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Senior Natural Language Processing Engineer Jobs

Phoenix Business, Inc.

Natural Developer

Moss Point, MS · On-site

Contract We are looking for a talented and highly effective Senior Natural/ADABAS Developer to join ... Experience running Natural processes in batch via JCL and/or SCL, and online. 10 Years Experience ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical ...

CACI International, Inc.

Senior Data Engineer

King Of Prussia, PA · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

Job Title: Senior Data Engineer Job Category: Science Time Type: Full time Minimum Clearance ... Natural Language Processing algorithms such as BERT * Reinforcement learning and familiarity with ...

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 ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

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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 Aug 14, 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 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.

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 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.
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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, 19% Part Time, 1% Temporary, and 5% 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.

Senior Natural/ADABAS Developer

Accord Technologies Inc.

Jackson, MS • On-site

$47.50 - $62.75/hr

Contractor

Re-posted 6 days ago

Job description

Senior Natural/ADABAS Developer
location: Jackson, MS (onsite)
Duration: 48 months
Position type: Contract.
 

We are looking for a talented and highly effective Senior Natural/ADABAS Developer to join our development and support team.

We are currently supporting, enhancing, and maintaining the statewide Child Support System.
 

The enhancments include use of latest technologies as needed to interface/integrate with other systems on different platforms and automation of current

processes.

Technical Skill Set Requirements

Programming experience in Natural, and the utilization of ADABAS.
Experience running Natural processes in batch via JCL and/or

SCL, and online - 10 Years

Experience in the analysis, design, and programming of large or complex development projects on large-scale Linux systems - 2 Years

Experience with automated child support systems - 4 Years

Ability to provide subject matter expertise on system architecture - 3 Years


Business Skill Set/Requirements

Ability to provide recommendations regarding enhancements to the systems and processes - 3 Years

Experience developing, maintaining, and updating documentation for procedures, policies, and processes - 3 Years

Experience training end users on software - 3 Years

Knowledge of child support policies and procedures, and current state and federal mandates as implemented or similar to those in METSS, the MS statewide child support system - 2 Years

Experience interpreting, designing and implementing federal and state mandates in Linux systems such as METSS - 2 Years

Ability to effectively communicate in English verbally and in writing.

Strong oral and written communication, and time management skills.

Strong presentation and facilitation skills.

Ability to work independently but effectively with a team to accomplish team projects and solve technical problems.

Ability to conceive and/or develop creative solutions and possess strong problem-solving skills.

Experience with SCRUM /Iteration methodologies.

Experience with Jira Software.

Ability to work on many projects at one time.

Experience converting outdated technologies to new cutting-edge technologies