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Added 14 hours ago
AC
Junior Trader (Blockchain)
AP Capital
Toronto, ON
- Full-time
Basic programming or scripting knowledge (Python, SQL, etc.) is a plus
Added 15 hours ago
BG
Business Intelligence and AI Intern (12 Months)
BMW Group
Richmond Hill, ON
- Internship
…areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the…
Added 15 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 15 hours ago
AL
2027 Data Analytics & AltaGas - 2027 Process Automation Co-op Student
AltaGas Ltd.
Calgary, AB
- Full-time
Exposure to Power BI, Microsoft Fabric, SQL, Python, data visualization tools, or automation technologies is considered an asset.
Added 16 hours ago
BP
Machine Learning Intern – Summer 2027
BNP Paribas
Montreal, QC
- Internship
During the four-month internship, you will contribute to an applied research project aligned with the Lab’s priorities. These projects explore advanced AI capabilities for our solutions and…
Added 16 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &…
Added 16 hours ago
PF
Data Analyst 1
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
This is a hands-on analytical role requiring strong SQL, practical Python experience, data exploration, statistical analysis, and an understanding of data modeling. The role is not…
Added 17 hours ago
KB
Product Growth Marketing Manager, Lifecycle & GTM Systems
KidKare by MinuteMenu
Canada
- Full-time
…across the country. Today, we're building on that expertise with a growing ecosystem of software supporting childcare organizations across food program compliance, business management,…
Added 18 hours 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 18 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 19 hours ago
T
Advisor, Analytics Consulting
TransUnion
Burlington, ON
- Full-time
Advanced analytical and programming capabilities using R, SAS, SQL, Python, and big data technologies such as Hive, Spark, Hadoop, or cloud-based platforms.
Added 19 hours ago
T
Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON · Markham, ON
- Full-time
Core skills: SQL, Python for data analytics; statistics;
Added 19 hours ago
T
KYC Business Insights & Enablement
TD
Toronto, ON · Markham, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 19 hours ago
Software Developer- RPA / UiPath Specialist
Open Text Corporation
Mississauga, ON
As a Software Developer specializing in Robotic Process Automation (RPA), UiPath, and emerging agentic AI technologies, you will design, develop, deploy, and support intelligent automation…
Added 19 hours ago
NY
Analytics Consultant, Decision Support, Business Intelligence - FT (J0426-0587)
North York General Hospital
Toronto, ON
- Full-time
…Business Intelligence (BI) tools (e.g., Cognos, PowerBI, Tableau), SQL, R, Python, Excel or other analytic…
Added 19 hours ago
HC
Remarketing Analytics Associate
Hyundai Capital Canada
Toronto, ON
- Full-time
…well suited for an early-career analyst or recent graduate with a strong quantitative background, advanced Python skills, and an interest in applying data and analytics to business…
Added 19 hours ago
AC
Pharmaceutical Data Scientist
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
Experience with SQL and relational databases (PostgreSQL, SQL Server, Oracle).
Added 20 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 20 hours ago
Data Developer (Python/Spark)
Take-Two Interactive Software, Inc.
Toronto, ON
The ideal candidate is a strong Python developer who has some experience in front-end technologies like JavaScript, CSS3 and/or HTML5. They are a self-starter, comfortable with ambiguity,…
Added 20 hours ago
B
Marketing Campaign Execution Manager
Blend360
Toronto, ON
- $45 to $50 CAD / hour
- Contract
This role requires data literacy rather than technical analytics expertise; SQL, Python, data engineering, or software development experience is not required.
Added 20 hours ago
EC
Développeur(euse) QA / QA Developer
Eaton Corporation
Brossard, QC
- Full-time
Eaton's Electrical Services and Systems division is currently seeking a motivated QA Developer for its team. This role is based at our Eaton Americas Innovation Center in Brossard (Québec)…
Added 21 hours ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
Added 21 hours ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Use SQL, Python, R or comparable languages to acquire, transform, integrate, analyze and validate structured data from multiple sources.
Added 21 hours ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
Added 21 hours ago
Senior Specialist, Software Engineering (.Net)
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Experience with scripting languages like Python and PowerShell to automate and streamline tasks.

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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