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Nlp Jobs in Ohio (NOW HIRING)

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation. * Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation. * Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and ...

Mettler Toledo AG

Data Scientist - AI Expert

Columbus, OH · On-site

$100 - $130/hr

Assess, design, build and deploy new end-to-end AI solutions incorporating analytics, ML, DL, NLP, agentic AI, etc. * Develop and maintain AI-based solutions based on business requirements ...

New

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful ...

Medpace, Inc.

AI Scientist

Cincinnati, OH · On-site

Lead the identification and development of AI tools such as NLP, LLM, and IA; * Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; * Work on a ...

ClifyX

Machine Learning Engineer

Dayton, OH · On-site

Responsibilities : • Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning. • Own end to end MLOps pipelines data ingestion, training, deployment ...

Medpace, Inc.

AI Scientist

Cincinnati, OH · On-site

Lead the identification and development of AI tools such as NLP, LLM, and IA; * Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; * Work on a ...

Goosehead

AI Agent Engineer

Westlake, OH

Design, build, and deploy agentic AI systems that leverage LLMs, NLP, and retrieval-augmented generation (RAG) pipelines to support both client-facing and agent-facing use cases. * Collaborate with ...

Forhyre

OH

$44.50 - $58.75/hr

Design, develop, and maintain automation frameworks and test scripts using Selenium, UFT / QTP, Botium Testing tool, C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing ...

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern sof tware engineering practices, consistent with the company's AI / ML engineering role ...

Phase2 Technology

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

Your work will leverage deep experience with ML‑based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

New

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

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Nlp information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do nlp jobs pay per year?

As of Aug 8, 2026, the average yearly pay for nlp in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

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

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

Is NLP a good career?

NLP (Natural Language Processing) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and are in demand across industries such as tech, healthcare, and finance. The field offers opportunities for research, development, and application of innovative solutions, making it a promising career choice for those interested in AI and language technologies.

What jobs can you do with natural language processing?

Jobs with natural language processing (NLP) include roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These positions involve developing algorithms, building language models, and analyzing text data using tools like Python, TensorFlow, or spaCy, often requiring knowledge of linguistics and programming skills.
What are the most commonly searched types of Nlp jobs in Ohio? The most popular types of Nlp jobs in Ohio are:
What are popular job titles related to Nlp jobs in Ohio? For Nlp jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Nlp jobs in Ohio look for? The top searched job categories for Nlp jobs in Ohio are:
What cities in Ohio are hiring for Nlp jobs? Cities in Ohio with the most Nlp job openings:
Nlp jobs near you
Infographic showing various Nlp job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 2% Part Time, and 7% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist - Advanced Analytics

Scalence L.L.C.

Columbus, OH • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Scalence L.L.C. is currently seeking a Data Scientist - Advanced Analytics. The role requires strong skills in Deep Learning, Visual Analytics, NLP, and relevant tools in ML/Ops.
Qualifications:
Required:
• strong skills in Deep Learning
• strong skills in Visual Analytics
• strong skills in NLP
• strong skills in all the relevant tools
• strong skills in ML/Ops
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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