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Nlp Developer Jobs (NOW HIRING)

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

As the AI Research Engineer, youwill play a key role in the rapid growth ofULas you: * Studiesincident reports implicating LLMs or NLP algorithms and hypothesize root causes. * Conducts literature ...

Capture2, Inc.

NLP Data Lead

San Diego, CA · On-site

We are seeking an application engineer with experience extracting key information from unstructured ... An individual with a background in NLP technologies will be integral to guiding the training and ...

NVIDIA Corporation

... NLP, DevOps, CI/CD experience to join our platform SWQA team. What you'll be doing: * Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and ...

Yakamconsulting

Conduct data preprocessing, cleaning, and feature engineering to prepare text data for analysis. * Collaborate with cross-functional teams to define project objectives and requirements. * Utilize NLP ...

Siemens AG

Knowledge of best practices in prompt engineering and context window management * Natural Language Processing (NLP): * Experience with Key techniques and concepts in NLP, NLU and NLG * Experience ...

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NLP Developer information

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How much do nlp developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for nlp developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What does an NLP developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

What are the key skills and qualifications needed to thrive as an NLP developer?

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.

What are some common challenges faced by NLP developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.
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NLP Developer jobs near you
Infographic showing various Nlp Developer job openings in the United States as of September 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Python / PySpark / NLP / MLOps Engineer

Manhattan, NY • On-site

Application Management Services LLC
See more jobs at Application Management Services LLCexternal

Other

Posted 9 days ago

Job description

Role: Python / PySpark / NLP / MLOps Engineer
Location: Pittsburgh, PA/Lake Mary, FL/NYC, NY – (Onsite/Hybrid – 3 days onsite per week)
Type: Long Term Contract
Industry: Banking Payments Domain

JD:

Client is seeking an experienced **Python / PySpark / NLP / MLOps Engineer** to join our technology team. The ideal candidate will have strong hands-on experience in Python development, distributed data processing using PySpark, Natural Language Processing (NLP), and productionizing machine learning solutions through MLOps practices.
The ideal candidate is a hands-on engineer who can work across the complete lifecycle—from data preparation and PySpark processing to NLP/ML model development and production deployment using MLOps practices.
Key Responsibilities:

- Develop scalable and production-ready applications using Python.
- Build and optimize large-scale data processing pipelines using Apache Spark / PySpark.
- Develop NLP solutions for processing and extracting insights from structured and unstructured data.
- Develop, train, validate, deploy, and monitor machine learning models in production environments.
- Implement MLOps best practices across the ML lifecycle, including model versioning, experiment tracking, CI/CD, deployment, monitoring, and model governance.
- Work with data scientists to convert machine learning prototypes into scalable production solutions.
- Design and implement data pipelines supporting ML/NLP workloads.
- Optimize PySpark jobs for performance, scalability, and reliability.
- Build reusable Python libraries, APIs, and automation frameworks.
- Implement automated testing, deployment, and monitoring for ML applications.
- Collaborate with engineering and business teams to understand requirements and deliver robust solutions.
- Troubleshoot production issues and continuously improve system performance and reliability.

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