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Artificial Intelligence Machine Learning Physics Jobs in Toronto, ON

Clio

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... use artificial intelligence to improve all of our operations. In recruitment, AI helps us ...

Qualcomm

AI System/Hardware Architect

Markham, ON · On-site

We are searching for a season AI Systems Architecture Engineer to be part of the Qualcomm AI Processor team responsible for analyzing and developing Artificial Intelligence / Machine Learning ...

Td

Research Machine Learning Scientist

Toronto, ON

CA$140K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $140,000 - $250,000 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $170,000 - $250,000 CAD The pay details ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

Td

Applied Machine Learning Scientist II

Toronto, ON

CA$125K - CA$154K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $125,500 - $154,000 CAD The pay details ... We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In ...

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All JobsArtificial Intelligence Machine Learning Physics JobsArtificial Intelligence Machine Learning Physics Jobs in Toronto, ON

Artificial Intelligence Machine Learning Physics information

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Toronto, ON?

For Artificial Intelligence Machine Learning Physics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Toronto, ON look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Toronto, ON are:

Artificial Intelligence Machine Learning Physics jobs near you
Infographic showing various Artificial Intelligence Machine Learning Physics job openings in Toronto, ON as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Temporary. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Artificial Intelligence Security Architect

Levio

Toronto, ON • Hybrid

CA$110K - CA$150K/yr

Full-time

PTO

Re-posted 2 days ago

Job description

Are you looking to thrive in a stimulating work environment? 

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongsidehigh-caliberprofessionals on ambitious, large-scale technology projects, directly embedded in our clients' environments. At Levio, we valueexpertise, curiosity, and continuous improvement - and we give you the space to grow. 

About the Role
We are seeking Artificial Intelligence Security Architect to contribute to major projects. 

The Artificial Intelligence Security Architect is responsible for defining the security architecture, governance, and risk management frameworks for AI and machine learning systems across the organization. This senior role ensures AI technologies are designed, deployed, and operated securely, ethically, and in compliance with regulatory requirements. The architect works closely with AI engineering teams, cloud architects, GRC leaders, and executive stakeholders to embed security and trust into AI-driven solutions. The role will be remote.

Why Join Levio? 
  • Work on complex,high impactdigital transformation projects 
  • Collaboratewithexperienced,multidisciplinaryteams 
  • Continuously develop your technical and professionalexpertise 
  • Enjoy flexibility, autonomy, and a strongpeople firstculture 
  • Be part of an organization that values diversity, inclusion, and innovation 
Role and Responsibilities

AI Security Architecture & Strategy 

  • Define enterprise AI security architecture and guardrails. 
  • Establish secure reference architectures for AI platforms, models, and data pipelines. 
  • Design controls to mitigate AI-specific threats (model abuse, data poisoning, adversarial attacks). 
  • Align AI security strategy with Zero Trust and defense-in-depth principles. 

AI Governance, Risk & Compliance 

  • Architect AI governance frameworks aligned with NIST AI RMF, ISO standards, and regulatory requirements. 
  • Define AI risk classification, impact assessment, and control baselines. 
  • Support AI auditability, explainability, transparency, and accountability. 

Secure MLOps & Cloud AI 

  • Architect secure MLOps pipelines with integrated security controls. 
  • Define access, identity, secrets management, and logging for AI platforms. 
  • Ensure secure use of third-party and open-source AI models. 

Data Security & Privacy for AI 

  • Define data protection architecture for AI datasets and outputs. 
  • Ensure compliance with privacy laws (GDPR, Law 25, PIPEDA). 
  • Architect anonymization, encryption, and data governance mechanisms. 

Advisory & Leadership 

  • Act as senior advisor on AI security and trust. 
  • Mentor analysts and guide AI engineering teams. 
  • Communicate AI risks and mitigation strategies to executives and boards. 
Qualifications and Experience
  • Deep understanding of AI/ML architectures and lifecycle. 
  • Strong knowledge of AI security threats and mitigations. 
  • Expertise in cloud AI platforms and secure cloud architecture. 
  • Strong background in cybersecurity architecture and risk management. 
  • Familiarity with AI governance and ethical AI frameworks
  • CISSP, ISO 27001 Lead Implementer, NIST AI RMF Practitioner, CCSP (Cloud Security), AI governance or ethics certifications (an asset)
Compensation (Ontario)  

The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. 

Estimated salary range: $110,000 to $150,000 per year. 

This posting is a current hiring need.

Benefits and Work Environment 

Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including: 

  • 4 weeks of cumulative vacation starting from day one 
  • Flexibleworkinghours 
  • Professional Development Allowance (PDA) for training, computer equipment, and physical activities 
  • Training tailored to your areas of expertise 
  • Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary 
  • Modulargroupinsuranceplan 
  • Public transportation or parking reimbursement whenrequired 
  • Referralbonuses 
  • 11statutoryholidays 
  • Personaldays 
  • An active social life (5to7 events, social club, healthy snacks, coffee, and more) 

Position Details

  • Employmenttype:Full time, permanent

Notice on the Use of Artificial Intelligence in Recruitment 

We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter. 

Employment Equity 

Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. 

We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidatesparticipatingin all aspects of the selection process. 

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