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Nlp Jobs in Quebec (NOW HIRING)

Chez Vooban, tu touches à plusieurs projets et plusieurs domaines d'affaires en parallèle: machine learning, deep learning, RAG, LLM, NLP, computer vision, robotique. Personne ne va te dicter quoi ...

Chez Vooban, tu touches a plusieurs projets et plusieurs domaines d'affaires en parallele: machine learning, deep learning, RAG, LLM, NLP, computer vision, robotique. Personne ne va te dicter quoi ...

Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...

Diriger la mise en uvre d'applications de TAL (NLP), de solutions basees sur les LLM, de modeles predictifs et d'agents intelligents * Developper et integrer des services d'IA a l'aide d'AWS Bedrock ...

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

Provide sound commercial recommendations based on optimization studies using available tools, such as NetLine/Plan (NLP) * Collaborate with the Alliances and Interline team on the evaluation of ...

This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology. Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior ...

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Showing results 1-20

Nlp information

See Quebec salary details

$57.5K

$150.8K

$228K

How much do nlp jobs pay per year?

As of Aug 28, 2026, the average yearly pay for nlp in Quebec is $150,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $171,000.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

What are the key skills and qualifications needed to thrive in the NLP position, and why are they important?

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

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

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.

What are the most commonly searched types of Nlp jobs in Quebec?

The most popular types of Nlp jobs in Quebec are:

What are popular job titles related to Nlp jobs in Quebec?

For Nlp jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Nlp jobs in Quebec look for?

The top searched job categories for Nlp jobs in Quebec are:

Infographic showing various Nlp job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $150,765 per year, or $72.5 per hour.

Data Scientist (NLP Specialist) - Legal and Compliance (Hybrid)

Morgan Stanley

Montreal, QC • Hybrid

Full-time

Posted 10 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

37th of 152 rated financial services


Job description

We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory, and franchise risk. This is a Director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models and tools using advanced analytical techniques to help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.

  • Create GenAI-based solutions to automate manual tasks and drive cost efficiency.

  • Conduct research to identify novel methods for enhancing analytical solutions.

  • Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.

  • Champion innovative approaches to improve detection of suspicious activity.

What you'll bring to the role:

  • At least 4 years of hands-on experience building AI/ML/NLP solutions and applying advanced statistical methods to solve complex business problems, together with a Master's or PhD in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, or Machine Learning.

  • Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java.

  • Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.

  • Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations.

  • Strong problem solving and time management skills.

  • Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics.

  • Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques.

  • Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US