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Senior Natural Language Processing Engineer Jobs in Chicago, IL

Vizient, Inc

Lead Data Scientist

Chicago, IL · On-site

$118 - $206/hr

Partner with engineering and platform teams to deploy, monitor, and manage the lifecycle of ... Demonstrated expertise in statistical modeling, machine learning, natural language processing ...

Hinshaw & Culbertson

Senior Platform Developer

Chicago, IL · On-site +1

$130K - $150K/yr

Job Summary The Senior Platform Developer designs, develops, and maintains the firm's SharePoint ... natural language processing and document automation. Data & API Integration: Integrate Power ...

Vkore Solutions

GenAI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Architect end-to-end AI solutions that leverage machine learning, natural language processing, computer vision, and other AI technologies to solve complex business problems. * Work closely with ...

Saransh Inc

UI Developer

Chicago, IL · On-site

$51.50 - $67/hr

Understanding of Natural Language Processing (NLP) concepts and prompt engineering is a plus. (nice to have) * Experience with frontend build tools like Webpack, Vite, or similar bundlers for ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Hiring Alert | Senior GenAI/Python Engineer Location: Chicago, IL (Remote) Employment Type ... Experience developing natural-language-to-structured JSON payload pipelines * Strong experience ...

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Senior Natural Language Processing Engineer information

See Chicago, IL salary details

$77.3K

$124.8K

$175.6K

How much do senior natural language processing engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior natural language processing engineer in Chicago, IL is $124,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $138,600.00 per year, depending on experience, location, and employer.

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Chicago, IL?

The most popular types of Natural Language Processing Engineer jobs in Chicago, IL are:

What are popular job titles related to Senior Natural Language Processing Engineer jobs in Chicago, IL?

For Senior Natural Language Processing Engineer jobs in Chicago, IL, the most frequently searched job titles are:

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The top searched job categories for Senior Natural Language Processing Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Senior Natural Language Processing Engineer jobs?

Cities near Chicago, IL with the most Senior Natural Language Processing Engineer job openings:

Senior Natural Language Processing Engineer jobs near you

Generative AI Engineer III - State and Local Government

Deloitte

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted 7 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that focuses on transforming technology platforms and driving innovation for its clients. The AI and Data Science Engineer III role involves designing and deploying machine learning and AI solutions, maintaining data pipelines, and collaborating with various stakeholders to support AI-enabled products.
Responsibilities:
• Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
• Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
• Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
• Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
• Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
• 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
• 1+ years of technology consulting experience in the State Government or Local Government space
• Active certification in Python, PySpark, PyTorch, or TensorFlow
• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• Ability to obtain and maintain a US government security clearance
• 2+ years of experience deploying machine learning models into production environments
• 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
• 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
• 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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