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We Localize Jobs in Ontario (NOW HIRING)

NTENT

Machine Learning Engineer

Toronto, ON · Remote

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 ...

NTENT

Senior DevOps Engineer

Toronto, ON

NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ... We are a unique group of brilliant minds intent on discovering, learning and building. We work in a ...

Hire Ground Talent

Sales Account Manager

Toronto, ON · On-site

On behalf of our client, we are seeking an energetic and results-oriented sales expert to join our ... Localize and sell the Total Wellness solution through partnerships and customizing solution ...

Aramark

Restaurant Division Manager

Kanata, ON

CA$30 - CA$33/hr

Partner with marketing teams to localize promotions within Ontario markets * Monitor online reviews ... We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender ...

Jj

Product Manager | Markham, Ontario

Markham, ON · On-site

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation ... Purpose The Product Manager (PM) will localize global strategy to drive product adoption and demand ...

Technogym

Your Role We are seeking an energetic and results-oriented Technogym Expert to join our fastest ... Localize and sell the Total Wellness solution through partnerships and customizing solution ...

DEPT

Bilingual Copywriter (French)

Toronto, ON · Hybrid

We're 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa ... As a Bilingual Copywriter (English/French Canadian - FR-CA), you'll write, shape, and localize ...

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We Localize information

What does a localization specialist do?

A localization specialist adapts content such as websites, software, games, or documents to fit the language and cultural preferences of a target audience. This involves translating text, adjusting images or layouts, and ensuring that content is culturally appropriate and relevant. The goal is to make the product feel native to users in different regions, which can include legal, linguistic, and cultural modifications. Localization specialists often work closely with translators, project managers, and developers.

What are some common challenges faced by localization specialists working in a fast-paced, multilingual environment at We Localize?

Localization specialists at We Localize often manage projects across multiple languages and regions, requiring strong organizational and communication skills. A common challenge is balancing tight deadlines while ensuring high-quality, culturally appropriate translations. Specialists must also collaborate closely with project managers, linguists, and technical teams to address any discrepancies and maintain consistency across all deliverables. Effective use of localization tools and proactive problem-solving are key to overcoming these challenges and delivering client-ready content.

What are the key skills and qualifications needed to thrive as a localization specialist, and why are they important?

To thrive as a Localization Specialist, you need proficiency in at least two languages, strong cultural knowledge, and a background in translation or linguistics. Familiarity with computer-assisted translation (CAT) tools, localization management platforms, and industry certifications like ATA can be highly beneficial. Excellent attention to detail, adaptability, and communication skills help ensure accuracy and smooth collaboration across teams. These competencies are vital for delivering culturally relevant and high-quality localized content that resonates with target audiences.

What is the difference between We Localize vs Translation Project Manager?

AspectWe LocalizeTranslation Project Manager
CredentialsTypically requires language skills, localization experience, and project management knowledgeRequires project management experience, language skills, and industry certifications (e.g., PMP)
Work EnvironmentLocalization agencies, tech companies, remote or office-basedAgency or corporate settings, managing translation projects
Industry UsageCommonly used in localization and translation services
Search & Comparison IntentPeople compare roles within localization companies

We Localize and Translation Project Managers both work in the language services industry, but We Localize refers to a company specializing in localization services, while a Translation Project Manager is a role responsible for managing translation projects within such companies. The main difference lies in We Localize being a company name, whereas Translation Project Manager is a job title. Understanding this helps job seekers and clients distinguish between a localization provider and the specific role managing translation projects.

What are popular job titles related to We Localize jobs in Ontario?

For We Localize jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching We Localize jobs in Ontario look for?

The top searched job categories for We Localize jobs in Ontario are:

What cities in Ontario are hiring for We Localize jobs?

Cities in Ontario with the most We Localize job openings:

We Localize jobs near you
Infographic showing various We Localize job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution.

Machine Learning Engineer

NTENT

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 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.

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