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Added 8 mins ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 38 mins ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 1 hour ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This role requires strong expertise in cryptographic protocols, PKI, and secure API development. You will collaborate with development engineers, the cloud & deployment engineer, and…
Added 1 hour ago
M
Full Stack Engineer
mthree
Montreal, QC
- Full-time
Connaissance de SQL, Python ou C# : un atout.
Added 1 hour ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 6 hours ago
AM
Principal ASIC Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Proficiency with Verilog, SystemVerilog, and scripting languages such as Python, Perl, or Tcl for design automation and productivity improvements.
Added 7 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
Design and build multi-stage large language model pipelines and hybrid retrieval combining vector and lexical search, with section-aware chunking, re-ranking, citation-level source…
Added 8 hours ago
Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…
Added 8 hours ago
L
Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
- Full-time
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…
Added 10 hours ago
N
Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…through your responsibilities. The work setup at Nutanix AI is a hybrid model, offering a blend of in-office collaboration and remote work flexibility. As a new hire, you will be expected…
Added 11 hours ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 11 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 13 hours ago
C
Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior QA Automation Engineer to join our growing Quality Engineering team. This is a hands-on role for a quality engineering professional with strong…
Added 14 hours ago
R&
Site Reliability Specialist
Robertson & Company Ltd.
Toronto, ON
- Contract
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management,…
Added 15 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 16 hours ago
T
Infrastructure Engineer
taq
Markham, ON
- Full-time
Infrastructure Engineer responsible for filling a critical gap in managing and securing AWS-focused infrastructure with legacy VMware migration, emphasizing automation, patch management,…
Added 16 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- Full-time
Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.
Added 16 hours ago
ZT
Android Framework/Core OS Software Engineer, Senior
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
The Engineering Customer Response Team (ECRT) is seeking a Senior Software Engineer to provide world-class technical support to global enterprise customers for the Android Operating System,…
Added 17 hours ago
RB
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Added 18 hours ago
MP
Lead Data Engineer (ITA7)
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure…
Added 18 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 18 hours ago
D
Java Developer
Dexian
Mississauga, ON
- Other
We're looking for a senior, architect-level engineer who can sit alongside our front-office users, including underwriters, bankers, and business stakeholders, and turn their needs into…
Added 18 hours ago
H
Senior Quality Engineer
Hays
Toronto, ON
- $65 to $80 CAD / hour
- Contract
Equitable Bank is seeking a Senior Quality Engineer to support the delivery of enterprise data platforms and cloud-based solutions. This role is focused on quality engineering, test…
Added 19 hours ago
E
Ingénieur en développement logiciel de tests (SDET)
EXFO
Montreal, QC
- Full-time
· Solides compétences en programmation ou en script avec Java, JavaScript/TypeScript, Python, Go ou des langages comparables.
Added 19 hours ago
OS
Senior Forward Deployed Engineer (FDE)
Open Systems Technologies
Toronto, ON
- Contract
We are seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python technology expertise to work directly with our Fintech clients in the Spread Products space. This is a…

Bell

Dev. Machine Learning Engineering II

Toronto, ON, Canada

Hybrid

Full-time

Apply About employer

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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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