Machine Learning Engineer Lead

Vancity (2.0); Vancouver; Hybrid; CAD 125,000 - 169,000; Full time

Benefits offered by this job

Living Wage Employer

Customisable Benefits

Generous Vacation

Extra Stat Holidays

Health Coverage

Pension Plan

Job summary

Vancity, a member-owned credit union, seeks a Machine Learning Engineer Lead to join our Data Science & AI Pod. You will design, build, deploy, and operate enterprise ML solutions, covering model development, MLOps, deployment automation, monitoring, and continual improvement in production environments.

The role is full-time and permanent, remote with eligibility for candidates in British Columbia or Ontario. On-site presence is expected for events and business demands.

Qualifications

• 10+ years of experience in Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related disciplines.
• Strong hands-on experience building and deploying cloud-based applications and machine learning services.
• Proficiency in Python and SQL with solid software engineering fundamentals.

Responsibilities

• Design, build, deploy, and operationalize enterprise ML solutions across full lifecycle (model development, feature engineering, MLOps, deployment automation, monitoring).
• Architect scalable ML workflows and model-serving frameworks for multiple use cases and teams.
• Implement production-grade ML pipelines and governance, drift detection, and retraining triggers.

Skills

Machine Learning

Python

SQL

Productionizing ML

API design

Education

Bachelor's or Master's in CS/SE/Math/Stats

Tools

Azure ML

Databricks

MLflow

PyTorch

TensorFlow

Job description

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.

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 modelling, classification, regression, recommendation, and optimisation 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, optimisation, 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 re-training 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 re-training 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 productionising 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 modelling, 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 modelling, member or customer personalisation, recommendation systems, marketing optimisation, and experimentation frameworks such as A/B testing
• Familiarity with advanced machine learning techniques including anomaly detection, graph neural networks, optimisation 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 operationalising 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 programme, subject to programme 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
• Customisable 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.