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New Grad Machine Learning Jobs in Waterloo, ON (NOW HIRING)

Design and implement security frameworks for Machine Learning (ML), Generative AI (GenAI), and ... new applications and services. * Experience designing the deployment of applications and ...

Lead Software Developer (AOSP)

Waterloo, ON · On-site

CA$140K - CA$170K/yr

Thrive in an entrepreneurial environment that supports new ideas. Explore multiple sectors like ... Knowledge of Machine Learning and experience using AI tools in the development process.

Shop Assistant

Brantford, ON · On-site

CA$20.79 - CA$24.36/hr

The position contributes to a safe, efficient, and high-quality learning environment by supporting ... Completion of introductory studies in industrial skilled trades such as welding or machining is ...

Maintenance Mechanic

Cambridge, ON · On-site

CA$28.14 - CA$29.86/hr

Our team members come from a variety of backgrounds, and we see value in learning from each other ... Set up production machines to manufacture the correct Lok/label series and opening size per the Job ...

Maintenance Mechanic

Cambridge, ON · On-site

$28.14 - $29.86/hr

Our team members come from a variety of backgrounds, and we see value in learning from each other ... Set up production machines to manufacture the correct Lok/label series and opening size per the Job ...

Ensure all new and rebuilt equipment has all features required by CSA, OSHA, and Electrical Safety ... machining. * Continuous learning to maintain a current knowledge of policies, procedures, and ...

Ensure all new and rebuilt equipment has all features required by CSA, OSHA, and Electrical Safety ... machining. * Continuous learning to maintain a current knowledge of policies, procedures, and ...

Manufacturing Engineering

Milton, ON · On-site

CA$85K - CA$105K/yr

Curiosity and confidence learning new technology. Experience or exposure to AI and data analytics, automation and controls, robotics, machine vision, IoT or Industry 4.0 is an asset, not a ...

At D2L, we're passionate about transforming learning to be accessible, engaging, and inspiring for ... Support new translation deals and project manage end-to-end delivery of the Course Package ...

Showing results 21-40

New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What cities near Waterloo, ON are hiring for New Grad Machine Learning jobs?

Cities near Waterloo, ON with the most New Grad Machine Learning job openings:

Infographic showing various New Grad Machine Learning job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Software Engineer - MLOps

Sun Life Financial

Waterloo, ON

Full-time

Re-posted 7 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

91st of 311 rated insurance


Job description

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Discover how you can make a difference in the lives of individuals, families and communities around the world.


Job Description:

About the role:

The Enterprise Data & Analytics Enablement team is looking for a highly experienced, hands-on Lead Software Engineer to lead our MLOps team within an Analytics Platform, emphasizing AWS cloud services and machine learning operations. The successful candidate will have strong technical and problem-solving skills and the ability to lead a team of MLOps Engineers. This unique opportunity offers a dynamic space and a chance to collaborate with multiple technical and business teams.

What you will do:

  • Provide technical leadership for the MLOps squad within the Analytics Platform, influencing architecture and standards across multiple teams
  • Design, build, and evolve productiongrade MLOps and ML platform capabilities, including model lifecycle management, CI/CD, evaluation, monitoring, and governance
  • Spend ~60% handson in software engineering, building highquality, testable, maintainable services, frameworks, APIs, and shared libraries that enable ML and GenAI at scale
  • Spend ~40% on platform, cloud, and MLOps enablement, ensuring solutions are secure, scalable, observable, and costeffective
  • Act as a technical authority for AWSbased ML platforms, leading design decisions and guiding adoption of new cloud and GenAI services
  • Establish and evolve engineering and MLOps standards, patterns, and best practices across squads
  • Partner closely with Architecture, Security, Risk, and Product teams to reduce delivery, operational, and model governance risk
  • Lead by example through code reviews, design reviews, incident analysis, and operational improvements
  • Mentor senior and intermediate engineers, raising the overall technical bar without direct people management

What you need to succeed

  • A deep software engineering background, with a strong track record of building and operating largescale, production systems
  • Extensive handson experience with AWS in production, including infrastructure design, deployment, and optimization
  • Strong experience with
  • Distributed systems and cloudnative architectures
    • CI/CD pipelines and automation
    • Observability, reliability, and incident response
    • Practical experience with MLOps, ModelOps, ML platforms, or LLMOps in enterprise environments
  • Proficiency in one or more of: Python, Java, Scala, and InfrastructureasCode tooling (Terraform / CloudFormation)
  • Ability to operate at Lead scope, influencing architecture and decisions across multiple teams and domains
  • Exceptional communication skills, with the ability to explain complex technical concepts to both technical and nontechnical stakeholders

Preferred skills:

  • Deep familiarity with AWS analytics, ML, and GenAI services, including evaluation and monitoring tooling
  • Experience designing or supporting enterprise MLOps / ML platform frameworks used by multiple teams
  • Strong understanding of securityfirst design, governance, and compliance in regulated environments
  • Experience balancing innovation with operational supportability in platform teams
  • Proven ability to mentor and influence without formal authority
  • Strong product and business awareness, enabling pragmatic technical tradeoffs
  • We value analytical thinking and continuous learning. Through training and coaching, you can improve your data literacy and apply insights in meaningful ways, regardless of experience level.

What's in it for you:

  • We're honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.
  • We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work,for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
  • Wellness programs that support the three pillars of your health - mental, physical, and financial
  • The opportunity to move along a variety of career paths with amazing networking potential.
  • As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the office

As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life in advance of the start date

Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life's policies and practices


The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.


Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.


Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.


We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.


We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.


We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.


Salary Range:

90,000/90 000 - 140,000/140 000

Job Category:

IT - Technology Services

Posting End Date:

02/09/2026

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