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Associate Machine Learning Jobs in Mississauga, ON

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ... Work with LLM APIs, machine learning models, and automation pipelines to support intelligent ...

PwC

Credit Risk Modelling Senior Associate

Toronto, ON · Hybrid

CA$73K - CA$122K/yr

Meaningful workyou'llbe part of As a Credit Risk Modelling Senior Associate,you'llwork as part of a ... Artificial Intelligence (AI)/machine learning(ML)/Generative AI (GenAI)model development and ...

Transunion

Principal, Fraud Analytics

Burlington, ON · On-site

Oversee the development of machine learning models, rules engines, and anomaly detection systems to ... We strive to build an environment where our associates are in the driver's seat of their ...

Emterra Group

AI - Full Stack Engineer

Oakville, ON

$120K/yr

Position Description AI & Machine Learning * Act as the internal SME for AI strategy, tooling ... AI-102 (Azure AI Engineer Associate) or DP-100 (Azure Data Scientist) certification Salary - $120 ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Mississauga, ON

Associate Machine Learning information

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Mississauga, ON? The most popular types of Machine Learning jobs in Mississauga, ON are:
What cities near Mississauga, ON are hiring for Associate Machine Learning jobs? Cities near Mississauga, ON with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you

Associate, Software Engineer, New Grad Card Expansion

Capital One

Toronto, ON

Full-time

Re-posted 15 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks

Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Software Engineer, New Grad Card Expansion

MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.

About Capital One Canada

For 30 years, we've been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated.

You'll be empowered to grow your career in a supportive environment where you can own and shape your journey on your own terms. You'll redefine what's possible by contributing to work that impacts millions of Canadians, taking ownership of your decisions and outcomes, supported by mentors who will push you to think bigger and challenge the status quo.

Are you ready to redefine what's next?

About the Team

Yes, we're a credit card company. But we're more than that too. We're driven by what our customers want, and how to make their lives simpler.

We're always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we'll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering.

About the Role

Our environment is creative, filled with teams that are passionate about the work they're doing and the people they are doing it for. We're a technology thought leader in the financial industry and we want to keep it that way.

We have a passion for open-source and for working with the latest technologies. Whether you're a big Apple fan or an Android lover, a UI developer or prefer NoSQL databases over anything else, you'll fit in our team. All you need is to be passionate about technology!

Below are some of the skills the team is looking for, but you're not expected to have them all. Curiosity and willingness to learn are what matter most.

  • IDE: Android Studio, XCode, Visual Studio Code, IntelliJ

  • Language: Kotlin, Swift, Javascript, Typescript, GoLang, NodeJS

  • AWS: S3, EC2, Lambda, Route53, Security Groups, IAM roles

  • Monitoring Tool: Splunk, New Relic, Cloudwatch

  • Testing Framework: MockitoJUnitRunner, Espresso, XCTest

Our Associates are involved in business critical projects. Here are some examples.

  • Improve user experience for Android / iOS customers

  • Develop CI/CD pipelines to AWS cloud environment

  • Remediate and enhance cyber security

  • Create front end applications with React and Angular.

  • Develop backend Microservice applications and APIs

Think it. Code it.

This is our motto! By that, we mean that you, as a member of one of our great Agile teams will be responsible for the design, coding, testing and delivery of solutions that benefit our customers and Canadians in general.

Continuous Learning

We're here to help you develop your knowledge and skills, both on the job and in the classroom. Our engineers have access to incredible continuous learning tools and courses through our very own Tech College, a world-class learning hub that offers both online and in-person classes for across multiple disciplines-Cloud Computing, Cyber Security, Mobile Development, Machine Learning & AI, to name a few.

As a new Software Engineer, you'll join the Tech Development Program (TDP), which takes place over your first year with us and involves hands-on learning, development, and networking. Throughout your time in the program you could tackle front-end, back-end, full-stack, mobile development, or maybe even all of them.

Your Responsibilities:

  • Work as part of a dynamic team throughout the software development life cycle

  • Collaborate with designers and analysts to implement enhancements or new applications

  • Develop code to meet story acceptance criteria

  • Conduct design and code reviews to ensure high-level quality output

  • Ensure adherence to continuous improvement practices as required to meet quality, and time to market imperatives

  • Maintain records to document program development, and revisions

  • Provide third-level support of software solution as needed


Basic Qualifications:

  • Have obtained a Bachelor's degree or higher between September 2025 to September 2026

  • Good communication, presentation, and writing skills

  • Good understanding of testing fundamentals

  • Experience in unix or linux operating systems

  • Able to work within a team setting and actively participate and collaborate in team discussions


Preferred Qualifications:

  • Experience in front end development such as JavaScript, HTML, mobile, frameworks such as React, Vue, Angular

  • Knowledge of programming languages, including but not limited to Java, Python, JavaScript, NodeJS, Kotlin.

  • Experience with Jenkins CI/CD, microservices, API design / integration

  • Experience with version control technology i.e. Git

  • Experience in a Linux/Unix environment with strong coding background.

Working at Capital One

Here you'll uncover personal strengths, explore new interests and make an impact that matters. The work you'll find here will keep you inspired and guide you in your career journey.

  • Take ownership of your own potential: As you begin your career, you'll define your own path by gaining exposure across the business, learning new skills, and having access to tools and mentorship to understand your potential.

  • Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model - with 3 days in the office per week - that gives room for both collaboration and personal commitments.

  • Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

You'll find that Capital One is committed to helping you thrive and evolve every step of the way.

This posting is for an existing vacancy.

The expected annual salary for this position is $100,000. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non discretionary depending on the plan.

Weembrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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