ZipRecruiter

Log In

1

Director Data Analyst Machine Learning Jobs in Brampton, ON

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

As a Senior Data Scientist supporting our Canadian AI team, you will play a key leadership role in ... Lead complex analytics, machine learning, and generative AI initiatives from problem framing ...

Manulife

Data Scientist

Toronto, ON · Hybrid

Develop analytics, machine learning, and generative AI solutions that improve business processes ... Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

... analytics, machine learning, and business intelligence initiatives. Working closely with ... Reporting Relationship : You will report to the Director, Data Engineering Posting Type

Colliers

Director, Data Engineering

Toronto, ON · Hybrid

Strategic understanding of BI, analytics, and artificial intelligence ... Knowledge of semantic data models, Looker, Power BI, machine learning pipelines, and AI-driven ...

Colliers

Director, Data Engineering

Toronto, ON · Hybrid

Strategic understanding of BI, analytics, and artificial intelligence ... Knowledge of semantic data models, Looker, Power BI, machine learning pipelines, and AI-driven ...

Td

Machine Learning Engineer

Toronto, ON · On-site

CA$120K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $120,000 - $250,000 CAD The pay details ... Architect scalable machine learning and Gen AI systems that integrate with existing data platform ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning models focused on Anti-Money Laundering and crypto ...

previous pagenext page

Showing results 21-40

All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Brampton, ON

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.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Brampton, ON?

For Director Data Analyst Machine Learning jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Brampton, ON look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Brampton, ON are:

What cities near Brampton, ON are hiring for Director Data Analyst Machine Learning jobs?

Cities near Brampton, ON with the most Director Data Analyst Machine Learning job openings:

Director Data Analyst Machine Learning jobs near you
Infographic showing various Director Data Analyst Machine Learning job openings in Brampton, ON as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Toronto, ON • Remote

NTENT
See more jobs at NTENTexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

Apply