Applied Machine Learning Scientist

Overview

Applied Machine Learning Scientist Jobs in Toronto, Canada at The Toronto-Dominion Bank (Canada)

Title: Applied Machine Learning Scientist

Company: The Toronto-Dominion Bank (Canada)

Location: Toronto, Canada

Category:

Position: Applied Machine Learning Scientist I

Description

:

We’re looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In this role, you’ll drive the development and deployment of ML solutions that power data-driven decision-making across our Canadian Personal Banking division. You’ll work closely with various teams to bring AI capabilities to life and deliver measurable business impact.

This is a unique opportunity work on high-impact initiatives in a fast-growing function. If you’re passionate about solving real-world problems with machine learning and want to make a tangible difference at scale, we’d love to hear from you.

What You’ll Do

Develop, deploy, and maintain Predictive and Generative AI models for use cases such as Agentic AI, Chatbots, Pricing, and Anomaly Detection, Forecasting

Design and implement clean, modular, and reusable ML codebases using object-oriented programming (OOP) principles and best coding practices

Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approaches

Build production-ready ML pipelines
, ensuring robustness, scalability, and maintainability

Conduct rigorous model evaluation, documentation, A/B testing, and monitoring to ensure model performance, fairness, and stability in production

Communicate complex technical results to non-technical stakeholders and provide actionable insights

Stay current with ML research, GenAI advancements, and software engineering best practices to bring innovative approaches into production

What You Bring

2+ years of experience applying machine learning to real-world business problems

Strong proficiency in Python for ML modeling and implementation

Experience building maintainable, well-tested, and production-quality ML code

Proficiency with key ML libraries and frameworks

Experience working with structured and unstructured data
, feature engineering, and model interpretability techniques

Exposure to GenAI or large language models and their practical applications

Hands-on experience with model deployment, monitoring, and lifecycle management in production environments

Strong problem-solving skills and a track record of delivering results in cross-functional teams

Undergraduate degree required; advanced technical degree in a STEM field preferred

Nice to Have

Experience working in financial services or regulated environments

Familiarity with causal inference, anomaly detection, or agent-based systems

Experience applying software engineering practices such as code reviews, version control, testing, and documentation in ML projects

Who We Are:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.

TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is…