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Natural Language Processing Engineer Jobs (NOW HIRING)

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Alpha Consulting Corp.

Gen AI engineer

Austin, TX · On-site

... of natural language processing for text generation tasks. • Experience in deploying AI models ... Python programming. • Design and develop algorithms for generative models using deep learning ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Developer | Kore.AI | Dallas

Dallas, TX · On-site

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... As a Senior Machine Learning Engineer, you will: * Design, implement and validate high-reliability ...

Scalence L.L.C.

Gen AI engineer

Austin, TX · On-site

... of natural language processing for text generation tasks. • Experience in deploying AI models ... Python programming. • Design and develop algorithms for generative models using deep learning ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

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Natural Language Processing Engineer information

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

As of Jun 24, 2026, the average yearly pay for natural language processing engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the salary of an NLP engineer?

The salary of a Natural Language Processing (NLP) engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with proficiency in tools like Python, TensorFlow, or PyTorch.

Is ML a high paying job?

A career as a Natural Language Processing Engineer, which involves machine learning (ML), is generally considered high paying due to the specialized skills required, such as programming in Python, understanding of deep learning frameworks, and experience with large datasets. Salaries tend to be above average in the tech industry, especially with experience, advanced degrees, and proficiency in tools like TensorFlow or PyTorch.

What does a typical day look like for a Natural Language Processing Engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a Natural Language Processing Engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What are the key skills and qualifications needed to thrive in the Natural Language Processing Engineer position, and why are they important?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like machine learning or natural language processing can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in certain industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech firms or startups with high growth potential.

What does a natural language processing engineer do?

A natural language processing (NLP) engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with techniques such as machine learning, deep learning, and linguistic analysis, often using tools like Python and libraries like TensorFlow or PyTorch, to build applications like chatbots, language translation, and sentiment analysis.
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What cities are hiring for Natural Language Processing Engineer jobs? Cities with the most Natural Language Processing Engineer job openings:
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Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

Senior AI/ML Process Engineer

AGE Solutions

Fort George G Meade, MD • On-site

$170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a Senior AI/ML Process Engineer to support our DoD customer in modernizing Risk Management Framework (RMF) processes through automation, artificial intelligence, and emerging technologies.
This position will help identify, evaluate, and recommend opportunities to leverage Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing technologies to improve the speed, accuracy, and efficiency of cybersecurity and risk management operations.
The successful candidate will work closely with process engineers, cybersecurity professionals, and government stakeholders to assess current workflows and develop innovative solutions that accelerate RMF execution and reduce manual effort.
Responsibilities Include:
  • Conduct analysis of RMF-related business processes and identify opportunities for AI-enabled modernization.
  • Evaluate emerging technologies including Generative AI, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing.
  • Assess opportunities to automate cybersecurity and RMF activities, including:
    • Control assessments
    • Evidence reviews
    • STIG development and maintenance
    • Ticket triage
    • Connection package reviews
    • Cross Domain risk analysis
  • Collaborate with process engineers to develop future-state workflows incorporating AI and automation technologies.
  • Support development of implementation roadmaps and modernization strategies.
  • Research commercial and government AI capabilities applicable to RMF and cybersecurity operations.
  • Develop executive briefings, white papers, recommendations, and technical documentation.
  • Support pilot initiatives and proof-of-concept activities.
  • Assist with workflow automation initiatives using ServiceNow, Jira, RPA, and related technologies.

Required Skills, Qualifications and Experience:
  • Education:
    • Bachelor's degree in engineering, Computer Science, Information Systems, Business, or related discipline.
  • Experience:
    • 15 Years of experience with a minimum of (5) years' experience in process improvement, business process analysis, cybersecurity operations, AI/ML technologies, or digital transformation initiatives.
    • Experience evaluating or implementing AI, ML, Generative AI, NLP, or intelligent automation solutions.
    • Experience conducting technical analysis and developing recommendations for process improvement initiatives.
  • Security Clearance:
    • Must have a current DoD Secret Clearance.
  • Certifications:
    • Must have a Current DoD 8570/8140 compliant certification (Security+, CAP, CISSP, CISM, or equivalent).
      • Additional role-specific certifications in process improvement, automation, AI/ML, or cybersecurity are highly desired.
  • Skills and Knowledge:
    • Demonstrated proficiency with Microsoft Visio, including process modeling, BPMN, swim-lane diagrams, and workflow analysis.
    • Demonstrated proficiency with Microsoft PowerPoint and executive-level presentation development.
    • Working knowledge of DoD RMF, NIST SP 800-37, NIST SP 800-53, CNSSI-1253, and DoDI 8500.01/8510.01.
    • Familiarity with STIG/SRG/CCI development, A&A processes, Cloud A&A processes, or cloud cybersecurity architecture.
    • Working knowledge of workflow automation technologies including ServiceNow, Jira, and Robotic Process Automation (RPA).
    • Knowledge of AI/ML concepts, LLMs, Generative AI, NLP, and intelligent document processing technologies.
    • Strong analytical, research, technical writing, and problem-solving skills.
  • Location:
    • This is a hybrid position. Must be able to travel periodically to Fort Meade, MD and Chambersburg, PA to support customer meetings, workshops, and program activities.

Preferred Qualifications:
  • Experience supporting DISA, DoD, or federal cybersecurity programs.
  • Experience with Azure AI, AWS AI/ML services, OpenAI, Anthropic, or similar enterprise AI platforms.
  • Familiarity with AI governance, responsible AI principles, and cybersecurity applications of AI.
  • Experience developing strategic technology roadmaps and modernization recommendations.
  • Certifications in cloud-based Artificial Intelligence (AI) and Machine Learning (ML) technologies, including AWS Certified AI Practitioner, Microsoft Azure AI Fundamentals, Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent credentials highly preferred.
  • Lean Six Sigma certification or process improvement experience.

The projected salary range for this position is $170,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Apply