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Nlp Engineer Jobs in Alabama (NOW HIRING)

Test Automation - Manager

Montevallo, AL · On-site

$45.25 - $59.75/hr

... ML/NLP Testing, PTF, RPA Testing, SAP Worksoft, Service Now, Talos, Test complete, Tosca, UFT ... Drive the adoption of best software engineering practices including CI/CD and automated testing.

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Nlp Engineer information

See Alabama salary details

$33.1K

$97.2K

$124.6K

How much do nlp engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for nlp engineer in Alabama is $97,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $123,300.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for an NLP Engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

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

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

What does an NLP Engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and linguistics. It is a growing field with high demand in industries like tech, healthcare, and finance, offering competitive salaries and opportunities for advancement. Success in this career typically involves continuous learning and proficiency with tools like Python and frameworks such as TensorFlow or PyTorch.

What does an NLP engineer do?

An NLP engineer develops and implements algorithms that enable computers to understand, interpret, and generate human language. They work with machine learning models, natural language processing tools, and programming languages like Python to build applications such as chatbots, language translation, and sentiment analysis systems.

What engineers make 500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and stock options or bonuses. Roles in technology companies, finance, or startups with equity offerings are more likely to reach this compensation level.

What is the salary of NLP engineer?

The average salary of an NLP engineer in the United States ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and natural language processing tools may earn higher compensation.
What are popular job titles related to Nlp Engineer jobs in Alabama? For Nlp Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Nlp Engineer jobs in Alabama look for? The top searched job categories for Nlp Engineer jobs in Alabama are:
Infographic showing various Nlp Engineer job openings in Alabama as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $97,239 per year, or $46.7 per hour.

ML / NLP DATA SCIENTIST with Security Clearance

Kforce Federal Solutions

Huntsville, AL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Senior Data Scientist – TS Cleared Note: This role would require relocation if not local to Huntsville, Alabama Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours) Clearance: Active Top Secret Required Employment Type: W2 Consultant (Kforce) Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly: Brenton Anderson 📧 🔗 https://www.linkedin.com/in/myitrecruiterbrenton/ Overview We are seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, artificial intelligence, machine learning, and operational intelligence supporting national security initiatives. This is a highly visible role responsible for developing and deploying advanced analytical models that transform large, complex datasets into actionable intelligence. The ideal candidate will possess deep expertise in Machine Learning (ML), Natural Language Processing (NLP), statistical modeling, and cloud-based data science solutions, with the ability to deliver mission-impacting insights in secure environments. You will work alongside elite engineering, data, and mission teams to design and implement AI/ML capabilities that support decision advantage, operational effectiveness, and enterprise-scale analytics initiatives. Key Responsibilities
Design, develop, and deploy advanced machine learning models supporting mission-critical objectives
Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data
Build predictive and prescriptive analytics solutions using large, complex datasets
Research, evaluate, and implement AI/ML algorithms to solve complex operational challenges
Develop and optimize data science workflows using Python, Java, or Scala
Leverage AWS cloud services to support scalable machine learning and analytics environments
Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions
Support MLOps and CI/CD processes utilizing Git and GitLab environments
Create visualizations, reports, and presentations that communicate analytical findings to technical and non-technical stakeholders
Ensure models meet performance, reliability, explainability, and security requirements within a cleared environment
Stay current on emerging technologies and industry best practices in AI, machine learning, and data science Required Qualifications
Active Top Secret clearance Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Extensive experience developing and deploying Machine Learning models in production environments
Strong experience with Natural Language Processing (NLP), text analytics, and language modeling techniques
Strong programming experience with Python, Java, or Scala
Experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Spark ML, or similar technologies
Experience utilizing AWS cloud services for analytics, data science, or machine learning workloads
Experience working with Git or GitLab in CI/CD environments
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience working with large, complex datasets in secure or regulated environments
Ability to operate independently at a Senior or SME level and drive solutions from concept through deployment Preferred Qualifications
Master's Degree or PhD in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related field Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI governance frameworks
Experience with distributed data processing platforms and cloud-native architectures
Familiarity with MLOps pipelines and model deployment frameworks
Prior experience supporting federal, defense, intelligence, or national security programs Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce? As a W2 consultant with Kforce, you'll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs
Impact This role provides the opportunity to develop cutting-edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your expertise will help transform complex data into actionable intelligence that drives operational success and strategic advantage. Apply Today Join a team where your expertise in Machine Learning, Natural Language Processing, Artificial Intelligence, and Advanced Analytics directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. Brenton Anderson Technical Recruiter Kforce Government Solutions