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Natural Language Processing Engineer Jobs (NOW HIRING)

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Forward Deployed Engineer

California, MO · On-site

Apply natural language processing techniques to improve text analytics * Participate in client ... Strong foundation in software engineering principles, application development, and system design

CoVar

Signal Processing Engineer

Durham, NC

Signal Processing Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... and natural language processing. * Spectrum monitoring and signal classification using machine ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... natural language processing systems and technologies. YOUR RESPONSIBILITIES As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the ...

HP Inc.

AI Solution Engineer

Vancouver, WA · On-site

$130K - $205K/yr

The ideal candidate combines strong software engineering skills with hands‑on experience in AI ... Experience with Natural Language Processing (NLP) and machine learning technologies. * Experience ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

... Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

Hp

AI Solution Engineer

Vancouver, WA

$130K - $205K/yr

AI Solution Engineer Description - We are seeking an innovative and results-driven AI Solution ... Experience with Natural Language Processing (NLP) and machine learning technologies. * Experience ...

Hewlett Packard Enterprise

$130K - $205K/yr

AI Solution Engineer Description - We are seeking an innovative and results-driven AI Solution ... Experience with Natural Language Processing (NLP) and machine learning technologies. * Experience ...

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How much do natural language processing engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for natural language processing engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What does a natural language processing engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What does a typical day look like for a natural language processing engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What are the key skills and qualifications needed to thrive as a natural language processing engineer?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

Are natural language processing engineers in demand?

Natural Language Processing (NLP) engineers are in high demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. They often require skills in programming, machine learning frameworks, and understanding of linguistics, with job growth expected to continue as AI applications expand.
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Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

Sr. Python AI/ML Engineer

Morris Plains, NJ • On-site

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

Full-time

Re-posted 29 days ago

Job description

NAVA Software solutions is looking for a Sr. Python AI/ML Engineer
Details:
Sr. Python AI/ML Engineer
Location: Morris Plains, NJ - hybrid / 2 days in office
Duration: 6-12 months
We are seeking a highly skilled Senior Python Engineer with a strong background in AI/ML and GenAI to join our team.
  • The ideal candidate will have a deep understanding of natural language processing, machine learning, and prompt engineering, and will be able to apply their expertise to develop innovative solutions
  • Work on natural language processing and machine learning
  • Develop innovative solutions
  • Ability to work independently and as part of a team
  • Strong communication and interpersonal skills.

Required:
  • Strong proficiency in Python programming.
  • Experience with natural language processing libraries and frameworks (e.g., NLTK, spaCy, Transformers).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Deep understanding of prompt engineering principles, best practices, and RAG concepts.
  • Familiarity with OpenAI's language models (e.g., GPT-3, GPT-4).
  • Experience with DevOps practices and tools (Orchestrator, Splunk, Dynatrace etc.)
  • Knowledge of vector stores and RAG concepts.
  • Experience with cloud platforms AWS and OpenShift.
  • Experience with vector store libraries and frameworks.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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