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Director Data Analyst Machine Learning Jobs in Toronto, ON

Lead Machine Learning Engineer

Toronto, ON · Remote

$225K - $260K/yr

This includes ensuring data is efficiently loaded, distributed, and processed across large GPU ... Analyze training metrics, model outputs, and experiment logs to assess model performance and guide ...

You will be writing code, working with messy, real-world data, and learning how machine learning ... Own a product area with real autonomy and direct impact * Work on products that operate in real ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... Interest in learning about data governance, privacy, and security best practices Perks and Benefits

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... Interest in learning about data governance, privacy, and security best practices Perks and Benefits

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...

Showing results 41-60

Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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Full-time

Re-posted 8 days ago


Job description

Job Description

At RBC Borealis, you'll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis.

We're looking for an enthusiastic Machine Learning Researcher who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a Machine Learning Researcher, you're looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Being part of our team means you'll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

Your responsibilities include:

  • Developing novel AI solutions that facilitate impactful products;
  • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
  • Working with the development team to transfer research work into production;
  • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
  • Identifying relevant new AI technologies as they become available, and disseminating them into the bank's technology capabilities.

You're our ideal candidate if you have:

  • A passion for solving open problems using data and algorithms;
  • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
  • Ability to formulate and drive a research project independently without close supervision;
  • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
  • Leaders who support your development through coaching and managing opportunities;
  • Ability to make a difference and lasting impact from a local-to-global scale.


About the AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

#Ll-POST

#TechPJ

Job Skills

Data Science, Decision Making, Deep Learning, Emerging Technologies, Group Problem Solving, Machine Learning (ML), Multi-Level Communication, Programming Languages

Additional Job Details

Address:

777 BAY ST, TH 27:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

HUMAN RESOURCES & BMCC

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-27

Application Deadline:

2026-09-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME