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Help Nlp Engineer Jobs in Chicago, IL (NOW HIRING)

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

... software engineering, and domain expertise, while helping set technical direction, mentor team ... Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real ...

Chime Financial, Inc

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Help identify technology gaps and opportunities where AI/ML solutions can create measurable ... NLP applications and within financial or behavioral data domains * Strong experience across the end ...

Motorola

UX Designer and AI Strategist

Chicago, IL

We build and connect technologies to help protect people, property and places. Our solutions foster ... Identify opportunities to leverage AI (ML, NLP, generative AI) to solve user problems and create ...

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Showing results 21-40

All JobsHelp Nlp Engineer JobsHelp Nlp Engineer Jobs in Chicago, IL

Help Nlp Engineer information

See Chicago, IL salary details

$37.6K

$110.5K

$141.6K

How much do help nlp engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for help nlp engineer in Chicago, IL is $110,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $140,100.00 per year, depending on experience, location, and employer.

What is the difference between Help Nlp Engineer vs Nlp Engineer?

AspectHelp Nlp EngineerNlp Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may accept certificationsBachelor's or Master's in CS, AI, or related; strong programming and ML skills
Work EnvironmentCollaborative teams, research labs, or tech companies focusing on NLP projectsDevelopment teams, research groups, or product-focused environments in AI companies
Employer & Industry UsageUsed in tech firms, startups, and research institutions working on NLP solutionsCommonly employed in similar settings, often with more advanced responsibilities

The main difference is that Help Nlp Engineers often focus on supporting NLP projects with basic tasks, while Nlp Engineers handle more complex development and implementation. Both roles require similar educational backgrounds and work in comparable environments, but Nlp Engineers typically have more experience and responsibility.

What are popular job titles related to Help Nlp Engineer jobs in Chicago, IL?

For Help Nlp Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Help Nlp Engineer jobs in Chicago, IL look for?

The top searched job categories for Help Nlp Engineer jobs in Chicago, IL are:

Help Nlp Engineer jobs near you
Infographic showing various Help Nlp Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $110,516 per year, or $53.1 per hour.

Senior Data Scientist

Launch Consulting

Chicago, IL • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description


Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here.
The Role:
As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques.
Key Responsibilities:
  • Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes.
  • Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP.
  • Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development.
  • Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation.
  • Apply experimental design best practices (e.g. A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting.
  • Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.).
  • Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices.
  • Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing.
  • Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions.
Required Qualifications:
  • 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments.
  • Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face.
  • Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures.
  • Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems.
  • Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases.
  • Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale.
  • Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry.
  • Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment.
  • Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively.
Preferred Qualifications:
  • Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies.
  • Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD).
  • Certifications related to Epic, FHIR, or other health IT platforms are a plus.
  • Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation.
  • Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery.
Benefits & Compensation:
As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
The consulting industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the recruiter to ensure it's from @launchcg.com - and not a domain with an alternative extension like .net, .org or .jobs. Candidate safety is a top priority at Launch.
Launch Consulting is an equal opportunity employer. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your Launch representative, or contact us, so that we can discuss the appropriate alternatives available.

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