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Nlp Engineer Jobs (NOW HIRING)

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects. The successful ...

NLP Engineer

San Diego, CA · On-site

$72K - $130K/yr

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects. The successful ...

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We ...

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We ...

AI/ML NLP Engineer Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) Duration: 12+ Months Contract Required Skills We are seeking experienced Software Engineers with ...

NLP Engineer with Security Clearance

Herndon, VA · On-site

$117K - $141K/yr

NLP ENGINEER About the Team Here at BTI360, we've built a culture that's passionate about developing software engineers. Software doesn't build itself. People do.  In fact, teams of people do ...

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language ...

... NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or ... electrical engineering machine learning applications Experience with large language models ...

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Nlp Engineer information

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$36.5K

$107.3K

$137.5K

How much do nlp engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for nlp engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 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.
More about Nlp Engineer jobs
What cities are hiring for Nlp Engineer jobs? Cities with the most Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Nlp Engineer jobs? States with the most job openings for Nlp Engineer jobs include:
Infographic showing various Nlp Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.
NLP Engineer

$72K - $130K/yr

Full-time

Retirement

Posted 18 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects.

The successful candidate will have a strong background in NLP and AI, with an emphasis on text, information retrieval, information extraction, and/or associated principles of knowledge representation and ontological design.  The successful candidate will be comfortable contributing to research and design in addition to supporting team members in the ongoing maintenance of existing systems. Strong technical skills are required, as the successful candidate must be able to deliver solutions for use in a production environment.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary responsibilities include the enhancement of existing company NLP technologies and extension of those systems to new applications.  Emphasis is placed on the augmentation of various clinical knowledge resources (lexicons, nomenclatures, hierarchies, ontologies, and rule systems) underlying the core NLP and AI modules. Emphasis is also placed on evaluation of the performance of those components on clinical documentation at scale in production environments. Work includes the generation and interpretation of domain/solution analytics, and, in collaboration with engineering, enhancement of the underlying NLP modules and functionality. Primary responsibilities also include direct support of team members in the maintenance of company NLP systems for production environments and resolution of internal and external customer issues.  Work will involve all aspects of software design and development from system requirements definition to implementation, integration and testing.   

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 4 years of related professional work experience - significant academic NLP development experience will be considered for strong applicants with advanced degree
  • 4 years of experience in linguistic processes
  • 3 years of experience in algorithms and techniques within a computational domain with emphasis on text processing
  • 3 years of experience with natural language processing or formal linguistics: morphology, syntax and semantics
  • 3 years of experience with at least 2 of the following: Python, Java, C#
  • 3 years of experience in SQL
  • 3 years of experience integrating Copilot with GitHub or similar AI-assisted development tools to improve productivity and code quality
  • 3 years of experience with modern software development and DevOps ecosystems, such as:
    • GitHub (version control, pull requests, code reviews)
    • CI/CD pipelines and automated build/deployment workflows
  • 3 years of experience working with integrated development environments and tools such as:
    • Eclipse, Visual Studio
    • Artifact repositories such as Artifactory/JFrog
  • 3 years of experience building, deploying, and maintaining containerized images in scalable production environments

Preferred Qualifications:

  • Degree in Linguistics, Computer Science, or other Computational discipline
  • Exposure to LLMs & prompting
  • Experience with ontologies
  • Experience in medical coding or medical terminology 
  • Graduate degree
  • Experience with modern AI development tools and applied AI engineering workflows

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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