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Physics Informed Machine Learning Jobs in Ontario

Det Norske Veritas

Product Manager

Toronto, ON

These products deliver high-accuracy solar and wind power forecasts , leveraging advanced physics-based models, machine learning, and global weather data to enable better operational, trading, and ...

CMR University

Professor & HOD, Artificial Intelligence & Machine Learning (AI & ML) * HOD, ECE * Assistant ... Basic Sciences (Physics/Chemistry/Mathematics) For details please click on Qualifications and ...

Morson Talent

26-017 - AI Developer

Oshawa, ON · Hybrid

$85 - $110/hr

The role also includes implementing machine learning operations practices to ensure reliable ... physics, or a related technical discipline. An advanced degree in a related field is considered an ...

BMO Capital Markets

Manager, Data Science

Toronto, ON · Hybrid

CA$82K - CA$154K/yr

Develops prediction systems and machine learning algorithms. Investigates additional technologies ... and risk informed decisions that align to business strategy, protect assets, and adhere to ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering ... Hands-on experience with machine learning techniques, including supervised and unsupervised ...

Hibernian General Insurance

Data Scientist

Markham, ON · On-site

CA$80K - CA$120K/yr

Apply statistical, machine learning, and data science techniques to improve risk measurement ... Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Physics ...

BMO Capital Markets

Senior Data Scientist

Toronto, ON

CA$103K - CA$192K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning ... and risk informed decisions that align to business strategy, protect assets, and adhere to ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON

CA$90K - CA$120K/yr

Model and design databases and data architectures to support advanced analytics, machine learning ... Qualifications Bachelor's or Graduate degree in Engineering, Computer Science, Mathematics, Physics ...

BMO Capital Markets

Senior Data Scientist

Toronto, ON · On-site

CA$103K - CA$192K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning ... and risk informed decisions that align to business strategy, protect assets, and adhere to ...

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Physics Informed Machine Learning information

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 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 is a Physics Informed Machine Learning job?

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Product Manager

Det Norske Veritas

Toronto, ON

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

DNV is seeking a Product Manager to lead a portfolio of power forecasting products used by energy operators, traders, and asset owners globally. 

These products deliver high-accuracy solar and wind power forecasts, leveraging advanced physics-based models, machine learning, and global weather data to enable better operational, trading, and planning decisions. 

This role combines end-to-end product ownership with a strong focus on AI-led product innovation, including the evolution of forecasting workflows into AI-native and agentic experiences. 

You will operate at the intersection of: 

  • Renewable energy systems 

  • Data science and machine learning 

  • API-first digital products 

  • AI-enabled workflow automation 

What You'll Do 

Product Ownership & Strategy 

  • Own product vision, roadmap, and lifecycle for power forecasting products 
  • Define and execute product strategy aligned with customer needs and market dynamics 
  • Drive commercial performance, including pricing, packaging, and positioning 

Product Development 

  • Identify and deliver novel power forecasting capabilities that leverage the best of physical and AI modeling techniques to deliver unique customer value 
  • Design and implement agentic workflows that automate forecasting, diagnostics, and optimization tasks 
  • Translate new AI/ML capabilities into clear, scalable product features and user value 
  • Partner with data science teams on model development, validation, and performance monitoring from inception to full commercialization 

Execution & Delivery 

  • Manage product backlogs, releases, and priorities in collaboration with engineering teams 
  • Define requirements and acceptance criteria; lead product validation and iteration 
  • Use data and experimentation to continuously improve product performance 

Customer & Stakeholder Engagement 

  • Conduct customer discovery and workflow analysis 
  • Engage directly with customers to understand operational and trading use cases 
  • Support go-to-market activities, including sales enablement and product positioning 

Cross-Functional Leadership 

  • Collaborate across engineering, data science, UX, and commercial teams 
  • Align stakeholders and drive execution across a distributed, global organization 
  • Contribute to best practices for product management within GDP 

What is required 

  • Bachelor's degree in engineering, data science, atmospheric science, or a related field 
  • 5+ years of product management experience in digital, data, or SaaS products 
  • Experience managing products across the full lifecycle 
  • Strong analytical and problem-solving skills in data-driven environments 
  • Strong written and verbal English communication skills
  •  We conduct pre-employment background screening
     

*Immigration-related employment benefits, for example visa sponsorship, are not available for this position* 

Preferred Qualifications 

  • Master's degree in engineering, data science, atmospheric science, or a related field 
  • Experience in renewable energy, power markets, or forecasting domains 
  • Experience with APIs, data platforms, or developer-focused products 
  • Working knowledge of machine learning concepts and AI-driven product development 

An AI Product Mindset 

  • Experience or strong interest in AI-powered products and workflows 
  • Exposure to agentic tools or workflow automation systems is strongly preferred 

Who You Are 

  • A customer-focused and outcomes-driven product leader 
  • Comfortable operating in technically complex, data-intensive domains 
  • Able to balance strategic thinking with hands-on execution 
  • Energized by building AI-first products and intelligent systems 
  • Passionate about contributing to the energy transition 
 
  • Generous paid time off (vacation, sick days, company holidays, personal days)
  • Medical, Dental, and Vision benefit plans available to all employees
  • Special programs - Employee Assistance Program and accident and critical illness options for you and your family
  • Workplace strategies for mental help resources available to all employees
  • Registered Retirement Savings Plan (RRSP) with company match
  • Company provided life insurance, short-term, and long-term disability benefits
  • Education Assistance Program
  • Flexible work schedule with hybrid opportunities
  • Consumer discounts and rewards through our BenefitsHub
  • Advancement opportunities


**Benefits may vary based on position, tenure, location, and employee election


DNV is a proud equal-opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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