Machine Learning Engineer I

September 5, 2025

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Job Description

Description

Join to apply for the Machine Learning Engineer I role at TD

Join to apply for the Machine Learning Engineer I role at TD

Pay Details
$120,000 – $153,500 CAD

Work Location:
Toronto, Ontario, Canada
Hours
37.5
Line Of Business
Analytics, Insights, & Artificial Intelligence
Pay Details
$120,000 – $153,500 CAD
The 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
CUSTOMER

  • Provide expertise on fundamental engineering practices for the broader AI/ML engineering team and inspire the adoption of ML engineering practice across the organization.
  • Interpret the meaning of new strategic directions and set objectives and measurements.
  • Implement monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements.
  • Gather and analyze information or data on current and future trends of best engineering practices.
  • Seek information on issues impacting the progress of organizational, engineering and process issues.

SHAREHOLDER

  • Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
  • Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
  • Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
  • Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
  • Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
  • Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
  • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
  • Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
  • Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
  • Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
  • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
  • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite

EMPLOYEE / TEAM