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Senior Natural Language Processing Engineer Jobs

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 ...

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 ...

Sanas

Senior Software Engineer

Palo Alto, CA · On-site

$144K - $190K/yr

The Senior Software Engineer will lead the development of advanced applications, focusing on ... Learning, Deep Learning, Natural Language Processing, or Speech Processing and 2 years of ...

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 · On-site

$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 ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

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 ...

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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 Jul 3, 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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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 June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,116 per year, or $58.2 per hour.

Senior AI/ML Process Engineer

AGE solutions

Chambersburg, PA • Hybrid

$170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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.