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Senior Natural Language Processing Engineer Jobs

AIToolboard

$150 - $190/hr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist ... Collaborate with engineering teams to integrate research prototypes into production systems. * Stay ...

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Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

... Sr. 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 ...

Teklead Corp

Sr Machine Learning Engineer

Agoura Hills, CA · On-site

$67 - $80/hr

... Sr. ML NLP Developer 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 ...

Teklead Corp

Sr Machine Learning Engineer

Agoura Hills, CA · On-site

$67 - $80/hr

... Sr. ML NLP Developer 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 ...

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Senior Natural Language Processing Engineer information

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$75K

$121.1K

$170.5K

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

As of Sep 4, 2026, the average yearly pay for senior natural language processing engineer in the United States is $121,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

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Senior Natural Language Processing Engineer jobs near you
Infographic showing various Senior Natural Language Processing Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $121,116 per year, or $58.2 per hour.

Natural Language Processing Engineer

Beyond SOF

Washington, DC • On-site

Full-time

Re-posted 29 days ago

Job description

Role Summary:
The Natural Language Processing
(NLP) Engineer is responsible for
developing and implementing NLP
solutions to support the
company's projects.
Main Responsibilities and duties:
Develop and implement NLP
solutions.
Collaborate with the engineering
team to integrate NLP solutions
into projects.
Conduct research on NLP
technologies and trends.
Stay updated on the latest NLP
technologies and trends.
Develop and implement
quantum-enhanced NLP
solutions. Collaborate with
quantum engineers to integrate
quantum technologies into NLP
projects.

Apply