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Machine Learning Nlp Jobs in Delaware (NOW HIRING)

OneMain Financial

VP/MD Analytics

Wilmington, DE · On-site

... machine learning systems in a FCRA governed context * Applied experience in a variety of modeling techniques like bagging, boosting, NLP and so forth, as was feature engineering * Proven experience ...

Posted today

Athenago

AI Engineering Intern

Wilmington, DE

Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models. * Knowledge of ...

Athena LLC

Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models. * Knowledge of ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding ...

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI ... Extensive hands‑on technical experience with machine learning frameworks, libraries, and APIs ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Design and develop scalable AI platforms to support various machine learning and deep learning ... Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding ...

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Machine Learning Nlp information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do machine learning nlp jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning nlp in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a machine learning NLP?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What does a machine learning NLP do?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning NLP position?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Are machine learning NLP engineers in demand?

Machine learning NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in deep learning frameworks, Python, and NLP tools to develop and improve AI language models, making this a strong career field with positive job growth prospects.

What are popular job titles related to Machine Learning Nlp jobs in Delaware?

For Machine Learning Nlp jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Machine Learning Nlp jobs in Delaware look for?

The top searched job categories for Machine Learning Nlp jobs in Delaware are:

Machine Learning Nlp jobs near you
Infographic showing various Machine Learning Nlp job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

John Snow Labs US-Based Healthcare Data Scientist

John Snow Labs

Lewes, DE • On-site, Remote

Contractor

Re-posted 11 days ago

Job description

Company Description
John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.
Job Description
John Snow Labs is seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines, and conducting comprehensive exploratory data analysis and data enrichment.
Qualifications
Key Responsibilities:
  • Train, fine tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage.
  • Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information from multiple medical data sources.
  • Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large language models, and time series forecasting pipelines tailored to address specific business needs.
  • Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness.
  • Engage directly with customers, requiring strong oral and written communication skills to convey complex technical concepts clearly.

Mandatory Skills:
  • Proven experience in consistently delivering real-world projects covering the key responsibilities. Knowledge that is limited to an academic setting, or to using existing APIs to building applications, is not sufficient for this role.
  • Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey.
  • Strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial.
  • A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
  • Experience with John Snow Labs' technology stack, such as Spark NLP or the medical language models, is a plus.

What We Offer:
  • A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes.
  • Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams.
  • The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.

To apply, please include the words 'John Snow Labs' in your cover letter and detail why you believe you are the best fit for this role. This is more than just a contract - it's a chance to make a real difference.
Additional Information
Our Commitment to You
At John Snow Labs, we believe that diversity is the catalyst of innovation. We're committed to empowering talented people from every background and perspective to thrive.
We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com
  • We are a fully virtual company, collaborating across 28 countries.
  • This is a contract opportunity, not a full-time employment role.
  • This role requires the availability of at least 30-40 hours per week.

Apply