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Machine Learning Finance Jobs in Ontario (NOW HIRING)

Applied Machine Learning Scientist I

Toronto, ON · On-site +1

CA$105K - CA$125K/yr

We're looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In ... Experience working in financial services or regulated environments * Familiarity with causal ...

Applied Machine Learning Scientist I

Toronto, ON · On-site +1

CA$105K - CA$125K/yr

About the Role We are looking for a highly motivated Applied Machine Learning Scientist to join the ... Experience working in financial services or regulated environments * Exposure to GenAI or large ...

The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the ... Experience in financial services, pensions, asset management, or related domains. * Bachelor ...

Showing results 21-40

Machine Learning Finance information

See Ontario salary details

$22K

$115.8K

$214.5K

How much do machine learning finance jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning finance in Ontario is $115,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are popular job titles related to Machine Learning Finance jobs in Ontario?

For Machine Learning Finance jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Machine Learning Finance job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $115,779 per year, or $55.7 per hour.

Quantum Machine Learning Research Scientist

Toronto, ON • On-site, Remote

Full-time

Retirement

Posted 13 days ago


Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

As a Quantum Machine Learning Research Scientist, you will play a key individual contributor role within CIBC's Advanced Analytics and AI team, driving the development and application of quantum computing capabilities across the bank. You will lead applied research initiatives focused on designing, executing, and evaluating quantum algorithms, working closely with researchers, engineers, and business stakeholders to explore real-world use cases in areas such as fraud, cybersecurity, and optimization. You will contribute to advancing quantum research while translating complex concepts into practical insights, helping shape how emerging technologies can be leveraged within a banking environment. This role requires a strong balance of technical depth, hands-on experimentation, and the ability to communicate findings to both technical and non-technical audiences.


At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.


How you'll succeed

  • Applied Research & Experimentation - Design, implement, and execute quantum computing experiments and proof-of-concepts, translating theoretical research into practical, testable outcomes aligned to business needs.
  • Quantum Expertise - Apply deep knowledge of quantum computing principles and algorithms to solve complex computational problems, with a focus on real-world applicability within financial services.
  • Collaboration & Influence - Work closely with AI researchers, machine learning engineers, developers, and domain experts across business units (e.g., fraud, cybersecurity) to co-develop and evaluate innovative solutions.
  • Communication & Translation - Clearly articulate complex quantum concepts and research findings to a broad audience, including senior leadership, enabling informed decision-making.
  • Innovation Mindset - Stay current with advancements in quantum computing and contribute to original research while identifying opportunities to apply emerging capabilities within the organization.

Who you are

  • You can demonstrate knowledge and experience in. quantum computing. You bring strong expertise in quantum computing concepts, algorithms, and programming frameworks, with hands-on experience in designing and executing experiments. You have experience translating theoretical research into practical experimentation or real-world applications, ideally within industry or applied research settings. You are proficient in programming and comfortable working with tools and frameworks such as Python, Qiskit, Cirq, Ocean, or Q#, and can collaborate effectively with engineering teams to execute experiments. You understand machine learning concepts and have a working knowledge of machine learning principles and can articulate how they intersect with quantum computing.
  • You have a PhD in. physics, computer science, mathematics, or a related field, with a focus on quantum computing or closely related disciplines.
  • Your influence makes a difference. You are able to translate complex technical concepts into clear, concise insights for non-technical stakeholders, including senior leaders. You're motivated by collective success.
  • You love to learn. You thrive in a research-driven environment, are open to learning across domains, and are motivated to explore how emerging technologies can create business value.
  • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.

  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Artificial Intelligence Algorithms, Big Data Technologies, Critical Thinking, Data Analysis, Data Manipulation, Data Visualization, Deep Learning, Generative AI, Information Theory, Machine Learning (ML), Machine Learning Algorithms, Natural Language Processing (NLP), PL/SQL (Programming Language), Python (Programming Language), PyTorch, Qiskit, Quantum Computing, Quantum Information Theory, Quantum Mechanics, Quantum Optimization, Shell Scripting, Statistical Analysis