Machine Learning Engineer jobs in Canada

Toronto, Ontario, Canada

37.5

Analytics, Insights, & Artificial Intelligence

$154,000 - $199,500 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.

We are looking for experienced AI and ML Engineers who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid AI and ML engineering experience. They should also have expertise in data engineering, machine learning system design and AI/MLOps.

• Gen AI: Develop and deploy scalable production Gen AI systems and applications.
• Predictive ML: Develop and deploy batch and real‑time model inference pipelines to production, perform end‑to‑end integration testing.
• Model Serving Framework: Develop in‑house model serving framework or integrate open‑source model serving framework with enterprise AI and data platform.
• ML System Design: Architect scalable machine learning and Gen AI systems that integrate with existing AI and data platforms and infrastructure, focusing on automation, operation efficiency, and reliability.
• Data Analysis & Processing: Perform data analysis, data preprocessing, and feature engineering on complex structured and unstructured and large datasets for machine learning models and AI applications.
• Model Deployment & Monitoring: Build and deploy model inference pipeline, ground truth pipeline, model monitoring pipeline to production environment. Continuously monitor production model performance and system performance.
• Automation: Build CI/CD pipelines to automate model deployment, deployment validation, model performance monitoring, and model retraining.
• Research: Stay up to date with the latest advancements in AI/ML technologies and apply them to improve existing ML systems or develop new systems and solutions.
• Technical Leadership: Provide technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
• Collaboration: Work with AI/ML platform team, machine learning scientists, product owners and business partners to gather use case requirements and implement technical solutions for production AI/ML models and applications.

• Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
• 1+ years experience of building machine learning production systems (includes post graduate experience)
• 2+ years of extensive programming experience
• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models
• Solid experience with developing MLOps/AIOps CI/CD pipelines for deploying AI/ML models
• Solid experience with RAG, Agentic AI, LLM fine tuning, LLM serving, end‑to‑end GenAI application development, deployment, and production.
• Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory
• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving
• Expert coder with Python, Java, or Scala
• Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

• Knowledge of cloud engineering
• Self‑motivated and demonstrated ability to take independent action to deliver results.
• Highly developed critical thinking, analytical and problem‑solving skills
• Strong verbal and written communication skills, with the ability to work effectively across teams

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 deliver legendary customer experiences to 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 the Bank, the people we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing — and so will you.

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

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.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD — and we’re committed to helping you identify opportunities that support your goals.

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

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.

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!

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