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Entry Level Data Scientist Machine Learning Jobs in Toronto, ON

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Graduate degree in Computer Science with a strong background in machine learning required. * Strong problem-solving abilities, solid background in algorithms and data structures required. * Strong ...

Intact Financial

Data Scientist II

Toronto, ON · On-site

Build,validate, and deliver analytics and machine learning solutions that translate complex data ... Maintain and improve data science tools and platforms, helping ensure efficiency, reliability, and ...

NTENT

Machine Learning Engineer

Toronto, ON · On-site

$80 - $120/hr

Graduate degree in Computer Science with a strong background in machine learning required. * Strong problem-solving abilities, solid background in algorithms and data structures required. * Strong ...

Intact Financial

Data Scientist II

Ajax, ON · On-site

Build,validate, and deliver analytics and machine learning solutions that translate complex data ... Maintain and improve data science tools and platforms, helping ensure efficiency, reliability, and ...

Intact Financial

Data Scientist II

Mississauga, ON · On-site

Build,validate, and deliver analytics and machine learning solutions that translate complex data ... Maintain and improve data science tools and platforms, helping ensure efficiency, reliability, and ...

illumin

Data Scientist

Toronto, ON · On-site

In this role, you will apply statistical modelling, machine learning, experimentation, and applied ... As part of a small Data Science team within a publicly traded, product-led company, you will help ...

Dayforce

Sr. Engineer, Machine Learning

Toronto, ON · On-site

$100 - $130/hr

As a Senior Machine Learning Engineer, you will work on delivering ML components for innovative ... Collaborate with cross-functional teams including software developers, data scientists, data ...

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

As a Research Machine Learning Scientist, you will * Join a world-class team of machine learning researchers with an extensive track record in both academia and industry. * Research, develop, and ...

HelloFresh

Senior Data Scientist, Growth

Toronto, ON · On-site

... Data Scientist in AdTech, you will design, build, and deploy production-grade machine learning ... Develop, build, and iterate on advanced machine learning models across core adtech domains to ...

Socotra, Inc.

Machine Learning Engineer

Toronto, ON · On-site

$118.80 - $148.50/hr

Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the ... Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from ...

Walmart

Senior, Data Scientist

Mississauga, ON

CA$91K - CA$126K/yr

Experience applying advanced analytics, machine learning, statistical modeling, or optimization ... data science solutions. * Strong communication and storytelling skills, with the ability to explain ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Minimum three years of experience delivering major data science projects in large, complex ... Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture ...

Td

Applied Machine Learning Scientist I

Toronto, ON · Remote

CA$105K - CA$125K/yr

About the Role We're looking for a highly motivated Applied Machine Learning Scientist to join our ... In this role, you'll drive the development and deployment of ML solutions that power data-driven ...

Traffix

Machine Learning Engineer

Toronto, ON · On-site

$120 - $180/hr

Introduction As a Machine Learning Engineer I at TRAFFIX you will work with your colleagues to ... This involves taking models created by our data science team and assisting in producing viable ...

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Entry Level Data Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Toronto, ON? The most popular types of Data Scientist Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Toronto, ON? For Entry Level Data Scientist Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Toronto, ON look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Toronto, ON are:
Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

NTENT

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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