ZipRecruiter

Log In

1

Natural Language Processing Jobs in Ontario (NOW HIRING)

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning algorithms for Dialpad's products. * Conduct rigorous evaluation and monitoring of model performances ...

Netomi

Prompt Engineer

Toronto, ON

Strong understanding of natural language processing (NLP) and machine learning principles. * Experience with AI prompt engineering, including writing, optimizing, and evaluating prompts.

Td

Sr. Full Stack Data Science Engineer

Toronto, ON · On-site

CA$154K - CA$199K/yr

Predictive Analytics, Natural Language Processing (NLP), Supervised and Unsupervised Learning, leveraging Generative AI tools and APIs, Model Development and Deployment, Experimentation and ...

THOMSON REUTERS

Senior Research Engineer

Toronto, ON · Hybrid

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, Text classification ...

Royal Bank of Canada

Lead AI/ML Engineer

Toronto, ON · On-site

Background in natural language processing (NLP) research or advanced AI techniques * Contributions to open-source AI/ML projects * Certifications in cloud platforms or AI/ML specializations What's in ...

YO AI Labs

Korean Language Expert - Remote

Toronto, ON · Remote

$65 - $100/hr

... and natural expression over literal translation. * Collaborate with project participants to improve data collection, evaluation, and annotation processes. * Help develop language guidelines and ...

YO AI Labs

Korean Language Expert - Remote

Toronto, ON · Remote

$65 - $100/hr

... and natural expression over literal translation. * Collaborate with project participants to improve data collection, evaluation, and annotation processes. * Help develop language guidelines and ...

previous pagenext page

Showing results 21-40

All JobsNatural Language Processing JobsNatural Language Processing Jobs in Ontario

Natural Language Processing information

See Ontario salary details

$24.5K

$125K

$190K

How much do natural language processing jobs pay per year?

As of Sep 5, 2026, the average yearly pay for natural language processing in Ontario is $125,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are popular job titles related to Natural Language Processing jobs in Ontario?

For Natural Language Processing jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Ontario look for?

The top searched job categories for Natural Language Processing jobs in Ontario are:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $125,030 per year, or $60.1 per hour.

Sr. Machine Learning Engineer, Core Engineering

Pinterest

Toronto, ON • Remote

Full-time

Re-posted 14 days ago

Job description

With more than 535 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems

What we're looking for:

  • 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Degree in computer science, machine learning, statistics, or related field


Nice to have:

    • Publications at top ML conferences
    • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
    • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE
#LI-AK7

Apply