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Nlp Practitioner Jobs (NOW HIRING)

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Key ResponsibilitiesDesign, develop, and deploy predictive models, natural language processing (NLP ... Scrum Master, SAFe Practitioner)Ability to mentor junior data scientists and lead cross ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Citi

Generative AI Senior Delivery Lead

Irving, TX · On-site

... AI practitioner with end-to-end experience for the execution and deployment of cutting-edge ... Advanced NLP skills (NER, dependency parsing, text classification, topic modeling). Expertise in ...

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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 Sep 10, 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 is an NLP practitioner?

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 are the key skills and qualifications needed to thrive as an NLP practitioner?

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 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.

Are NLP Practitioner certifications worth it?

NLP Practitioner certifications can enhance credibility and demonstrate foundational knowledge of neuro-linguistic programming techniques, which may benefit professionals in coaching, therapy, or personal development roles. However, their value depends on industry recognition and individual career goals, as practical experience and skills often weigh more in hiring decisions.

How much do NLP practitioners make?

NLP practitioners typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills in machine learning and programming can earn higher salaries.

What jobs can you get with NLP certification?

NLP practitioners can pursue roles such as natural language processing engineer, data scientist, machine learning engineer, or AI researcher. These jobs typically require skills in programming, data analysis, and familiarity with NLP tools like Python, TensorFlow, or spaCy.
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Nlp Practitioner jobs near you
Infographic showing various Nlp Practitioner job openings in the United States as of September 2026, with employment types broken down into 4% As Needed, 81% Full Time, 13% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $130,295 per year, or $62.6 per hour.

Lead Software Engineer - Agentic AI, Java/Python

Jersey City, NJ • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$156K - $215K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description


We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.
  • Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven software solutions.
  • Translate business requirements into robust software and AI/ML specifications, define milestones, and ensure timely delivery using Agile methodologies.
  • Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants
  • Identify opportunities to automate and remediate recurring issues, improving overall system reliability.
  • Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills
  • Formal training or certification in software engineering concepts and 5+ years applied experience
  • Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)
  • Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability
  • Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants
  • Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
  • Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS)
  • Hands-on practical experience delivering system design, application development, testing, and operational stability

Preferred qualifications, capabilities, and skills
  • Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)
  • AWS Certifications (Solution Architect Associate or Professional) are advantageous
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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