Find work in Canada.

553,723 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
B
Software Engineer - AI Developer Productivity
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week…
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- $160,000 to $190,000 USD / year
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI…
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona's voice and multimodal agents. You will own problems across…
Added 2 months ago
C
Staff CAD/EDA Tools Engineer
Cognichip
Toronto, ON
- $143,000 to $175,000 CAD / year
- Full-time
We are seeking a Staff CAD/EDA Tools Engineer to own the application layer of our EDA tool ecosystem: the wrapper scripts, CLI tooling, and container images that let engineers and AI…
Added 2 months ago
SA
Research Engineer - World Models
Skyfall AI
Toronto, ON
- Full-time
We're looking for a Research Engineer (ML) to join our cutting-edge AI research team. This role is ideal for engineers who thrive at the intersection of AI research and scalable software…
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
As a Machine Learning Engineer Lead, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support…
Added 2 months ago
H
Senior Firmware and Embedded Software Engineer
Humanoid
Burnaby, BC
- Full-time
We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots.
Added 2 months ago
E
Senior DevOps Engineer
e-STORAGE
Kitchener, ON
- Full-time
We are seeking a talented Sr DevOps Engineer to join our dynamic team and contribute to the delivery of on-site and cloud-based Energy Management System (EMS) for utility grade systems. The…
Added 2 months ago
PI
Principal RF Modeling & Characterization Engineer
Palitronica Inc.
Waterloo, ON
- $140,000 to $180,000 CAD / year
- Full-time
Palitronica is seeking a Principal RF Modeling & Characterization Engineer to develop the predictive RF models and characterization methods needed to understand and optimize Anvil's RF…
Added 2 months ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Strong Python development skills and hands-on experience with PyTorch.
Added 2 months ago
XR
Senior AI - Computer Vision Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior AI / Computer Vision Engineer with deep expertise in 3D computer vision and spatial AI to join the team and help develop the next generation of perception…
Added 2 months ago
S
Senior Quality Assurance Specialist
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $125,000 CAD / year
- Full-time
We are looking for an Automation Engineer - a developer-first, agentic thinker who will build the intelligent systems that keep Sophis, strategic front-to-back trading platform, running at…
Added 6 months ago
RI
Silicon Photonics Designer and Tester Engineer
RANOVUS Inc.
Ottawa, ON
- Other
We are seeking a highly skilled, independent, and detail-oriented Silicon Photonics Designer and Tester Engineer to join our team. The successful candidate will have a Master or PhD degree…
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model…
Added 2 months ago
Sr. Manager, Engineering
Dialpad
Vancouver, BC
…work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve…
Added 2 months ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Data Science ML/GenAI Engineer (Intermédiaire)À propos d’Irth Solutions
Added 2 months ago
F
Senior Software Engineer (AI & Full Stack)
Fable
Canada
- Full-time
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Added 2 months ago
AI
Senior Controls Systems Software Designer
ATS Industrial Automation
Woodbridge, ON
- Full-time
In depth programming in environments mainly using PLC Ladder logic (Rockwell / Siemens platforms), and structured test (i.e. shell scripting, Visual Basic, C#, Python)
Added 2 months ago
L
Senior Software Automation Engineer
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Position Title: Senior Software Automation Engineer
Added 2 months ago
W
Senior Software Engineer II - Integrations
Wrapbook
Remote, Canada
- $183,000 to $251,500 CAD / year
- Full-time
- Remote
Strong coding fluency and hands-on experience with modern data/integration tooling (e.g., Dagster, Airbyte, Airflow, dbt, or similar) as well as Python and Rails
Added 2 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Vaughan, ON
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 2 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Oakville, ON
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 2 months ago
KC
Bilingual Senior AWS Platform Engineer
KPMG Canada
Hamilton, ON
- Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…

Vancity

Machine Learning Engineer Lead

Vancouver, BC, V6A 4G2, Canada
Toronto, ON, V3M 1J9, Canada

This role offers a salary range of $125,000.00 to $169,100 per annum. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: This role offers a salary range of $125,000.00 to $169,100 per annum.
Job type: Full-time
Experience: 10+ years of experience in Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related disciplines
Posting language: English
Posted: Aug 19, 2026

Original job description

Our Story & Purpose:

We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.

As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!

Your Role in Supporting Our Members:

As a Machine Learning Engineer Lead, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support business decision-making, automation, and operational efficiency. This role is highly hands-on and best suited for an engineer who can design, build, deploy, and operationalize machine learning models in enterprise production environments. You will work across the full ML lifecycle, including model development, feature engineering, MLOps, deployment automation, monitoring, and continuous improvement of machine learning systems. Success in this role is measured by scalable, reliable, and production-ready machine learning solutions - not proof-of-concepts or experimentation alone

This is a Full-time, Permanent role and will report directly to the Manager, Data Science & AI. This position is remote and open to candidates located in British Columbia or Ontario. While this position provides a remote work arrangement, you will be expected to be on-site for events and business demands

How You'll Make an Impact:

Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains
Applying machine learning and data science techniques such as forecasting, predictive modeling, classification, regression, recommendation, and optimization to solve business problems
Conducting experiments and evaluating models using appropriate statistical, technical, and business performance metrics
Architecting, building, deploying, and maintaining scalable machine learning models and AI solutions integrated into enterprise systems, applications, and operational workflows
Designing and implementing end-to-end ML workflows, including data preparation, feature engineering, model training, validation, deployment, optimization, and continuous monitoring in a high-scale production environment
Developing reusable machine learning components, feature pipelines, and model-serving frameworks to support multiple use cases and teams
Designing and implementing production-grade MLOps solutions using Azure ML, Databricks, MLflow, and related cloud technologies
Building and maintaining automated ML pipelines, feature engineering workflows, feature store patterns, and deployment processes for training, testing, monitoring, and retraining machine learning models
Implementing standards and best practices for model versioning, lifecycle management, governance, deployment automation, model performance monitoring, drift detection, data quality, operational health, and retraining triggers
Developing production-quality Python code, APIs, automation workflows, and machine learning services to integrate ML capabilities into business applications and processes

What You’ll Bring to the Team:

10+ years of experience in Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related disciplines
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
Strong hands-on experience building and deploying cloud-based applications and machine learning services
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Hands-on experience with industry-standard machine learning and deep learning frameworks such as PyTorch, TensorFlow, and Scikit-learn
Proven experience productionizing machine learning models and operating scalable, reliable ML systems in enterprise environments
Hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD pipelines, model lifecycle management, monitoring, and deployment automation
Strong understanding of API design and service integration, machine learning algorithms, statistical modeling, feature engineering, and model evaluation techniques
Proven ability to take solutions from prototype to production

Extra Skills That Set You Apart:

Exposure to machine learning use cases such as churn prediction, forecasting, predictive modeling, member or customer personalization, recommendation systems, marketing optimization, and experimentation frameworks such as A/B testing
Familiarity with advanced machine learning techniques including anomaly detection, graph neural networks, optimization methods, representation learning, causal inference, and Generative AI workflows
Experience integrating AI services into automation platforms such as UiPath or Power Automate and familiarity with AWS, GCP, Power BI, or Tableau

You’ll Thrive Here If You Are:

Production-Focused – You measure success by scalable, reliable, and production-ready machine learning solutions
Hands-On – You enjoy designing, building, deploying, and operationalizing machine learning solutions from end to end
Collaborative – You work effectively with data, platform, cloud, security, and business teams to deliver meaningful outcomes
Technically Curious – You continuously explore emerging technologies, machine learning techniques, and AI innovations
Quality-Driven – You prioritize engineering excellence, automation, testing, monitoring, and maintainable code

We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.

What You’ll Earn:

This role offers a salary range of $125,000.00 to $169,100 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.

Why You’ll Love Working Here:

A career at Vancity is more than just a job, you’re joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:

Living Wage Employer: We’re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada’s Top Employers
Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs
Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time
Extra Stat Holidays: In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness
Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from
Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone

Vancity Talent Programs:

Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.

This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage), we encourage you to let us know.

We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.

Apply About employer

More about this job

Responsibilities

You will design, build, and deploy enterprise-wide machine learning solutions to support business decision-making and operational efficiency. The role involves managing the full ML lifecycle, including feature engineering, MLOps, model monitoring, and continuous improvement of production systems.

Requirements

Candidates must have 10+ years of experience in machine learning engineering or related disciplines with a strong background in Python, SQL, and cloud-based ML frameworks. A bachelor's or master's degree in a quantitative field is required, along with proven experience in productionizing scalable machine learning models.

Skills

Machine learning engineering
Python
SQL
Azure machine learning
Databricks
MLflow
PyTorch
TensorFlow
Scikit-learn
MLOps
CI/CD pipelines
Feature engineering
Predictive modeling
API design
Statistical modeling
Cloud computing

Benefits

Flexible benefit packages
Generous vacation
Statutory holidays
Care days
Health and dental benefits
Defined benefit pension

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
Artificial Intelligence
Python
SQL
Azure
Databricks
MLflow
PyTorch
TensorFlow
Scikit-learn
MLOps
CI/CD
Feature Engineering
Predictive Modeling
API
Cloud Computing
Automation
Data Engineering
Statistical Modeling
Generative AI
Anomaly Detection
Graph Neural Networks
A/B Testing
Credit Union
Financial Services
Software Engineering
Model Governance
Deployment Automation
Enterprise Systems

Report this job