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Junior Ai Machine Learning Python Jobs in Toronto, ON

Thri5 Inc.

AI / Machine Learning Engineer

Toronto, ON · On-site

Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that ... Proficient in Python and familiar with ML frameworks such as PyTorch or TensorFlow. Experience with ...

Omers

Lead, AI/Machine Learning Engineer

Toronto, ON · On-site

The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub for AI ...

Td

Machine Learning Engineer

Toronto, ON · On-site

CA$120K - CA$250K/yr

... junior to senior levels, and will evaluate your application in its entirety. Layer 6 is the AI ... Strong coding proficiency in Python, Java, C, or C++ * You value good software design and sweat ...

Clarius Mobile Health

Machine Learning Engineer

Toronto, ON · Remote

CA$110K - CA$130K/yr

Mastery in Python development with Unix/Linux * Proficiency in TensorFlow and PyTorch * Software ... Where AI tools are used, they are intended to support our recruitment process and do not replace ...

Invision AI

Machine Learning Engineer

Toronto, ON · Hybrid

Our Company Invision AI is building a universal AI platform for computer vision applications ... Strong Python software development skills * Proficiency with frameworks such as PyTorch, TensorFlow ...

Invision AI

Machine Learning Engineer

Toronto, ON · On-site

Our Company Invision AI is building a universal AI platform for computer vision applications ... Strong Python software development skills * Proficiency with frameworks such as PyTorch, TensorFlow ...

Vancity

Machine Learning Engineer Lead

Toronto, ON · Remote

As a Machine Learning Engineer Lead, you will join our Data Science & AI Pod, focused on designing ... Developing production-quality Python code, APIs, automation workflows, and machine learning ...

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Junior Ai Machine Learning Python information

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Toronto, ON?

For Junior Ai Machine Learning Python jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Junior Ai Machine Learning Python jobs in Toronto, ON look for?

The top searched job categories for Junior Ai Machine Learning Python jobs in Toronto, ON are:

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Generative AI & Machine Learning Developer

Toronto, ON • Remote

Veracity Ventures Inc.
See more jobs at Veracity Ventures Inc.external

Full-time

Posted 19 days ago

Job description

Generative AI & Machine Learning Developer
Location: Canada – Fully Remote
Experience: 0–9 Years
Employment Type: Full-Time
Position Overview
We are seeking a motivated Generative AI & Machine Learning Developer to contribute to the design, development, and implementation of AI-driven solutions. Candidates with strong academic, internship, project, or professional experience are encouraged to apply.
Key Responsibilities
  • Develop and integrate Generative AI and Machine Learning solutions using Python.
  • Work with Large Language Models (LLMs), prompt engineering, and AI workflows.
  • Build and integrate AI-powered applications, APIs, and data pipelines.
  • Perform data preparation, model evaluation, testing, and optimization.
  • Collaborate with technical teams to develop scalable and reliable AI solutions.
Required & Preferred Skills
  • Strong foundation in Python, Machine Learning, AI, and Generative AI/LLMs.
  • Knowledge of NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with RAG, LangChain, NLP, Vector Databases, or AI Agents is preferred.
  • Exposure to LLM APIs, REST APIs, Git/GitHub, and AWS/Azure/GCP is an advantage.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Eligibility
  • 0–9 years of relevant experience; freshers and recent graduates are welcome.

  •  Canadian Permanent Residents (PR) and valid Canadian Open Work Permit (OWP) holders only. 
  • Employer sponsorship is not available.

  • Location: Fully Remote – Canada.

This is a remote position.