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Junior Ai Machine Learning Python Jobs in Toronto, ON

Td

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$170K - CA$250K/yr

Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading ... Strong coding proficiency in Python, Java, C, or C++ * You value good software design and sweat ...

Boson AI

Machine Learning Engineer - Enterprise

Toronto, ON · On-site

CA$150K - CA$400K/yr

At Boson AI, we are not just building AI solutions; we are pioneering the future of enterprise AI ... Proficiency in programming languages (e.g., Python, Rust, TypeScript or Go) and relevant ML ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry ... Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus * A track ...

Clio

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ...

Td

Applied Machine Learning Scientist II

Toronto, ON · On-site

CA$125K - CA$154K/yr

Technical Competencies Proficiency in Python and modern machine learning frameworks and tools. Experience developing, evaluating, and deploying machine learning and Generative AI solutions. Strong ...

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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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Researcher

Royal Bank of Canada

Toronto, ON

Full-time

Re-posted 12 days ago

Job description

Job Description

RBC Borealis is looking for an enthusiastic Senior Machine Learning Researcher who's excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. As a Senior Machine Learning Researcher, you'll be part of a collaborative team delivering AI projects end to end, covering everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products.
At RBC Borealis you'll be joining a team that works directly with leading researchers in machine learning; and you'll have access to rich and massive datasets and to the computational resources that support cutting-edge machine learning R&D.
Your responsibilities include:
  • Drive Research Strategy: Formulate and lead independent research projects that solve complex, high-impact problems. Define success metrics aligned with both business goals and scientific rigor;
  • Design & Implement ML Solutions: Architect and deploy scalable ML systems and algorithms. Provide technical guidance to cross-functional teams on implementation and optimization;
  • Build Organizational Expertise: Mentor junior researchers and engineers. Review research outputs, disseminate knowledge, and foster a culture of innovation;
  • Establish Thought Leadership: Author peer-reviewed publications, present at top-tier conferences (NeurIPS, ACL, EMNLP, etc.), and position the organization as an AI research leader;
  • Advise Leadership: Synthesize complex technical and business considerations. Provide clear, actionable recommendations on high-stakes decisions with significant financial or operational impact;
  • Cultivate Strategic Relationships: Build trusted partnerships across teams and external collaborators to deliver measurable value and shape organizational direction.
You're our ideal candidate if you have:
  • A Ph.D. degree in Computer Science or a related technical field;
  • 2+ years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
  • Deep expertise in machine learning; LLM and NLP experience a plus;
  • Track record of delivering high-impact ML products from concept to production
  • Experience mentoring junior technical talent;
  • Exceptional communication skills-able to translate complex ideas for diverse audiences;
  • A history of high-quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
What's in it for you?
Join a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

Job Skills

Collaboration, Communication, Computer Programming, Data Science, Large Language Models (LLMs), Machine Learning (ML)

Additional Job Details

Address:

401 GEORGIA ST W:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-06

Application Deadline:

2026-10-05

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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