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Physics Informed Machine Learning Jobs in Ontario

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Ottawa, ON

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

... Physics, or a related quantitative field. * 5+ years of hands on industry experience in developing probabilistic models, analytics, and machine learning algorithms, including real world experience of ...

Hibernian General Insurance

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ...

Hibernian General Insurance

Data Scientist

Toronto, ON

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ...

Spaceium

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

You will work at the intersection of robotics, machine learning, and space systems, building AI ... Create simulation environments (including physics/robotics simulators) for training and validating ...

Larus Technologies

Data Scientist

Ottawa, ON · On-site

We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics ... Physics, Economics, Computer Science, etc.); * Master's or Ph.D. is considered an asset; * 2+ years ...

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Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Ontario?

For Physics Informed Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Ontario look for?

The top searched job categories for Physics Informed Machine Learning jobs in Ontario are:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 6% Internship, 37% Full Time, 51% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Data Scientist

Targeted Talent

Kitchener, ON • On-site

$80K - $100K/yr

Full-time

Medical, Dental, PTO

Re-posted 6 days ago

Job description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg. Our client is a global enterprise company with a product that you've likely used.
The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

  • A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
  • 1-2 years' experience developing solutions and working with Python
  • Confident extracting and manipulating data from SQL and noSQL stores
  • Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

  • Competitive Salary
  • Individual performance bonus
  • Health and dental benefits
  • 3 weeks’ vacation
  • Relocation Package
* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.
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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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