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Added 1 min ago
PC
Senior Business Systems Engineer - 1751 - 175325 - 175490
Piper Companies
ON · Durham, ON
- Full-time
Piper Companies is seeking a Senior Business Systems Engineer to join an innovative organization in the biotechnology and agriculture industry who can work in a hybrid setting in Durham,…
Added 1 min ago
DevOps Engineer
Varonis
Canada
…critical data, removes exposures, and detects advanced threats with AI-powered…
Added 1 hour ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
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…
Added 1 hour ago
L
Security Engineer
LiveKit
Canada
- Full-time
Strong scripting and automation skills in a language such as Go or Python, and fluency with infrastructure as code such as Terraform.
Added 1 hour ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
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…
Added 1 hour ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Software Developer Engineer in Test, SDET, AI Test Engineer, Quality Assurance Engineer, Test Automation, Machine Learning QA, Python, LLM Testing, Model Context Protocol, Construction…
Added 2 hours ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
As a Staff Cloud Security Engineer, you'll help shape the technical direction of Cloud Security and drive complex architectural investments across our AWS and GCP environments. You'll work…
Added 2 hours ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 2 hours ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 2 hours ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
As an Intermediate QA Engineer, you will own the end-to-end Software Testing Life Cycle across our whole product: web applications, mobile apps, backend services, and the camera hardware…
Added 3 hours ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Experience with Delta Lake, Spark, SQL, Python, notebooks, jobs, workflows, and data engineering pipelines.
Added 3 hours ago
AI
JAMS Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 3 hours ago
SI
Software Engineer in Test
Spruce InfoTech Inc.
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
QA Automation Lead Engineer (SDET – Python) role focused on building and maintaining scalable automation frameworks with strong Python and Pytest framework.
Added 3 hours ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC
- Full-time
Software Developer Engineer in Test, SDET, AI Test Engineer, Quality Assurance Engineer, Test Automation, Machine Learning QA, Python, LLM Testing, Model Context Protocol, Construction…
Added 3 hours ago
ES
Platform Engineer - AI/ML Infrastructure
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 3 hours ago
ES
Cloud Engineer
Euna Solutions
ON · Oakville, Ontario
- Full-time
…SaaS products used by public sector organizations. As a Cloud Engineer, you will own cloud infrastructure design, provisioning, automation, and compliance across multiple product lines,…
Added 3 hours ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
Added 4 hours ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics…
Added 4 hours ago
IR
Senior Analog IC Design Engineer - Canada
IC Resources
Ottawa, ON
- $120,000 to $200,000 CAD / year
- Full-time
This is a new opportunity for a Senior Analog IC Design Engineer with SerDes experience to join a brand-new team based in Ottawa, Canada, part of one of Europe’s fastest-growing…
Added 4 hours ago
QW
SRE/ Platform Engineer
Quantum World Technologies Inc.
ON · Ontario, Canada
- Contract
Engineer and administer JAMS Scheduler| including Scheduler| Agents| Executors| queues| resources and job configuration. Improve platform reliability| performance| capacity| resilience and…
Added 4 hours ago
SP
Professor, Part-Time
Seneca Polytechnic
Toronto, ON · North York, ON
- Part-time
Professional Engineer (P.Eng.) designation is considered a strong asset, particularly for candidates with experience applying AI in engineering or technology environments.
Added 4 hours ago
GS
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm’s technology principles and drives efficiency and consistency, controls…
Added 4 hours ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics…
Added 4 hours ago
N
Staff Optical Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
As a Staff Optical Design Verification Test (ODVT) Engineer, you will lead the comprehensive testing, validation, and performance characterization of the next generation of coherent…
Added 5 hours ago
TR
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…

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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