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Added 2 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
Backend Development: Build high-performance backend systems, microservices, and business logic using modern frameworks (such as Java Spring Boot, .NET 8 / ASP.NET Core, Node.js/NestJS,…
Added 2 months ago
TR
Senior Data Developer
Teck Resources Limited
Vancouver, BC · Greater Vancouver Metropolitan Area
- $122,000 to $150,000 CAD / year
- Full-time
Develop and maintain data processing solutions using Python and SQL for data ingestion, transformation, and analytics, leveraging Databricks, Spark, Apache Kafka, Azure Event Hubs,…
Added 2 months ago
IC
Full Stack Developer
Infoya Career Connect
Vancouver, BC · Ottawa, ON · Toronto, ON · Waterloo, ON · Montreal, QC · ON
- $85,000 to $115,000 CAD / year
- Full-time
We are seeking a talented Full Stack Developer to design, develop, and maintain modern web applications. The ideal candidate will have experience building scalable frontend and backend…
Added 2 months ago
B
MarTech Developer
BrainStation
Toronto, ON
- $90,000 to $120,000 USD / year
- Full-time
As a MarTech Developer, you'll be tasked with working on a variety of client-facing marketing technology initiatives. Working within cross-functional project teams, your responsibilities…
Added 2 months ago
VN
Solutions Architect, AI Systems
Viral Nation
Toronto, ON
- Full-time
Write and maintain working code (Python, SQL, APIs) to operationalize models and pipelines - doesn't need to be enterprise-grade, needs to run.
Added 2 months ago
P
Software Developer - Talent Community
Portfolio+
Whitchurch-Stouffville, ON
- Full-time
As a Software Developer with Portfolio+, you will play a key role in shaping and enhancing our financial software solutions, empowering customers to achieve their goals. Leveraging your…
Added 2 months ago
M
Automation Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
Knowledge of programming languages (Python, C#, SQL, C++, Java, VB (.NET), etc.) is an asset
Added 2 months ago
J
Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Proficiency in SQL and Python (or a similar language), enough to independently pull, analyze, and interrogate data and to collaborate credibly with Data Science and Analytics.
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
Added 2 months ago
FB
Analyst, Data Analytics- Retail Financing (Fixed Term Contract)
Fairstone Bank
London, ON · Toronto, ON
- Full-time
Advanced proficiency in SQL, Python/R, and data visualization tools (Alteryx, Power BI - Tableau and asset)
Added 2 months ago
CI
Director of Business Intelligence & Analytics (Permanent)
CoreFactor Inc.
Toronto, ON
- Full-time
Proficiency in data visualization tools (e.g., Tableau, Power BI), statistical software (e.g., Python), and CRM platforms (e.g., Salesforce); with a strong working knowledge and…
Added 2 months ago
Manager, AI & Data Consulting
Welcome to the Jungle
Montreal, QC
Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.
Added 2 months ago
C
Développeur logiciel senior – Systèmes de négociation électronique
CGI
Montreal, QC
- Full-time
We are seeking a Senior Software Developer – Electronic Trading Systems with 5–10 years of relevant industry experience to design, develop, enhance, and support high performance trading…
Added 2 months ago
O
Data Engineering Developer
OSEDEA
Montreal, QC
- Full-time
We’re a thriving and agile tech development firm. People are at the center of everything we do. Simply put, we care. Our team personally cares about our clients and the world around them,…
Added 2 months ago
S
Senior Ethical Hacker
Stantec
Toronto, ON
- Full-time
Engineer custom Python, Terraform, and Ansible extensions to enable specialized security and
Added 2 months ago
M
Manager, Ecommerce Product Analytics
McAfee
Waterloo, ON
- Full-time
Advanced analytical skills with expert proficiency in SQL and experience analyzing large-scale site datasets. Proficient in Python for analysis and statistical work.
Added 2 months ago
EB
Senior Analyst, Credit Risk & Collections
EQ Bank
Toronto, ON
- Full-time
Proficiency with data management and reporting tools such as Python and SQL is required
Added 2 months ago
KS
Quality Assurance Team Lead
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an experienced QA-Lead with strong expertise in Capital Markets and Wealth Management Technology (WMT) to support a large-scale transformation initiative focused on…
Added 3 months ago
X
Data Scientist
Xsolla
Canada
- Full-time
Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
Added 2 months ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Familiarity with object-oriented programming languages and concepts (Python, Java, etc..)
Added 2 months ago
E
SDET III (IC3) - Software Engineer in Test III
Emburse
Toronto, ON
- Full-time
Familiarity with object-oriented programming languages and concepts (Python, Java, etc..)
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
Strong Python skills (pytest, pandas, numpy, cx_Oracle) and comfort with SQL (Oracle and/or Sybase/SQL Server).
Added 2 months ago
QI
Intermediate Software Developer
Quarterhill Inc.
Saskatoon, SK
- Full-time
The Intermediate Software Developer will be responsible for designing, developing, and maintaining software applications. This role involves working closely with senior developers,…
Added 2 months ago
KC
Data Support Senior Consultant
KPMG Canada
Toronto, ON
- Full-time
Work with audit engagement teams to support the use of Data and Analytics (D&A) in the performance of external audits including data acquisition, movement and transformation; utilize a…

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

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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.

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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

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