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Senior Natural Language Processing Engineer Jobs

ECS

Senior AI Engineer

Falls Church, VA · On-site

$111K - $153K/yr

This role leverages machine learning, natural language processing, and retrieval-augmented ... platform engineers, cybersecurity teams, and senior government stakeholders. • Strong problem ...

Roberts Recruiting

Senior Data Scientist

Boston, MA · On-site

Develop natural language processing systems that help our customers understand their contracts ... Work with our product managers and machine learning engineers during development phase. Nice-to ...

ADP

Senior AI Engineer

Barnegat, NJ

$111K - $152K/yr

ADP is hiring a Senior AI Engineer . Does the thought of working with one of the most comprehensive ... You should have experience building models in the areas such as natural language processing, deep ...

Bestpeers LLC

AI Engineer

Charlotte, NC · Remote

We're looking for an experienced AI Engineer with a solid understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) to join our growing team. If you're hands-on with Python ...

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 ...

Compunnel

Senior AI Engineer

Coppell, TX · On-site

$96K - $132K/yr

JOB SUMMARY Seeking a Sr. AI Engineer with deep expertise in building AI-driven and agentic ... for Natural Language Processing (NLP). • Understand multi-agent system collaboration and ...

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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 Jun 5, 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 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 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 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.

More about Senior Natural Language Processing Engineer jobs
What cities are hiring for Senior Natural Language Processing Engineer jobs? Cities with the most Senior Natural Language Processing Engineer job openings:
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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 May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $121,116 per year, or $58.2 per hour.

Natural Language Processing and Large Language Models Developer - eFinancialCareers

eFinancialCareers

Manhattan, NY

Full-time

Posted 17 days ago

Job description

Join a dynamic team of innovative scientists, technologists, and scholars dedicated to transcending conventional methods. We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models

Position Overview:

Looking for visionary NLP and LLM focused scientists to harness the power of language to decode complex financial problems and manage vast volumes of textual data.

Key Responsibilities:

  1. Develop, and transition from concept to a functional prototype and final NLP or LLM product.
  2. Immerse yourself in a research-oriented environment, where you'll craft code, experiment with advanced NLP and LLM tools, and refine techniques to extract insights from financial narratives.
  3. Collaborate closely with various teams within our organization to seamlessly integrate your linguistic intelligence solutions into our products.
  4. Stay connected to the broader linguistic research community by fostering partnerships both internally and externally, and making a mark at relevant conferences.

Qualifications & Experience:

  1. Earned an advanced degree in Computer Science, Linguistics, Engineering, or another relevant field with an emphasis on NLP and LLM.
  2. Strong programming proficiency in languages such as Python, C++, Tensorflow, PyTorch, or similar.
  3. Past roles or internships centered around NLP, LLM, or related linguistic computational models.
  4. A foundation in language models, especially concerning extensive and multifaceted textual datasets, and an interest in applying these to financial challenges.
  5. Credible research contributions, preferably with publications in esteemed platforms focused on NLP or LLM such as ACL, EMNLP, or similar.
  6. Familiarity with cloud ecosystems and managing multi-machine configurations.
  7. Active involvement in the open-source linguistic community.

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