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Added 10 mins ago
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Electronics Regulatory Compliance Engineer
NPAworldwide
Mississauga, ON
- Full-time
Work with production managers and senior technicians to develop and maintain efficient SOPs.
Added 10 mins ago
Senior Security Engineer, Threat Response
Asana
Vancouver, BC
We are looking for a savvy Security Engineer to join our Blue Team. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT,…
Added 25 mins ago
AI
Senior React Native Developer
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 55 mins ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
…attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive…
Added 1 hour 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 hour ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 1 hour ago
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Candidat à la profession d'ingénieur systèmes auxiliaires – Hydro Amérique du Nord / Auxiliary Systems EIT Engineer – Hydro North America
GE Vernova
Brossard, QC
- Full-time
The Auxiliary Systems EIT Engineer will be responsible for the integrated design, coordination, and technical support of both electrical and mechanical auxiliary systems associated with…
Added 1 hour ago
M(
[C] Salesforce Engineer / Developer
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
- Part-time
MLSE is looking for a Senior Salesforce Loyalty Cloud Administrator/Developer to support the administration, configuration, development, integration, and ongoing optimization of our…
Added 1 hour 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 hour ago
IT
Production Engineer_Industrial Robots
Invest Talent JSC
Canada
- Full-time
We are looking for a Production Engineer to transform engineering designs into reliable, scalable manufacturing processes. You will work closely with Design Engineering, Quality, and…
Added 1 hour ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 2 hours ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
…grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers…
Added 2 hours ago
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Senior Firmware & FPGA Engineer, SST Control
Verdyn
Oakville, ON
- $110,000 to $160,000 CAD / year
- Full-time
…and testing, system integration, commissioning, and long-term support. Our work spans utility, industrial, manufacturing, oil and gas, data centres, energy storage, and EV charging…
Added 2 hours ago
U
Senior Software Engineer, Applied AI & Customer Solutions
Udemy
Toronto, ON
- Full-time
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit…
Added 2 hours ago
S
AI Workflow & Operations Intern
Semtech
Richmond, BC · CAN - Richmond, BC
- Full-time
…global sales organization. This 8-month co-op is a hands-on, production-oriented role embedded within Sales Operations. You will work directly with the Senior Director of Global Sales…
Added 3 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- Full-time
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 4 hours ago
C
AKS/ ARO DevOps Engineer
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
Support upgrade, patch, application release, cutover, and recovery automation.
Added 4 hours ago
F
Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
The Senior Software Engineer is a hands-on technical contributor embedded in our agile development organization, helping build and deliver our next-gen compliance platform. You bring the…
Added 4 hours ago
IC
Quality Assurance Supervisor
IMT CORPORATION
Port Colborne, ON
- $65,000 to $85,000 CAD / year
- Full-time
…provides leadership to quality personnel and works closely with production, engineering, maintenance, purchasing, and management to ensure that customer requirements and internal quality…
Added 5 hours ago
AS
Electrical Consultant
Aker Solutions
St. John's, NL
- Full-time
Support the maturation of project definition through early vendor engagement, power system studies, and input to cost estimates and execution strategies, contributing to improved cost…
Added 5 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 5 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 5 hours ago
M
Senior Full Stack Java Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 5 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 5 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

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Job details

Workplace: Hybrid
Apply by: Oct 22, 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

The role involves developing, deploying, and maintaining machine learning models and pipelines within a production cloud environment. You will also design infrastructure-as-code and collaborate with product teams to improve model performance and reliability.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 3 years of experience in machine learning engineering. Proficiency in Python, SQL, cloud platforms, and containerization technologies is required, along with a relevant cloud certification.

Skills

Machine learning
Python
SQL
Cloud computing
CI/CD
DevOps
Docker
Kubernetes
Big data processing
Infrastructure-as-code
Kafka
Apache
Hadoop
Software engineering
Data science
Problem-solving

Benefits

Medical benefits
Dental benefits
Vision benefits
Mental health benefits
35% discount on services
Exclusive partner offers

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Cloud Infrastructure
AWS
Azure
GCP
Python
SQL
Docker
Kubernetes
CI/CD
DevOps
Infrastructure-as-code
Big Data
Hadoop
Kafka
Apache
Airflow
Argo
Prometheus
Grafana
SDLC
MLLC
Git
Data Science
Software Engineering
Algorithms
Production Environment
Scalability
Reliability

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