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Natural Language Processing Jobs in Ontario (NOW HIRING)

Types of Models Classification, regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction, Large Language ...

... natural language processing, and big data. Responsibilities * Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment ...

Solid knowledge of advanced analytics, data integration, natural language processing and AI-driven methodologies. * Familiarity with Large Language Models and synthetic population frameworks ...

Experience applying natural language processing (NLP) techniques to analyze free-text data would be an asset. This full-time opportunity is for an existing vacancy at ICES Central. The annual salary ...

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 ...

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 ...

Senior Data Scientist II

Toronto, ON ยท On-site

CA$101K - CA$151K/yr

Knowledge of natural language processing (NLP) techniques. * Familiarity with version control systems (e.g., Git). * Experience with deploying AI models in production environments. Work in a way that ...

Stay up to date with AI developments, natural language processing (NLP), and machine learning techniques used in customer support solutions. * Competitive Awareness : Keep track of competitor ...

Understanding of machine learning algorithms and their implications for risk, including supervised and unsupervised learning, neural networks, and natural language processing. * Skills in using ...

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Natural Language Processing information

See Ontario salary details

$24.5K

$125K

$190K

How much do natural language processing jobs pay per year?

As of Jun 12, 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 are the key skills and qualifications needed to thrive in the Natural Language Processing position, 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.

Will AI replace NLP?

As a natural language processing (NLP) professional, AI is a tool that enhances NLP capabilities rather than replacing the field entirely. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and fine-tuning these systems. NLP specialists are expected to adapt and work alongside AI technologies to create more accurate and context-aware language models.

What are some typical challenges faced by professionals in Natural Language Processing roles?

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.

What is a Natural Language Processing job?

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 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 jobs are there in NLP?

Jobs in Natural Language Processing (NLP) include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, Computational Linguist, and Research Scientist. These positions typically require skills in programming, machine learning, and linguistics, and often involve working with tools like Python, TensorFlow, or spaCy to develop language models and algorithms.

Is NLP 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. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.
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:
Data Scientist

Data Scientist

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Posted yesterday


Job description

Job Description

What is the opportunity?

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ensembles in fraud detection and AML, voice assistants in customer service, to algorithmic trading in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC's Enterprise Model Risk Management (RBC Group Risk Management) is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities.

The AI validation team uses machine learning, statistical, and computational strategies to assess model risk. In doing so, RBC is able to identify model weaknesses early and enhance the reliability of production models across all lines of business.

What will you do?

  • Application: You will have the opportunity to work in any of the many areas we work in, across an even wider variety of business functions, such as the following:

Types of Models

Classification, regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction, Large Language Models including generative AI

Business Functions

Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources

  • Validation: Your role is to challenge models and identify risks associated with their use - both conceptually and empirically. To that end, you will design and execute validation frameworks, exploring modelling considerations such as conceptual soundness, data processing, metric reproducibility & stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools.

  • Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you've learned to real-world problems, develop reusable software packages, and share your insights with others.

  • IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.

  • Governance: You will work with model developers (data scientists, researchers, engineers) and business stakeholders to inventory applications of AI and machine learning at the bank, determine their materiality, and assess whether they require review.

What do you need to succeed?

Must-have

  • Passionate about learning and staying up-to-date with research and technology

  • Strong communication and interpersonal skills

  • Progress towards a PhD or Master's degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field

  • Proficient programming skills in Python or a similar language; you should already be comfortable with writing research experiments and be willing to learn how to write clean code.

  • Familiarity with popular machine learning frameworks and libraries

Nice-to-have

  • A risk-oriented mindset: You are curious about the "how" as well as the "why"

  • Publication or prior research experience (applied or fundamental)

  • Experience with version control systems

  • Comfortable with command line tools

What's in it for you?

As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.

This opportunity will provide you with:

  • Leaders who support your development through coaching and managing opportunities

  • Flexibility to work on projects that you are passionate about

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to do challenging work and make a difference

  • Opportunities to build close relationships

#LI-POST
#TECHPJ

Job Skills

Client Counseling, Communication, Critical Thinking, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Risk, Quantitative Methods, Risk Management

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-16

Application Deadline:

2026-06-30

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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.

Employment Type: FULL_TIME