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Natural Language Processing Jobs in Ontario (NOW HIRING)

Data Scientist - TD Asset Management

Toronto, ON ยท On-site

CA$105K - CA$145K/yr

Theoretical and practical knowledge of machine learning, NLP (natural language processing), deep learning an statistics It would be great if you have: * Strong software engineering skills: version ...

... natural language processing, and/or AI systems development * 2+ years of hands-on experience building production LLM or AI agent systems * Demonstrated experience building agents used in production ...

You have the scientific and technical skills to build and refine models that can be implemented in production, and you leverage Natural Language Processing and Generative AI models to enhance their ...

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 ...

QA Engineer (AI & Manual Testing)

Brampton, ON ยท On-site

CA$70K - CA$85K/yr

You will apply AI-based visual testing and anomaly detection to catch issues before they impact users, and utilize Natural Language Processing (NLP) models for requirement analysis and the generation ...

Natural Language Processing (NLP): strong understand of NLP tasks such as entity recognition, summarization, text classification. * Skills in evaluating LLM performance using metrics * Data Pipeline ...

Showing results 41-60

Natural Language Processing information

See Ontario salary details

$24.5K

$125K

$190K

How much do natural language processing jobs pay per year?

As of Aug 22, 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:

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 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $125,030 per year, or $60.1 per hour.

Data Scientist - TD Asset Management

Td

Toronto, ON โ€ข On-site

CA$105K - CA$145K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

TD Wealth

Pay Details:

$105,000 - $145,000 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

TD Asset Management (TDAM), a member of TD Bank Financial Group, is a leading North American investment manager offering progressive investment solutions to both institutional and individual investors. For over two decades, the organization has established competitive market positions in active, quantitative, and passive portfolio management. As of December 31, 2025, TDAM and its affiliates manage over $508 billion in assets on behalf of pension, insurance, endowment/foundation, and corporate clients, as well as high-net worth clients and retail mutual funds.

In attaining this client commitment, TDAM has built one of Canada's largest and most respected investment management and research teams with more than 220 Portfolio Managers, Associate Portfolio Managers, Traders and Analysts.

Versatile job accountabilities and skills will be needed, as the candidate will be working with a small team and to ensure efficiency various hats will be required


Responsibilities:

  • Help to grow a team of data scientists and software engineers
  • Partner closely with portfolio managers, sales, technology, operations, senior management and other stakeholders within the organization to guide their decisions making process through construction on ML tools
  • Proactively identify and champion projects that solve complex problems across multiple domains
  • Apply specialized skills and fundamental data science methods (predictive modeling, Generative AI, time series forecast, deep learning, NLP) to develop solutions that improve business decisions
  • Design and implement end-to-end data pipelines: work closely with stakeholders to buildmodels, tables or schemas that support business processes
  • Guide and mentor developers and data scientists, fostering skill growth and best practices in AI/ML and software engineering

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Extensive experience using Python including a strong grasp on machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Strong background in machine learning, large language models (LLMs), agentic AI frameworks, and modern software engineering
  • Theoretical and practical knowledge of machine learning, NLP (natural language processing), deep learning an statistics

It would be great if you have:

  • Strong software engineering skills: version control, CI/CD, testing, and code optimization
  • Experience with data storytelling usingTableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet