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Machine Learning Natural Language Processing Jobs

VTG

Advanced Data Scientist, Senior

Chantilly, VA

... intelligence, machine learning, natural language processing, data mining, statistics, and algorithms Ability to develop persistent monitoring applications for statistical or machine learning ...

Profluent

Machine Learning Scientist

Emeryville, CA · On-site +1

$180K - $250K/yr

PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field * Experience with ...

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125.10K - $150.30K/yr

Exposure or coursework in machine learning, natural language processing or linguistics * Strong grasp of CS fundamentals, algorithms, data structures, and design patterns * Recommendation from a ...

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How much do machine learning natural language processing jobs pay per hour?

As of May 31, 2026, the average hourly pay for machine learning natural language processing in the United States is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Natural Language Processing specialist, and why are they important?

A Machine Learning Natural Language Processing (NLP) specialist needs strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and advanced knowledge in linguistics or computational linguistics, often supported by a relevant degree. Familiarity with NLP libraries (like NLTK, spaCy, or Hugging Face Transformers), experience with machine learning frameworks (such as TensorFlow or PyTorch), and sometimes certifications in data science or AI are typically required. Excellent problem-solving ability, collaboration, and effective communication are crucial soft skills to excel in this field. These skills enable the development of robust NLP models, smooth integration into real-world applications, and effective teamwork on complex projects.

How do professionals in Machine Learning Natural Language Processing typically collaborate with cross-functional teams?

In Machine Learning Natural Language Processing (NLP) roles, collaboration with cross-functional teams is essential. NLP professionals frequently work alongside data engineers to gather and preprocess large datasets, software developers to integrate models into products, and product managers to align technical solutions with business goals. Regular communication, agile methodologies, and collaborative problem-solving sessions are common to ensure that NLP models are both technically sound and user-oriented. This teamwork not only enhances the effectiveness of NLP solutions but also provides opportunities to learn from colleagues with diverse expertise.

What is a Machine Learning Natural Language Processing (NLP) specialist?

A Machine Learning Natural Language Processing (NLP) specialist is a professional who designs, develops, and implements algorithms and models that allow computers to understand, interpret, and generate human language. They use machine learning techniques to work on tasks such as text classification, sentiment analysis, language translation, and speech recognition. NLP specialists often work with large datasets and require strong skills in programming, linguistics, and data science. Their work enables applications like chatbots, virtual assistants, and search engines to better process human language.
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Machine Learning Natural Language Processing jobs near you
Infographic showing various Machine Learning Natural Language Processing job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 90% Full Time, and 9% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $41,370 per year, or $19.9 per hour.
Advanced Data Scientist, Senior

Advanced Data Scientist, Senior

VTG

Chantilly, VA

Full-time

Posted 10 days ago

Job description

Overview

VTG is looking for an Advanced Data Scientist, Senior in Chantilly, VA


What will you do?

Apply data mining techniques, doing statistical analysis, and building high quality prediction models. Obtain data through advanced computerized models, extrapolate data patterns through advanced algorithms, develop graphs and charts to explain how the information will influence the specific project or business, and present to managers how to best alter their business models to generate future trends, and discovering patterns and previously hidden insights. Apply a broad domain expertise to comprehend data origins and context in order to ensure consistency of data, merge data sources together, and help others to gain a better comprehension of data. 


Do you have what it takes?

TS/SCI with Poly required

Bachelor's degree in Computer Science

3+ years of experience in data science or analytics

Experience with the analysis of data and creation of data-driven visualizations

Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms

Ability to develop persistent monitoring applications for statistical or machine learning processes using Python and SQL

Ability to create reports and present findings based on statistical analysis 

Qualifications:

TS/SCI with Poly required

Bachelor's degree in Computer Science

3+ years of experience in data science or analytics

Experience with the analysis of data and creation of data-driven visualizations

Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms

Ability to develop persistent monitoring applications for statistical or machine learning processes using Python and SQL

Ability to create reports and present findings based on statistical analysis 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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