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Online Python Programming Jobs in Ontario (NOW HIRING)

Proficiency in Python and the data science ecosystem, including NumPy, pandas, sklearn, spaCy ... In the US or Canada, if you require accommodations or assistance to complete the online application ...

Lead AI Engineer

Toronto, ON ยท On-site +1

High proficiency in Python and the data science ecosystem, including NumPy, pandas, sklearn, spaCy ... In the US or Canada, if you require accommodations or assistance to complete the online application ...

Strong programming skills (Python, Go, or similar) * Experience with ML frameworks (TensorFlow ... Upskilling through online courses, cross-functional development opportunities, and tuition ...

Experience developing large applications (Python and microservice architecture are strongly ... Upskilling through online courses, cross-functional development opportunities, and tuition ...

Hands-on programming experience with Ansible, Python scripting, Shell scripting, and Windows batch ... Upskilling through online courses, cross-functional development opportunities, and tuition ...

... Python) * Troubleshoot, debug, and help optimize application performance * Follow development best ... Upskilling through online courses, cross-functional development opportunities, and tuition ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

Experience using Cloud Dataflow using Java/Python for deploying streaming jobs in GCP as well as ... Upskilling through online courses, cross-functional development opportunities, and tuition ...

Experience using Cloud Dataflow using Java/Python for deploying streaming jobs in GCP as well as ... Upskilling through online courses, cross-functional development opportunities, and tuition ...

... online presence needs. The strength of our company lives in the intersection of our people, our ... Strong experience with cloud data platforms, distributed data processing, SQL and Python ...

... Python, GoLang and Bash scripts * Familiar with enterprise logging and monitoring tools like ... Upskilling through online courses, cross-functional development opportunities, and tuition ...

... online presence needs. The strength of our company lives in the intersection of our people, our ... Strong experience with cloud data platforms, distributed data processing, SQL and Python ...

... online privacy for all. Right now we are looking for a Site Reliability Engineer to help us tame ... Write Python scripts for automation * Use your comprehensive understanding of DNS to troubleshoot ...

... Online with a focus on integration with Power Platform * Strong understanding of Dataverse, APIs, connectors, and integration strategies * Programming proficiency with Databricks and Python

... Online with a focus on integration with Power Platform * Strong understanding of Dataverse, APIs, connectors, and integration strategies * Programming proficiency with Databricks and Python

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Online Python Programming information

See Ontario salary details

$21K

$90.7K

$158.5K

How much do online python programming jobs pay per year?

As of May 30, 2026, the average yearly pay for online python programming in Ontario is $90,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Online Python Programmer, and why are they important?

To excel as an Online Python Programmer, you need strong proficiency in Python programming, a solid understanding of algorithms, and experience with web frameworks or data libraries, often supported by a relevant degree or coding certifications. Familiarity with tools like Git, Jupyter Notebook, Django, Flask, and cloud platforms is commonly required. Exceptional problem-solving abilities, clear communication, and self-motivation are vital soft skills for remote collaboration and independent work. These capabilities ensure high-quality, maintainable code and effective teamwork in virtual environments.

What are some typical challenges faced by online Python programming instructors, and how can I prepare for them?

Online Python programming instructors often encounter challenges such as engaging students remotely, adapting teaching materials for virtual platforms, and addressing a wide range of experience levels. To prepare, it's helpful to develop interactive lesson plans, utilize screen-sharing and collaborative coding tools, and set clear communication channels for student support. Staying organized and proactive in providing feedback can also help ensure students remain motivated and on track throughout the course.

What is online Python programming?

Online Python programming refers to the practice of coding, running, and debugging Python programs through web-based platforms or cloud environments, rather than using local software on your computer. This allows users to write and execute Python code from anywhere with an internet connection, often leveraging collaborative tools, pre-configured environments, and integrated resources. Many platforms also offer interactive tutorials, code sharing, and project management features, making it easier to learn and work with Python online.

What is the difference between Online Python Programming vs Data Analyst?

AspectOnline Python ProgrammingData Analyst
Required SkillsPython, coding, problem-solvingData interpretation, Excel, SQL, Python (optional)
Work EnvironmentOnline, remote, self-paced learningOffice or remote, data-focused tasks
Industry UsageProgramming, software development, automationBusiness, finance, marketing, research

Online Python Programming primarily involves learning and practicing Python coding skills, often in a self-paced online setting. Data Analysts use Python as a tool to analyze data, but their role also includes interpreting data insights and reporting. While both roles may overlap in Python skills, Online Python Programming focuses on coding proficiency, whereas Data Analysts focus on data-driven decision-making.

What are the most commonly searched types of Python Programming jobs in Ontario? The most popular types of Python Programming jobs in Ontario are:
What are popular job titles related to Online Python Programming jobs in Ontario? For Online Python Programming jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Online Python Programming jobs in Ontario look for? The top searched job categories for Online Python Programming jobs in Ontario are:
Infographic showing various Online Python Programming job openings in Ontario as of May 2026, with employment types broken down into 1% Internship, 69% Full Time, 24% Part Time, 5% Contract, and 1% Nights. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $90,650 per year, or $43.6 per hour.
Senior AI Engineer

Senior AI Engineer

MasterCard

Toronto, ON โ€ข On-site, Remote

Full-time

Posted 27 days ago


Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior AI EngineerOverview
We are looking for a talented Senior AI Engineer to work with our Foundry Research and Development team to build innovative products delivered at scale to global markets.
Role
Contributes to the design and development of scalable AI/ML systems and solutions to address complex business needs, ensuring adherence to best practices.
Implements models into production environments, designing scalable training pipelines and deployment frameworks.
Ensures operational stability and scalability of AI systems, contributing to the organization's AI infrastructure and ethical standards.
Automates workflows for model training, testing, deployment, and updates, following CI/CD best practices.
Assists with the building and refining of data ingestion, preprocessing, and feature engineering workflows to support model training and inference.
Conducts hyperparameter tuning and validation to meet targeted performance metrics, ensuring robustness and efficiency for AI/ML models.
Monitors model performance, manages versioning, and updates models to maintain high-quality outputs.
May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the AI Engineering area.
All About You:
Multiple years of relevant experience in AI and Data Science.
Enjoy building innovative solutions in a collaborative, fast-paced environment.
Possess advanced knowledge of modern software engineering principles and methodologies.
Be passionate about code quality and software engineering best practices.
Demonstrate initiative and a willingness to take on complex, challenging problems.
Exhibit excellent verbal and written communication skills with strong collaboration abilities.
Be highly motivated, driven, and a strong team player.
Be able to work independently, make sound decisions, and solve problems with minimal supervision.
Skills
Strong experience building Agentic AI applications using frameworks such as LangGraph, CrewAI, and AutoGen, with solid understanding of Agentic AI design patterns, Context Management, LLMOps, AgentOps, Guardrails, Agent Validation, and Evaluation.
Hands-on experience with prompt engineering and working with both closed-source and open-source LLMs.
Experience applying RAG, few-shot prompting, LLM fine-tuning, and hybrid approaches to improve model context and performance.
Good working knowledge of MLOps tools, including MLflow.
Hands-on experience with LLM fine-tuning techniques.
Strong experience with Retrieval Augmented Generation (RAG), vector databases, and semantic search.
Proven experience designing and maintaining CI/CD pipelines to automate integration, testing, and deployment, ensuring reliable and high-velocity delivery.
Proficiency in Python and the data science ecosystem, including NumPy, pandas, sklearn, spaCy, Keras, PyTorch, Transformers, and LangGraph.
Strong understanding of Machine Learning, Deep Learning, and NLP concepts and models across supervised and unsupervised learning.
Working knowledge of Python-based API frameworks such as FastAPI, with comfort handling JSON-based services.
Thorough understanding of PySpark with a conceptual understanding of parallel and distributed processing for large-scale data.
Experience using Unix/Linux commands to access systems, manage databases, and deploy and operate services and APIs.
Working knowledge of cloud platforms such as Azure and experience using cloud-native services.
Working knowledge of Databricks is a plus.
#AI1Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.

Pay Ranges

Toronto, Canada: $111,000 - $160,000 CAD