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Python Artificial Intelligence Jobs in Toronto, ON

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Proficiency in at least one modern programming language (e.g., Python, JavaScript, Java ... Use of Artificial Intelligence in Recruitment As part of our recruitment and selection process, we ...

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $96,900 - $136,800 CAD TD is committed ... Use Python, SQL, Power BI, Databricks, Visual Studio Code and AI enabled capabilities to automate ...

Experience in full stack application development with strong expertise in Python and Java Deep ... artificial intelligence, for our legitimate business interests (or our reasonable and appropriate ...

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $96,900 - $136,800 CAD TD is committed ... Advanced proficiency in Power BI, SQL and Python programming skills. * Hands-on experience with ...

Strong experience with Python development. * Experience with JavaScript, Node.js and related ... Undertakes the development, configuration, implementation and support of Artificial Intelligence ...

Lead complex Azure Data Factory, Azure SQL, Power BI, Logic App and Python development. * Establish ... AI Disclosure: [ dentsu ] utilizes artificial intelligence tools as part of its recruitment process ...

Data Engineer

Toronto, ON · On-site +1

Python (3+ years of hands-on experience) * Pandas (Advanced) * NumPy (Advanced) * SQL Data ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

Showing results 21-40

Python Artificial Intelligence information

See Toronto, ON salary details

$27.2K

$123.2K

$205.7K

How much do python artificial intelligence jobs pay per year?

As of Sep 11, 2026, the average yearly pay for python artificial intelligence in Toronto, ON is $123,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,890.00 and $153,648.00 per year, depending on experience, location, and employer.

What is a Python artificial intelligence specialist?

A Python Artificial Intelligence (AI) specialist is a professional who uses the Python programming language to design, develop, and implement AI systems and solutions. Their work often includes building machine learning models, natural language processing applications, and neural networks using popular Python libraries such as TensorFlow, PyTorch, and scikit-learn. They play a critical role in analyzing data, automating tasks, and creating intelligent software that can learn and adapt over time. These specialists are in demand across industries like healthcare, finance, and technology, where AI-driven insights and automation are valuable.

What are the key skills and qualifications needed to thrive as a Python artificial intelligence engineer, and why are they important?

To excel as a Python Artificial Intelligence Engineer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or computer science. Familiarity with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Critical thinking, problem-solving abilities, and effective communication skills help you interpret data, design solutions, and collaborate with cross-functional teams. These skills are crucial for developing robust AI models, efficiently handling complex data, and delivering impactful technological solutions.

What are some common challenges faced by Python artificial intelligence developers when working on production-level AI systems?

Python Artificial Intelligence developers often encounter challenges such as ensuring code scalability, optimizing model performance, and handling large datasets efficiently. Integrating AI models into existing production systems can also be complex, especially when coordinating with DevOps and software engineering teams to maintain reliability and uptime. Additionally, staying updated with rapidly evolving libraries and frameworks, and balancing experimentation with project deadlines, are typical hurdles. Collaborating closely with data scientists, product managers, and engineers is essential for overcoming these challenges and delivering robust AI solutions.

What is the difference between Python Artificial Intelligence vs Data Scientist?

AspectPython Artificial IntelligenceData Scientist
Required CredentialsProficiency in Python, AI frameworks, machine learning certificationsDegree in Data Science, Statistics, or related fields; Python skills often required
Work EnvironmentTech companies, research labs, AI startupsBusiness analytics, finance, healthcare, tech firms
Employer & Industry UsageDeveloping AI models, automation, machine learning applicationsData analysis, predictive modeling, data visualization
Search & Comparison IntentFocus on AI development using PythonFocus on data analysis and insights

Python Artificial Intelligence specialists focus on developing AI models and automation using Python, often working in tech and research environments. Data Scientists analyze data to extract insights, frequently utilizing Python as a tool. While both roles require Python skills, AI roles emphasize machine learning and AI frameworks, whereas Data Scientists focus on data analysis and visualization.

Infographic showing various Python Artificial Intelligence job openings in Toronto, ON as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,164 per year, or $59.2 per hour.

Senior AI Scientist, Advanced Analytics & AI

Toronto, ON • Hybrid

Full-time

Retirement

Posted 14 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

The Enterprise Advanced Analytics and Artificial Intelligence team is CIBC's centre of AI excellence, leading the way in applying best practices across artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) using the latest technology and platforms. We collaborate with leading academic institutions to promote the exchange of ideas, enrich our talent, and support every stage of the research life cycle; from academic partnerships to production-ready systems. We work closely with product, technology, and business partners to bring state-of-the-art AI solutions to life across the organization. As a member of our team, you'll apply your expertise in advanced modelling to solve complex business challenges and develop innovative solutions. You'll focus on projects within Global Asset Management (GAM) and Wealth Management (WM), working with real-world structured and unstructured datasets. From experimentation to deployment, you'll own end-to-end solutions that drive meaningful impact for our clients and business.

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 2-3 days per week on-site, while other days will beremote.

How you'll succeed

  • Artificial Intelligence Expertise -Provide AI solutions to solve business problem leveraging statistics, machine learning, natural language processing, GenAI, and optimization techniques. Ability to conduct self-directedresearch, typically using non-traditionalresources to solve business problems.
  • Analytical Partner -You will work with GAM and Wealth Management to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus onrelationship building and become the trusted analytical partner.
  • Intellectual Curiosity and Continuous Improvement -Maintain a strong desire to enhance our AI/ML techniques and approaches. Collaborate with data experts to understand data and engineer relevant features. Work effectively with fellow data scientists and engineers to develop data products. Mentor junior team members and offer technical thought leadership.

Who you are

  • You can demonstrate 4-5 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with TensorFlow, PyTorch, Scikit-learn, etc. You have extensive hands-on experience with Python. Proficient in writing SQL/ Spark scripts, developing robust and efficient modular Python code in a non-notebook environment, creating APIs, and working with Git version control tools. You have a strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, as well as model selection, training, and evaluation. Experience with prompt engineering and integrating large language models (LLMs) into data applications, using frameworks like LangChain, LangGraph, Semantic Kernel etc.Solid grasp of statistical concepts, including probability distributions, hypothesis testing, and regression analysis, to interpret data patterns and evaluate model performance. Proficiency with Git for version control, team collaboration, and ensuring code reproducibility.Ability to write clean, maintainable, and scalable code, applying object-oriented programming principles and software design patterns.
  • You know that details matter and have hands-on experience with generative models such as GANs, VAEs, and transformers, and their practical applications. Experience with Azure and Databricks for deploying and scaling AI models would be an asset. Familiarity with containerization technologies like Docker and Kubernetes for large-scale deployment and management of AI applications is also desirable. Knowledge of AI lifecycle management concepts and related tools would be considered an additional advantage.
  • You have a degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, or a related field.
  • Your influence makes a difference. Driven by collective success, recognizing that collaboration can transform a good idea into a great one. Understands the power of an inclusive team that enjoys working together to bring a shared vision to life.
  • 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

Big Data Technologies, Critical Thinking, Data Analysis, Data Manipulation, Data Visualization, Machine Learning (ML), PL/SQL (Programming Language), Python (Programming Language), R Programming, Statistical Analysis