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Machine Learning Engineer New Grad Jobs in Ontario

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

Machine Learning Engineer

Toronto, ON ยท 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 ...

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ... Grow by continuously learning new skills and exploring advanced topics in AI with a team that ...

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ... Grow by continuously learning new skills and exploring advanced topics in AI with a team that ...

... new business opportunities. Our mission is to increase the GDP of the internet, and we have a ... What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities ...

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 ...

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Showing results 1-20

Machine Learning Engineer New Grad information

See Ontario salary details

$26.5K

$109.4K

$202.5K

How much do machine learning engineer new grad jobs pay per year?

As of Jul 20, 2026, the average yearly pay for machine learning engineer new grad in Ontario is $109,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Ontario? For Machine Learning Engineer New Grad jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Ontario look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Ontario are:

Intermediate Machine Learning Engineer

Hibernian General Insurance

Toronto, ON โ€ข Hybrid

CA$90K - CA$115K/yr

Other

Medical, Retirement

Re-posted 7 days ago


Job description

Experience Aviva

Individually 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 Opportunity

We 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.

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