# Senior Machine Learning Engineer Source: https://realanalystjobs.com/job/senior-machine-learning-engineer-td-718e4960 Senior Machine Learning Engineer at TD, an on-site role based in Toronto, Canada. Pay stated in the posting: $187,500 to $261,000. Posted on 13 November 2026, read from TD's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [TD](https://realanalystjobs.com/companies/td) - Location: Toronto, Canada - Work mode: On-site - Pay stated in the posting: $187,500 to $261,000 - Posted: Nov 13, 2026 - Employment type: Full time - Source: TD's careers page (Workday), re-checked daily ## About this role Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $187,500 - $261,000 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: Design, build, and operate AI-powered products, platforms, and agentic workflows that accelerate and improve the Product Development Lifecycle (PDLC). Enable software engineers, quality engineers, architects, product owners, business analysts, release managers, and other technology practitioners to deliver better outcomes through responsible use of AI. CUSTOMER • Partner directly with PDLC professions to identify workflow friction, validate opportunities, and deliver AI-enabled solutions that improve productivity, quality, security, and developer experience. • Provide expertise in multiple ML engineering and/or infrastructure areas, senior technical leadership in support of the Banks objectives related to the overall Engineering function across multiple projects & high impact outcomes. • Design and implement agentic workflows and multi-agent systems; design tool-calling and MCP integrations; implement memory, context management and observability capabilities; create reusable AI skills, prompts, workflows. • Design AI solutions that comply with enterprise AI governance requirements, including security, privacy, model risk, data protection, and responsible AI standards. • Define success metrics and measure realized value through telemetry, user feedback, workflow analytics, and business outcomes. • Research advanced technologies for relevant specialized area of Engineering, develop and document high level and low-level design of respective AI/ML engineering systems. • Lead and support Engineering and/or Infrastructure projects and designs on an enterprise basis covering US, Canada, and international sites (if required). • Act as thought leader, innovator, and agent of change for the programs and services under executive management impacting and influencing organizational direction to meet longer term strategic objectives. • Work in close partnership with technology teams to support TD's business objectives and operational support goals and provide domain expertise on strategic Infrastructure as well as Business project related activities (including both Change the Bank and Run the Bank programs). • Engage executive stakeholders appropriately to review progress and obtain input, validation, and approval of key decisions. • Anticipate client needs to identify appropriate solutions and to influence the development of innovative solutions 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 • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest. • Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit. • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques. • Participate in personal performance management and development activities, including cross training within own team. • Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day- Description from TD's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-machine-learning-engineer-td-718e4960) and use Apply now there to reach the employer's application. The listing is re-checked against TD's careers page daily and removed when it closes. ## TD 54 open analyst roles on Real Analyst Jobs. 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