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Nlp Practitioner Jobs (NOW HIRING)

Apetan Consulting

Data Scientist

Chicago, IL · Remote

Chicago IL - Remote Senior Data Scientist - AI, Machine Learning, NLP & Risk Analytics. This is ... Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI ...

Centific

Technical Intern

$40/hr

... 000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem ... Do you want to delve into the latest industry advancements in NLP, Computer Vision, Machine ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

... practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products. You will work on advanced machine learning, NLP, LLMs ...

GDIT

Senior Data Scientist

Concord, NC

This is a hands-on ML practitioner role-not a platform or infrastructure position. The Senior Data ... Build models across multiple domains including predictive analytics (logistics, readiness), NLP ...

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Nlp Practitioner information

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$41.5K

$130.3K

$200K

How much do nlp practitioner jobs pay per year?

As of Jun 21, 2026, the average yearly pay for nlp practitioner in the United States is $130,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $150,000.00 per year, depending on experience, location, and employer.

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

To thrive as an NLP Practitioner, you need a strong understanding of neurolinguistic programming techniques, excellent interpersonal skills, and a relevant certification or formal training in NLP. Familiarity with tools such as coaching frameworks, assessment instruments, and accredited NLP training programs is also important. Strong active listening, empathy, and effective communication skills set outstanding practitioners apart in their ability to build rapport and foster positive client outcomes. These abilities are crucial for successfully guiding clients through personal development and behavioral change processes.

What can an NLP practitioner do?

An NLP practitioner develops and applies natural language processing techniques to analyze and interpret human language data. They work with tools like Python, NLP libraries, and machine learning models to create applications such as chatbots, sentiment analysis systems, and language translation tools, often requiring strong programming and linguistic skills.

What are common challenges faced by NLP Practitioners in their daily work?

One common challenge NLP Practitioners face is tailoring techniques to meet each client’s unique needs, as individuals respond differently to various interventions. Practitioners may also encounter clients who are initially skeptical or resistant, requiring patience and adaptive communication strategies. Balancing multiple clients, maintaining confidentiality, and staying updated with continuing education can also be demanding aspects of the role. However, overcoming these challenges is rewarding, as it leads to meaningful client progress and personal fulfillment.

What is an NLP Practitioner job?

An NLP (Neuro-Linguistic Programming) Practitioner is a professional who uses NLP techniques to help individuals improve their mindset, communication, and personal development. They apply psychological strategies to reprogram limiting beliefs, enhance confidence, and facilitate behavioral change. NLP Practitioners often work as coaches, therapists, or consultants, assisting clients in achieving specific goals in areas like business, relationships, and personal growth.

What is a NLP practitioner's salary?

The average salary for an NLP practitioner varies depending on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Professionals with advanced skills in machine learning, programming, and data analysis tend to earn higher salaries. Certifications in NLP or related fields can also influence earning potential.

What jobs pay $10,000 a month without a degree?

For NLP practitioners, high-paying roles such as freelance consulting, specialized AI project work, or remote contract positions can reach $10,000 per month without a formal degree, especially with strong skills in machine learning, programming, and natural language processing tools. These roles often require demonstrated expertise, a strong portfolio, and experience working with clients or companies directly.

What jobs can you get with NLP certification?

With an NLP practitioner certification, you can pursue roles such as natural language processing analyst, data scientist, machine learning engineer, or AI specialist. These positions typically involve developing and implementing algorithms for language understanding, requiring skills in programming, data analysis, and familiarity with NLP tools like Python and TensorFlow.
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Nlp Practitioner jobs near you
Infographic showing various Nlp Practitioner job openings in the United States as of June 2026, with employment types broken down into 25% Locum Tenens, 1% Internship, 68% Full Time, 1% Part Time, 2% Contract, and 3% Nights. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $130,295 per year, or $62.6 per hour.
Senior NLP Research Engineer - Artificial Intelligence

Senior NLP Research Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Senior NLP Research Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049310
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior NLP Engineers with a strong expertise and passion for Natural Language Processing research and applications to join our team.
Natural Language Processing (NLP) methods are used to process collections of unstructured and semi-structured texts in order to extract semantic meaning, enhance the quality of the data and derive actionable insights and analytics.
Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations.
You'll have the opportunity to:
  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Design, train, experiment, and evaluate NLP models, algorithms and solutions
  • Demonstrate technical leadership by owning cross-team projects
  • Stay current with the latest research in NLP and incorporate new findings into our models and methodologies
  • Represent Bloomberg at scientific and industry conference and in open-source communities
  • Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:
  • Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
  • Ph.D. in ML, NLP or a relevant field and 2+ years of relevant work experience or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 5+ years of relevant work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
  • A track record of authoring publications in top conferences and journals is a strong plus
  • Experience with deep learning frameworks such as PyTorch
  • Proficiency in software engineering

Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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