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Nlp Jobs in Delaware (NOW HIRING)

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding of REST APIs, API Gateways and SPAs * Excellent problem-solving skills and ability to work in a ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Excellent understanding NLP, and AI/ML design and implementation concepts * Excellent understanding of REST APIs, API Gateways and SPAs * Excellent problem-solving skills and ability to work in a ...

Showing results 41-53

Nlp information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do nlp jobs pay per year?

As of Aug 10, 2026, the average yearly pay for 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 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 Delaware? The most popular types of Nlp jobs in Delaware are:
What are popular job titles related to Nlp jobs in Delaware? For Nlp jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Nlp jobs? Cities in Delaware with the most Nlp job openings:
Infographic showing various Nlp job openings in Delaware 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 $122,844 per year, or $59.1 per hour.

Applied AI/ML - Vice President

JPMorgan Chase & Co

Wilmington, DE

Full-time

Medical, Retirement

Re-posted 28 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.

Job responsibilities 

  • Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. 
  • Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives. 
  • Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
  • Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
  • Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency. 
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. 
  • Communicate AI/ML capabilities and results to both technical and non-technical audiences. 
  • Build AI Agents and chatbot
  • Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality. 

Required qualifications, capabilities, and skills 

  • Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. 
  • 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
  • Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production. 
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. 
  • Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph. 
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization. 
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures. 
  • Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. 

Preferred qualifications, capabilities, and skills 

  • Familiarity with the financial services industries. 
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). 
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. 
  • Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.
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

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits.  You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

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