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1,751

Machine Learning jobs in Canada

Vice president, ai engineer

BMO Financial Group

Toronto
On-site
CAD 120,000 - 150,000
30+ days ago
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Vice President, AI Strategy and Change Management

BMO Financial Group

Toronto
On-site
CAD 82,000 - 155,000
30+ days ago

Principal Data Scientist

AutoTrader.ca

Canada
On-site
CAD 120,000 - 160,000
30+ days ago

Senior DevOps Engineer

Datatonic

Montreal (administrative region)
Remote
CAD 80,000 - 100,000
30+ days ago

Data Scientist, Credit Risk

KOHO

Canada
Remote
CAD 80,000 - 100,000
30+ days ago
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Senior data architect, artificial intelligence / aws cloud

BMO Financial Group

Toronto
On-site
CAD 94,000 - 176,000
30+ days ago

Senior Runtime Engineer

Cerebras

Canada
On-site
CAD 90,000 - 120,000
30+ days ago

Senior Consultant - AI Governance

KPMG LLP Canada

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago
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Senior Director / VP - Head of AI Engineering

CommerceIQ

Toronto
On-site
CAD 150,000 - 200,000
30+ days ago

Co-op Researcher - Software Development (Human-Computer Interaction)

Huawei Technologies Canada Co., Ltd.

Markham
On-site
CAD 80,000 - 100,000
30+ days ago

Senior Data Engineer

Datatonic

Montreal (administrative region)
Remote
CAD 110,000 - 140,000
30+ days ago

Data Engineer

Datatonic

Montreal (administrative region)
Remote
CAD 80,000 - 110,000
30+ days ago

AI Engineer

Ace1Media

Vancouver
On-site
CAD 90,000 - 140,000
30+ days ago

Director, Product Engineering

Publicis Groupe Holdings B.V

Toronto
On-site
CAD 120,000 - 150,000
30+ days ago

Senior Applied Scientist, NLP/ML/GenAI

PowerToFly

Toronto
Hybrid
CAD 100,000 - 145,000
30+ days ago

Senior ML Engineer

Lime

Canada
Remote
CAD 100,000 - 130,000
30+ days ago

VP, AI Practice

Toptal

Canada
Remote
CAD 175,000 - 250,000
30+ days ago

Senior ML Engineer: Personalization & Recommendations (Hybrid Toronto)

Tubi Tv

Toronto
Hybrid
CAD 130,000 - 170,000
30+ days ago

Physics Informed AI/ML Researcher

Autodesk

Toronto
On-site
CAD 60,000 - 80,000
30+ days ago

Senior Researcher - Diffusion-Based Large Language Models

Huawei Technologies Canada Co., Ltd.

Montreal
On-site
CAD 100,000 - 140,000
30+ days ago

Researcher – AI/ML

Huawei Technologies Canada Co., Ltd.

Markham
On-site
CAD 80,000 - 120,000
30+ days ago

Senior Research Scientist Construction

Autodesk

Toronto
Hybrid
CAD 80,000 - 100,000
30+ days ago

Cloud Base SAAS Software Solutions – VP Software Engineering

Stonewood Group Inc.

Montreal
On-site
CAD 80,000 - 100,000
30+ days ago

Senior Data Scientist

Geotab

Oakville
Hybrid
CAD 90,000 - 130,000
30+ days ago

Platform Engineer

BRP

Montreal (administrative region)
Hybrid
CAD 85,000 - 110,000
30+ days ago

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Vice President AI Engineer
BMO Financial Group
Toronto
On-site
CAD 120,000 - 150,000
Full time
30+ days ago

Job summary

A leading financial services provider in Toronto is seeking a Data Analyst to utilize machine learning and advanced analytics to derive insights from large data sets. This position requires expertise in data mining, model development, and collaborative strategy formation to enhance business decision-making. Strong analytical skills, along with 5-7 years of relevant experience, are essential. The role offers a competitive salary of CAD 120,000-150,000, along with a comprehensive benefits package.

Benefits

Health insurance
Tuition reimbursement
Retirement savings plans

Qualifications

  • 5-7 years of relevant experience typically required.
  • Strong experience with big data, data visualization, and data preprocessing.
  • Proven analytical and problem-solving skills.

Responsibilities

  • Develop predictive models and leverage big data technology.
  • Conduct analyses to discover business patterns and trends.
  • Provide actionable recommendations to business leaders.

Skills

Mathematics, statistics & operations research
Deep learning
Machine learning
Creative thinking
Critical thinking

Education

Post-secondary degree in a related field

Tools

Big data technologies
Data visualization tools
Programming languages
Job description
Application Deadline
Address

100 King Street West

Job Family Group

Data Analytics & Reporting

Company Overview

BMO Capital Markets is a leading, full-service North American-based financial services provider offering equity and debt underwriting, corporate lending and project financing, merger and acquisitions advisory services, securitization, treasury management, market risk management, debt and equity research and institutional sales and trading. BMO Capital Markets has over 2,700 professionals in 30+ locations around the world, including 20 offices in North America.

BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025.

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

Responsibilities
  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
Qualifications
Intermediate level of proficiency
  • Mathematics, statistics & operations research.
  • Deep learning.
  • Machine learning.
  • Trust, bias and ethics.
  • Creative thinking.
  • Critical thinking.
Advanced level of proficiency
  • Big data.
  • Data visualization.
  • Computational thinking and programming.
  • Data wrangling.
  • Data preprocessing.
  • Creative reasoning.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Influence skills.
  • Data driven decision making.
  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Deep knowledge and technical proficiency gained through extensive education and business experience.
Compensation

Base Salary: $120,000-$150,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary :

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

To find out more visit us at: https://jobs.bmo.com/ca/en

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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