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Added 16 mins ago
SE
Regional Sales Leader - Industrial Automation
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- $175,200 to $262,800 CAD / year
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Added 23 mins ago
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Applied Machine Learning Scientist I

Toronto, ON, Canada

$105,500 - $125,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually. · Full-time

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Job details

Pay: $105,500 - $125,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Job type: Full-time
Apply by: Oct 21, 2026
Experience: 2+ years of experience applying machine learning to real-world business problems
Posting language: English
Posted: Oct 7, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$105,500 - $125,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

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.

Job 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 Business 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, LLM-based models, Pricing, Anomaly Detection.
Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approaches
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 and industry trends to bring innovative approaches into production

What You Bring

2+ years of experience applying machine learning to real-world business problems
Proficiency in Python and key ML libraries
Experience 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 and monitoring in a production environment
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 agents

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. Learn more

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 subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

Develop, deploy, and maintain predictive and generative AI models to support business banking initiatives. Collaborate with cross-functional teams to translate business problems into analytical frameworks and ensure model performance in production.

Requirements

Requires at least 2 years of experience in machine learning with proficiency in Python and relevant libraries. An undergraduate degree is mandatory, while an advanced technical degree in a STEM field is preferred.

Skills

Python
Machine Learning
Predictive AI
Generative AI
LLM
Agentic AI
Pricing
Anomaly Detection
Feature Engineering
Model Interpretability
Model Deployment
A/B Testing
Data Analysis
Statistical Modeling
Cross-functional Collaboration

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Python
Predictive AI
Generative AI
LLM
Agentic AI
Pricing
Anomaly Detection
Feature Engineering
Model Interpretability
Model Deployment
A/B Testing
Data-driven decision-making
Business Banking
STEM
Financial Services
Causal Inference
Analytics
Production Monitoring

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