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Director Google Machine Learning Engineer Jobs in Toronto, ON

BDO Canada

Senior Machine Learning Engineer

Oakville, ON

CA$84K - CA$128K/yr

Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON

CA$84K - CA$128K/yr

Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...

Providius

Junior Machine Learning Engineer

Hamilton, ON · On-site

$60 - $80/hr

What We're Looking For We're looking for a junior machine learning engineer to join our team and grow into a strong, hands‑on ML engineer. This is a role for someone early in their career who is ...

Sobeys

Machine Learning Engineer

Toronto, ON · On-site

$120 - $160/hr

Machine Learning Engineer Location : Sobeys COLAB Office (Toronto Downtown) Team : Enterprise Data and Advanced Technology Overview The Enterprise Data and Advanced Technology team at Sobeys operates ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...

Stripe

Machine Learning Engineer

Toronto, ON · Remote

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to ...

Equinix

Machine Learning Engineer

Toronto, ON · Remote

... ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

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Director Google Machine Learning Engineer information

Is L7 senior at Google?

At Google, L7 is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often associated with senior engineers or managers, depending on the role and team structure.

What engineer makes $500,000 a year?

A senior Google Machine Learning Engineer or Director level in large tech companies can earn $500,000 or more annually, often including base salary, bonuses, and stock options. These roles typically require extensive experience, advanced skills in machine learning and AI, and often involve leadership responsibilities and high-impact projects.

How much does a Google Engineering director make?

A Google Engineering Director typically earns between $200,000 and $300,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and senior roles may include additional benefits and incentives.

Will MLE be replaced by AI?

As a Google Machine Learning Engineer, the role involves developing and deploying AI models, but AI is a tool that enhances rather than replaces MLE work. MLEs focus on designing, optimizing, and maintaining machine learning systems, which require expertise in data science, programming, and domain knowledge that AI cannot fully replicate. The role is expected to evolve with advancements in AI, emphasizing collaboration with AI systems rather than replacement.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Toronto, ON? The most popular types of Google Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Director Google Machine Learning Engineer jobs in Toronto, ON? For Director Google Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
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Director Google Machine Learning Engineer jobs near you
Infographic showing various Director Google Machine Learning Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Intermediate Machine Learning Engineer

Aviva plc

Markham, ON • On-site

$90 - $115/hr

Other

Medical, Retirement

Posted 5 days ago

New

Job description

Experience AvivaIndividually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.The OpportunityWe are looking for a talented and motivated Intermediate Machine Learning Engineer to join our AI/ML Operations & Platform team. The ideal candidate will have hands-on experience in building and deploying machine learning solutions, with an understanding of cloud technologies and data platforms. You will work closely with ML engineers, data scientists, and product teams to support the development and operationalization of ML models across the organization.What you’ll do:Assist in designing and implementing ML pipelines and services in cloud and on-premise environments.Collaborate with cross-functional teams to gather requirements and contribute to scalable ML solutions.Support model deployment, monitoring, and performance optimization.Apply MLOps practices such as CI/CD, model versioning, and retraining workflows.Work with Snowflake and AWS services to support ML model deployment.Contribute to the development and maintenance of on-premise ML workflows.Ensure adherence to data privacy, security, and compliance standards.Participate in code reviews and knowledge sharing within the team.What you’ll bring:Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.2–4 years of experience in machine learning engineering or related roles.Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).Familiarity with AWS and/or Snowflake cloud services, as well as Linux-based systems.Basic experience with Jenkins and containerization tools such as Docker.Strong SQL skills, including an understanding of query optimization techniques.Exposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.Strong analytical and problem-solving abilities.What makes you stand out:Experience with Apache Spark and Snowpark for scalable data processing.Exposure to cloud platforms (e.g., AWS, Snowflake, Azure, GCP).What you’ll get:The salary band for this position ranges from $90,000 to $115,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.Hybrid flexible work model.Outstanding career development opportunities.We’ll support your professional development education.Competitive vacation package with the option to purchase 5 extra days off per year.Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.Corporate wellness programs to support our employees’ physical and mental health.This job advertisement is for an existing vacancy which has been posted both internally & externally.Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.#LI-MH1#LI-Hybrid #J-18808-Ljbffr

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