1

Nlp Jobs in Quebec (NOW HIRING)

$126.40 - $158/hr

As a key member, you will work at the intersection of Data Science and DevOps, building robust ML systems that support generative AI, NLP, and real‑time classification. You will report to the ...

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 ...

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 ...

$126.40 - $158/hr

Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP. * Expert-level Python skills and experience with high-scale data processing ...

Experience building ML models for regression, classification, or NLP tasks * Bilingual English/French - asset for QC operational context Advanced knowledge of English is required because you will ...

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 ...

$90 - $130/hr

You have deep understanding of concepts and algorithms underlying machine learning and LLMs. * You're experienced with building and deploying LLMs or NLP applications. * You have proven experience in ...

next page

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 Jul 18, 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 job?

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 are the typical projects or tasks that an NLP specialist works on within a company?

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.

Is NLP a good career option?

NLP (Natural Language Processing) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and are in demand across industries such as tech, healthcare, and finance. It offers opportunities for research, development, and application of innovative language technologies.

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.

What are the jobs in NLP?

Jobs in NLP include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, and Research Scientist, focusing on developing algorithms for language understanding, speech recognition, and text analysis. These positions often require skills in programming languages like Python, knowledge of NLP libraries such as NLTK or spaCy, and experience with machine learning frameworks like TensorFlow or PyTorch.

Does NLP pay well?

NLP (Natural Language Processing) specialists typically earn competitive salaries, especially with experience and advanced skills in machine learning, deep learning, and programming languages like Python. Salaries vary by industry and location but generally reflect the high demand for expertise in AI and data analysis tools.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.
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 July 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $150,765 per year, or $72.5 per hour.

Senior II Applied Scientist (NLP)

Coveo Solutions

Montreal, QC • On-site

Full-time

Posted 10 days ago


Job description

Shape the future of enterprise AI technology

Do you want to turn cutting-edge natural language processing into products impacting millions of users?

As a Senior II Applied Scientist on Coveo's Knowledge AI team, you will help build the language technologies at the core of our generative artificial intelligence platform.

You'll take on a technical leadership role, influencing our NLP vision while designing, evaluating, and deploying advanced solutions such as retrieval augmented generation pipelines, information retrieval, semantic search, question answering, and agentic systems, always with real-world constraints in mind.

As one of our Senior II Applied Scientists, you will:
  • Design, develop, and optimize modern language-based artificial intelligence solutions, from data and modeling choices to evaluation strategies and production constraints.
  • Apply and serve transformer-based language models at scale, delivering reliable, real-time experiences to enterprise users.
  • Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles.
  • Act as a technical reference within the team, guiding architectural decisions and promoting best practices in applied science.
  • Mentor applied scientists, supporting their growth and helping raise the overall level of expertise within the group.
  • Contribute to research and development processes that foster efficiency, rigor, and a culture of applied science excellence.
  • Share our innovations externally through technical blog posts, presentations, or other thought leadership content.
Here is what will qualify you for the role:
  • A PhD, or a Master's degree with equivalent research experience, in a relevant field such as machine learning, computer science, mathematics, or physics.
  • At least 8 years of industry experience applying modern natural language processing techniques, including deep learning and large language models, to real-world systems at scale.
  • Strong experience designing models and systems that balance performance, user experience, and production realities.
  • Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.
What will make you stand out:
  • Experience in a technical leadership capacity, including mentoring, hiring, roadmap definition, or scientific project planning.
  • Research or applied experience in areas closely related to Coveo's business, such as information retrieval, neural search, semantic search, or question answering.
  • Exposure to more traditional lexical or linguistics-based natural language processing techniques.
  • International work experience and a demonstrated ability to collaborate across cultures and perspectives.

Do you think you can bring this role to life? Or add your own color?
You don't need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.