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Nlp Practitioner Jobs (NOW HIRING)

CoreWeave

Senior Software Engineer, molab

Manhattan, NY · On-site

$134K - $177K/yr

... practitioners and researchers in AI, ML, data engineering, NLP, or other quantitative work Company : CoreWeave provides cloud infrastructure services designed to support artificial intelligence and ...

6sense

Sr. Data Scientist

San Francisco, CA · On-site

$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 ...

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 ...

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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 Jul 11, 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 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.

More about Nlp Practitioner jobs
What cities are hiring for Nlp Practitioner jobs? Cities with the most Nlp Practitioner job openings:
What are the most commonly searched types of Nlp Practitioner jobs? The most popular types of Nlp Practitioner jobs are:
What states have the most Nlp Practitioner jobs? States with the most job openings for Nlp Practitioner jobs include:
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Nlp Practitioner jobs near you
Infographic showing various Nlp Practitioner job openings in the United States as of July 2026, with employment types broken down into 16% Locum Tenens, 1% Internship, 78% Full Time, 1% Part Time, 2% Contract, and 2% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $130,295 per year, or $62.6 per hour.

Lead Software Engineer - Agentic AI, Java/Python

JPMorganChase

Jersey City, NJ • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary:
JPMorganChase is one of the oldest financial institutions, providing innovative financial solutions to a wide range of clients. As a Lead Software Engineer, you will enhance and deliver technology products while leading a team to develop AI-driven software solutions that align with business objectives.
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.
Qualifications:
Required:
• 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:
• 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
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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