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Added 9 mins ago
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Supervisor Production Coaldale
''
Coaldale, AB
- Full-time
Proven ability to champion and coach the use of digital systems and our plant control software. PlantPax/FTView, SAP, MDI, OSIPI and related software, Dimensions, ProductVision, and others.
Added 24 mins ago
X
Staff Control Systems Architect - Photonic Quantum Computing
Xanadu
Toronto, ON
- Full-time
software layers that drive them. We are looking for a Staff Control Systems Architect to own that
Added 24 mins ago
JE
Welder - Mississauga (2026-9609)
Johnston Equipment
Mississauga, ON
- Full-time
We are a solutions-driven, customer-focused provider of material handling, storage, and automated systems solutions and we take pride in knowing that your actions boost our customers’…
Added 24 mins ago
WI
Senior Mechanical Engineer (Plant Design)
WSP in Canada
Mississauga, ON
- Full-time
Lead mechanical engineering for industrial and mining plant facilities, including material handling systems, pumping systems, piping networks, and equipment layouts.
Added 24 mins ago
BC
Electrical and Control Technical Specialist
BBA Consultants
Thunder Bay, ON
- Full-time
…a technical leader, combining hands-on field execution with engineering design, commissioning, client interaction and mentorship of junior and intermediate staff. You’ll also contribute to…
Added 53 mins ago
WI
Civil Engineer-in-Training
WSP in Canada
Kamloops, BC
- Full-time
Help shape the communities where people live, work, and thrive. As a Civil Engineering-in-Training, you will contribute to the planning, design, and delivery of municipal infrastructure…
Added 53 mins ago
A
Senior Vendor Technology Program Manager
AMD
Markham, ON
- $174,400 to $261,600 USD / year
- Full-time
AMD's Data Center Platform Engineering Group (DPEG) - Vendor Technology Enablement Team is designing, developing, and delivering innovative technology infrastructure enabling the digital…
Added 53 mins ago
WI
Project Manager
WSP in Canada
Medicine Hat, AB
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 53 mins ago
PE
Mechanical Design Technician
Peerless Electric
Cornwall, ON
- Full-time
· Modify and validate Engineering BOMs in PDM systems
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Sales & Customer Service Support
DMC Recruitment Group
Toronto, ON
- Full-time
…inquiries with confidence and professionalism, using company systems efficiently to prepare accurate quotes, confirm ETAs, and process payments without unnecessary delay. It calls for…
Added 53 mins ago
BI
Document Controller
Brymark Installations
North Vancouver, BC
- $70,000 to $75,000 CAD / year
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Added 53 mins ago
VP
Project Control Specialist
Vancouver Pile Driving
North Vancouver, BC
- $90,000 to $110,000 USD / year
- Full-time
…lifecycle by establishing and maintaining effective project control systems, developing accurate reporting, monitoring project performance, and providing valuable forecasting and analytical…
Added 53 mins ago
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Développeur(se) C# / C++ – Expert(e) systèmes temps réel
CGI
Montreal, QC
- Full-time
Are you an experienced C++ / C# developer who thrives on solving complex challenges involving real-time systems, low latency, multithreading, parallel computing and distributed…
Added 53 mins ago
AI
C++ Developer & Tester
Aversan Inc.
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
Aversan Inc. () is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to…
Added 53 mins ago
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C++ Software Developer
Aversan Inc.
Montreal, QC
- $100,000 to $130,000 CAD / year
- Full-time
Aversan Inc. () is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to…
Added 54 mins ago
Advisor, Environmental Coordination and Planning
VIA HFR - VIA TGF Inc
Montreal, QC · Toronto, ON · Quebec, QC
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Added 54 mins ago
HP
Cloud Developer / Développeur Infonuagique
Hewlett Packard Enterprise
Montreal, QC · St. Laurent, Quebec, Canada
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- Full-time
Cloud Developer / Développeur InfonuagiqueThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Added 1 hour ago
S
Structural Engineer, Building
Stantec
Quebec, QC
- Full-time
Looking to contribute to exciting building projects as part of a recognized structural engineering team? Join our group of more than 75 professionals and put your expertise to work on a…
Added 1 hour ago
DC
Technical Specialist, Project Management
Defence Construction Canada
Cold Lake, AB
- Full-time
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Added 1 hour ago
MF
Supervisor Production Coaldale
McCain Foods
Coaldale, AB
- Full-time
Proven ability to champion and coach the use of digital systems and our plant control software. PlantPax/FTView, SAP, MDI, OSIPI and related software, Dimensions, ProductVision, and others.
Added 1 hour ago
A
Embedded Software Manager
Actalent
Burnaby, BC
- $131,115 to $187,310 CAD / year
- Full-time
This role leads a high-performing embedded software team developing systems software and applications for advanced medical imaging and airway management devices. You will own the full…
Added 1 hour ago
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Embedded Software Developer
Actalent
Ottawa, ON
- $55 to $70 CAD / hour
- Contract
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Added 1 hour ago
DC
Coordinator, Facility Management
Defence Construction Canada
Cold Lake, AB
- Full-time
…prepare or verify maintenance management plans, conduct building systems inventories, and review computerized maintenance management system data and…
Added 1 hour ago
DC
Technical Specialist, Real Property Management
Defence Construction Canada
Cold Lake, AB
- Full-time
…administration) and/or energy programs to ensure buildings and systems remain operational and energy efficient (e.g. identify maintenance and repair requirements, determine damage…
Added 1 hour ago
DC
Coordinator, Project Management
Defence Construction Canada
Cold Lake, AB
- Full-time
Minimum: college diploma in engineering, architecture or related field with approximately two years’ relevant experience, or the equivalent

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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