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Computer Science Fresh Graduate Jobs in Ontario (NOW HIRING)

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Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent ... Modern and comfortable officework environment with fresh fruit, snacks, and weekly fika breaks At ...

... fresh ideas and innovative approaches to drive product innovation. Requirements: * Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus. * Proven ...

Are you a recent graduate with internship experience in trading or finance, and strong Python ... Mathematics, Engineering, Physics, Computer Science). * Internship or early-career experience in ...

Machine Learning Engineer

Toronto, ON · Remote

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Graduate degree in Computer Science with a strong background in machine learning required. * Strong problem-solving abilities, solid background in algorithms and data structures required. * Strong ...

This role is ideal for a recent graduate from a top-tier university with prior internship ... Bachelor's degree in Finance, Economics, Business, Political Science, Law, Accounting, Computer ...

Showing results 41-60

Computer Science Fresh Graduate information

See Ontario salary details

$21.5K

$54.4K

$109.5K

How much do computer science fresh graduate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science fresh graduate in Ontario is $54,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $62,000.00 per year, depending on experience, location, and employer.

What is a computer science fresh graduate?

A Computer Science Fresh Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles typically involve tasks like software development, database management, IT support, or cybersecurity, depending on the employer. Companies hire fresh graduates to train them in industry practices and align their skills with organizational needs. Common job titles include Software Engineer, IT Support Specialist, and Data Analyst. Employers look for strong programming skills, problem-solving abilities, and a willingness to learn new technologies.

What types of projects and responsibilities can a computer science fresh graduate expect in their first role?

As a Computer Science Fresh Graduate, you can typically expect to contribute to coding, debugging, testing, and maintaining software applications under the guidance of more experienced team members. You'll often collaborate closely with engineers, designers, and sometimes clients to deliver project goals and learn best practices. Initial responsibilities may also include participating in code reviews, writing documentation, and assisting in troubleshooting technical issues. These projects are designed to help you build industry experience, strengthen your technical skills, and prepare for more advanced assignments or leadership roles over time.

What are the key skills and qualifications needed to thrive in the computer science fresh graduate position, and why are they important?

To thrive as a Computer Science Fresh Graduate, you need a solid understanding of programming languages, data structures, algorithms, and software development principles, typically proven by a bachelor's degree in computer science or a related field. Familiarity with industry-standard tools like Git, integrated development environments (IDEs), and possibly certifications in areas such as cloud computing or cybersecurity can be advantageous. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills will help you stand out. These competencies are crucial for adapting to varied technical tasks, succeeding in collaborative projects, and quickly growing in the fast-evolving tech industry.

What are popular job titles related to Computer Science Fresh Graduate jobs in Ontario?

For Computer Science Fresh Graduate jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computer Science Fresh Graduate jobs in Ontario look for?

The top searched job categories for Computer Science Fresh Graduate jobs in Ontario are:

Infographic showing various Computer Science Fresh Graduate job openings in Ontario as of August 2026, with employment types broken down into 10% Internship, 47% Full Time, 33% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,352 per year, or $26.1 per hour.

Applied AI Scientist - Generative AI & Agentic Systems

BMO Capital Markets

Toronto, ON

CA$67K - CA$124K/yr

Full-time

Medical, Life, Retirement

Posted 13 days ago


Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

About the Role

We are seeking a highly motivated Applied AI Scientist who is passionate about Generative AI and modern software engineering. This role offers an exciting opportunity to build enterprise AI solutions while helping shape industry-leading practices for the validation and governance of Generative AI and Agentic AI systems in a highly regulated environment.

The successful candidate will join the Model Risk Management group and report to the Director, Generative and Agentic AI Model Validation.

This position is well suited for an early-career AI professional or a recent Master's or PhD graduate with strong coding skills, research or project experience, curiosity, and a passion for emerging AI technologies.

Key Responsibilities

  • Validate the effectiveness of Generative AI models and Agentic AI systems across multiple dimensions, including conceptual soundness, output quality, agentic workflow, robustness, and alignment with governance and audit requirements.
  • Research and develop new methodologies for validating emerging Generative AI technologies.
  • Design and build enterprise AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to improve business processes.
  • Develop scalable software solutions, AI tools, and automation capabilities using modern AI frameworks and cloud technologies.
  • Work closely with business stakeholders to understand problems and translate them into practical AI solutions.
  • Design, execute, and document quantitative testing and evaluation of AI models and applications.
  • Maintain organized project documentation, technical specifications, testing evidence, and validation artifacts to support governance and audit readiness.
  • Continuously evaluate emerging AI technologies and identify opportunities to improve existing solutions and validation approaches.

Required Qualifications

  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or another STEM discipline.
  • Strong programming skills in Python with the ability to develop scalable, well-structured applications.
  • Hands-on experience with Python libraries and frameworks commonly used for AI application development, data processing, API integration, and software engineering (e.g., NumPy, Pandas, Requests, FastAPI, Pydantic, or similar).
  • Familiarity with modern software development practices, including Git, version control, testing, and code reviews.
  • Understanding of machine learning fundamentals and experience applying quantitative analysis techniques.
  • Hands-on experience or academic projects involving Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or related technologies.
  • Familiarity with cloud AI platforms, modern AI development frameworks, or enterprise AI tools is an asset.
  • Ability to learn new technologies quickly and adapt to a rapidly evolving AI landscape.
  • Strong analytical thinking, curiosity, and problem-solving skills.
  • Self-motivated with a strong sense of ownership, attention to detail, and a risk and control mindset.
  • Inquisitive by nature, willing to challenge assumptions, ask thoughtful questions, and continuously improve existing processes.

Who You Are

We're looking for someone who:

  • Loves building software and AI applications.
  • Is excited by the rapid evolution of Generative AI.
  • Learns new technologies quickly and enjoys experimenting with them.
  • Is self-motivated and proactive.
  • Has strong coding skills and enjoys solving complex technical problems.
  • Thinks critically and approaches problems with curiosity.
  • Works well in collaborative, multidisciplinary teams.
  • Is interested in shaping the future of responsible AI adoption in financial services.

Salary:

$67,200.00 - $124,200.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.