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Machine Learning Natural Language Processing Jobs

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

AIToolboard

$150 - $200/hr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist ... Stay current with the latest advancements in AI, machine learning, and NLP through academic ...

S&P Global

Machine Learning Engineer II

New York, NY · On-site

With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.

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How much do machine learning natural language processing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning natural language processing in the United States is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.63 per hour, depending on experience, location, and employer.

What is a machine learning natural language processing specialist?

A Machine Learning Natural Language Processing (NLP) specialist is a professional who designs, develops, and implements algorithms and models that allow computers to understand, interpret, and generate human language. They use machine learning techniques to work on tasks such as text classification, sentiment analysis, language translation, and speech recognition. NLP specialists often work with large datasets and require strong skills in programming, linguistics, and data science. Their work enables applications like chatbots, virtual assistants, and search engines to better process human language.

What are the key skills and qualifications needed to thrive as a machine learning natural language processing specialist?

A Machine Learning Natural Language Processing (NLP) specialist needs strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and advanced knowledge in linguistics or computational linguistics, often supported by a relevant degree. Familiarity with NLP libraries (like NLTK, spaCy, or Hugging Face Transformers), experience with machine learning frameworks (such as TensorFlow or PyTorch), and sometimes certifications in data science or AI are typically required. Excellent problem-solving ability, collaboration, and effective communication are crucial soft skills to excel in this field. These skills enable the development of robust NLP models, smooth integration into real-world applications, and effective teamwork on complex projects.

How do professionals in machine learning natural language processing typically collaborate with cross-functional teams?

In Machine Learning Natural Language Processing (NLP) roles, collaboration with cross-functional teams is essential. NLP professionals frequently work alongside data engineers to gather and preprocess large datasets, software developers to integrate models into products, and product managers to align technical solutions with business goals. Regular communication, agile methodologies, and collaborative problem-solving sessions are common to ensure that NLP models are both technically sound and user-oriented. This teamwork not only enhances the effectiveness of NLP solutions but also provides opportunities to learn from colleagues with diverse expertise.

What cities are hiring for Machine Learning Natural Language Processing jobs?

Cities with the most Machine Learning Natural Language Processing job openings:

What states have the most Machine Learning Natural Language Processing jobs?

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Machine Learning Natural Language Processing jobs near you
Infographic showing various Machine Learning Natural Language Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,370 per year, or $19.9 per hour.

AI Developer Natural Language Processing Machine Learning AWS

New York, NY • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees
Learn more about Accord Technologies Inc.external

Contractor

Re-posted 6 days ago

Job description

AI Developer – Natural Language Processing,  Machine Learning & AWS 
Loction: New York, NY  (Need Onsite day 1, hybrid 3 days from office).
Duraiton: Long term
Position type: W2 contract

Job Description:

We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the financial sector, particularly in equities, will be considered an advantage. 

Responsibilities:

  • Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities
  • Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
  • Collaborate with data scientists and engineers to integrate AI models into production environments.
  • Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
  • Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
  • Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
  • Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices.

Requirements:

  • Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
  • Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
  • Proven experience managing and operating MCP or similar machine learning platforms.
  • Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
  • Knowledge of traditional machine learning models applied on structured big data is a plus.
  • Prior experience in equities or financial data analysis is highly preferred.
  • Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 
Preferred,
  • Hands-on experience deploying AI models in financial or equities contexts.
  • Familiarity with data pipeline development and big data processing tools.