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Added 36 mins ago
M
Senior Full Stack Java Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
Collaborate with client stakeholders, Product, Architecture, QA, DevOps, Security, Operations, and vendors to govern delivery and resolve critical technical issues.
Added 51 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 51 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Kelowna, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 1 hour ago
H
Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
Calgary, AB
- Full-time
We are looking for a hands-on Senior Cloud-Native Full Stack Engineer to design, build, and support secure, scalable applications on Microsoft Azure. This role combines modern full-stack…
Added 1 hour ago
M
Senior Full Stack Java Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
Collaborate with client stakeholders, Product, Architecture, QA, DevOps, Security, Operations, and vendors to govern delivery and resolve critical technical issues.
Added 2 hours ago
A
Senior Full Stack Developer/AI Builder
adidas
Woodbridge, ON
- Full-time
Work with the AWS Platform / DevOps Engineer on delivery pipelines, environments, monitoring, and release readiness.
Added 2 hours ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
A hands-on platform engineer who combines AWS administration, DevOps automation, Site Reliability Engineering, observability, security, and cloud operations expertise. The candidate should…
Added 3 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores,…
Added 4 hours ago
Senior Visualization Professional
Capgemini
Mississauga, ON
- Experience with Azure Data Platform (Databricks, Synapse, Azure SQL, ADLS).
Added 4 hours ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
Adastra is looking for an Associate DevOps Engineer to join our AWS Practice and support cloud modernization, data platform, and migration initiatives. The role will focus on building and…
Added 5 hours ago
DevOps Engineer
Varonis
Canada
…conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with…
Added 6 hours 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 8 hours ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
…and operationalize a secure, scalable Databricks foundation, with a strong focus on Unity Catalog, data governance, platform security, workspace architecture, storage integration, identity…
Added 8 hours ago
MR
Senior Platform Engineer/ High Growth
Motion Recruitment
Toronto, ON
- $190,000 to $220,000 USD / year
- Full-time
5+ years of experience across Platform Engineering, SRE, DevOps, or Infrastructure Engineering, combined with significant production software development experience and the ability to build…
Added 9 hours ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
…of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models…
Added 10 hours ago
SG
Senior Solution Designer
SRA Group
NB · New Brunswick, Canada
- $85 to $90 CAD / hour
- Contract
…Fabric, Azure Synapse Analytics, and modern cloud data platforms, with a proven track record of designing and delivering enterprise-scale analytics…
Added 12 hours ago
V
DevOps Engineer
Varonis
Vancouver, BC
- Full-time
…conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with…
Added 13 hours ago
KC
Site Reliability Engineer
KPMG Canada
Vaughan, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 13 hours ago
R&
Senior Azure Cloud Platform Engineer
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Senior Azure Cloud Platform Engineer to join our client in support of an existing vacancy.
Added 13 hours ago
KG
Senior Java Low Latency Developer (Payments & Trading Platforms)
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
…Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets technology, and modern Java…
Added 13 hours ago
TC
Senior Java Low Latency Developer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
engineer with a strong background in low-latency trading systems, financial markets technology,
Added 14 hours ago
SD
Full Stack AI Engineer
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
We are seeking a Full Stack AI Engineer with demonstrated
Added 14 hours ago
P
Lead DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We need a Lead DevOps Engineer to own that infrastructure end to end. You'll be the single, clear owner of how Perceptic deploys, operates, secures, and scales, across our own platform and…
Added 14 hours ago
P
Senior DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We're hiring a Senior DevOps Engineer to build and run that infrastructure with us. You'll take real ownership from day one across our own platform and the isolated customer environments…
Added 14 hours ago
MP
Lead Data Engineer
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Experience with source control, CI/CD pipelines, DevOps/DataOps and agile delivery methodologies, including GitLab CI/CD pipelines

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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