ZipRecruiter

Log In

1

Senior Natural Language Processing Engineer Jobs in Chicago, IL

Isomer

Senior Product Engineer (Chicago)

Chicago, IL · On-site

$150K - $250K/yr

... our Senior Full Stack Product Engineer, you'll be one of the early engineers shaping both the ... natural language processing, or AI-driven features. Ideal Qualities * Startup Mindset: Eager to ...

Pwc

AI Engineer

Rosemont, IL · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Pwc

AI Engineer

Chicago, IL

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

fairlife

Senior Dairy Processing Engineer

Chicago, IL

$107K - $138K/yr

The Sr. Dairy Processing Engineer will come in with deep technical expertise in fluid milk membrane separations (especially ultrafiltration), thermal processing (HTST/HHST/UHT), and end-to-end milk ...

fairlife

Senior Dairy Processing Engineer

Chicago, IL

$107K - $138K/yr

The Sr. Dairy Processing Engineer will come in with deep technical expertise in fluid milk membrane separations (especially ultrafiltration), thermal processing (HTST/HHST/UHT), and end-to-end milk ...

fairlife

Senior Dairy Processing Engineer

Chicago, IL · On-site

$107K - $138K/yr

The Sr. Dairy Processing Engineer will come in with deep technical expertise in fluid milk membrane separations (especially ultrafiltration), thermal processing (HTST/HHST/UHT), and end-to-end milk ...

fairlife LLC

Senior Dairy Processing Engineer

Chicago, IL · On-site

$107K - $138K/yr

The Sr. Dairy ProcessingEngineerwill come in withdeep technical expertise in fluid milk membrane ... Will build and develop a team of 1-4 (e.g., process engineers, dairy scientists, technicians)

Reply

Senior AI Engineer

Chicago, IL · On-site

$140K - $180K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services ...

Reply

Senior AI Engineer

Chicago, IL · On-site

$140K - $180K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services ...

Reply

Senior AI Engineer

Chicago, IL · On-site

$140K - $180K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services ...

next page

Showing results 1-20

All JobsNatural Language Processing Engineer JobsSenior Natural Language Processing Engineer JobsSenior Natural Language Processing Engineer Jobs in Chicago, IL

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 2, 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 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 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 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 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:
What job categories do people searching Senior Natural Language Processing Engineer jobs in Chicago, IL look for? 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

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Chicago, IL • On-site

$170K - $230K/yr

Full-time

Re-posted 19 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.
What You Will Do:
  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency
  • Design and maintain Airflow-based orchestration for batch clinical workflows
  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers
  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards
  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers
  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)
  • Participate in the pod's on-call rotation
  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency
  • Author and review design docs for cross-pod work
  • Raise the engineering bar through code review and design review

Required Qualifications:
  • Strong command of Python in production environments
  • Experience designing, building, and integrating with microservices in production
  • Deployed data orchestration workflows in production (Airflow or equivalent)
  • Worked on cloud-native services (GCP preferred but not required)
  • Built monitoring, observability, and alerting for production systems
  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome
  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians

Preferred Qualifications:
  • Operated production systems hands-on - on-call rotations, incident response, postmortems
  • Experience building eval / quality measurement systems for ML or LLM outputs
  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)
  • Built internal platforms or SDKs that other engineers / scientists depended on
  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)
  • Contributions to relevant open-source projects

#LI-BL1
New York Pay Range - $170,000 - $230,000 USD
California Pay Range - $170,000 - $230,000 USD
Illinois Pay Range - $150,000 - $210,000 USD
Remote - USA Range - $150,000 - $210,000 USD
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply