer for its Trading Technology team. You'll build the backend engines behind…
Added 1 month ago
B
Senior Software Engineer
BettingJobs
Toronto, ON
- Full-time
BettingJobs is hiring a Senior Software Engineer a global leader in online gaming, to join a new backend engineering team in Toronto.
Added 1 month ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
We are seeking a highly skilled and passionate Senior Java Backend Developer to join our engineering team as a Senior Individual Contributor. In this role, you will be responsible for…
Added 1 month ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 1 month ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Work Model: Hybrid (3 days per week in-office)
Added 1 month ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications – Python
Added 1 month ago
J
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…

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