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Machine Learning Testing Jobs in Illinois (NOW HIRING)

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

... build machine learning models while collaborating with various teams and stakeholders ... testing datasets • Analyze raw datasets using descriptive statistics, working directly with ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site

$85 - $100/hr

... Machine Learning, and Operations Research models that transform business objectives into data ... Conduct testing and validation of models to ensure robustness, scalability, and reliability in ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

... Machine Learning, and Operations Research models that transform business objectives into data ... Conduct testing and validation of models to ensure robustness, scalability, and reliability in ...

84.51˚

Lead Data Scientist (P3764)

Chicago, IL · On-site

... machine learning and deep learning frameworks such as PyTorch or TensorFlow. • Strong foundation in statistics, experimentation, and data analysis, including design of experiments and A/B testing ...

Eliassen Group

Senior AI/ML Engineer

Springfield, IL · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... Support production deployments, smoke testing, monitoring, root cause analysis, and issue ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$105K - $139K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

New

Ritchie Bros.

Staff Data Scientist

Westchester, IL · On-site

The Staff Data Scientist will implement scalable, machine learning-based solutions to drive growth ... Strong foundation in statistics, experimental design (A/B testing), and core ML algorithms ...

Plenful

Senior Software Engineer, ML Ops

Chicago, IL · Remote

$126K - $166K/yr

About the Role We are hiring an exceptional Senior Machine Learning Backend Engineer to lead the ... Implement best practices for CI/CD, testing (Pytest), and version control (Git) to ensure reliable ...

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How much do machine learning testing jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for machine learning testing in Illinois is $22.11, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $24.71 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning testing roles are generally well-paid due to the specialized skills required, such as knowledge of algorithms, programming, and data analysis. Salaries vary based on experience, location, and company size, but they tend to be higher than average for tech-related positions.

What jobs pay $2000 a day?

In the field of machine learning testing, highly specialized roles such as senior machine learning engineers, AI research consultants, or freelance experts with advanced skills and certifications can command daily rates of $2000 or more. These positions typically require extensive experience, strong technical knowledge, and often involve consulting or contract work for organizations seeking advanced AI solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Testing position, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

How much do AI testers get paid?

AI testers, a role within machine learning testing, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with skills in programming, data analysis, and testing tools can earn higher wages.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What are the most commonly searched types of Machine Learning Testing jobs in Illinois? The most popular types of Machine Learning Testing jobs in Illinois are:
What are popular job titles related to Machine Learning Testing jobs in Illinois? For Machine Learning Testing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Testing jobs in Illinois look for? The top searched job categories for Machine Learning Testing jobs in Illinois are:
Machine Learning Testing jobs near you

Senior Director, Data Science & Gen AI

Bcbsa

Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Job Description Summary
The Senior Director, Data Science and GenAI is a senior leadership role focused on leading the development and application of Generative AI and advanced machine learning capabilities embedded across BCBSA's data and analytic assets. This role strategically sets the direction and portfolio of activities to embed AI into BCBSA's Blue System of intelligence data assets, and work across the BCBS System to make those capabilities available to BCBS Plans.
This role sets the technical and analytic direction for Generative AI and Machine Learning capabilities embedded across BCBS System data assets and BHI's Plan-level product offerings, operating in environments characterized by high ambiguity, rapid technological evolution, and complex data ecosystems. The Senior Director applies deep expertise in advanced analytics, machine learning, and GenAI to evaluate tradeoffs, establish standards, and guide critical decisions related to model selection, architecture, performance, scalability, and responsible AI practices. The role is accountable for navigating complex, non-routine problem spaces and translating emerging technologies into sustainable, enterprise-grade product capabilities with measurable business impact on cost of care, quality improvement, product differentiation, and revenue growth.
This role serves as a subject matter expert across the BCBS System and the broader healthcare industry in advanced data science, applying machine learning, statistical, and mathematical techniques across heterogeneous and complex healthcare data. This role leads BCBSAs efforts to innovate and implement emerging AI technologies in its enterprise data and analytics assets, and acts as a executive thought leader to BCBSA technology and analytics committees . This leader works within BCBSA and BCBS Plans to set standards and best practices for computational, algorithmic, and predictive analytics to ensure solutions are scalable, responsible, and enterprise-ready.
Working closely with Product, Engineering, and other BHI data science teams, the Senior Director leads end-to-end GenAI initiatives-from opportunity identification and proof-of-concept development through validation and production deployment-while maintaining a hands-on role in the most complex, high-risk, or novel analytic and GenAI designs. The role also mentors a high-performing data science team and advises leadership on the effective use of Generative AI to drive product differentiation and measurable business impact.

Job Description

Responsible for settingthe enterprise technical and analytic strategy for Generative AIfor BCBSA's BSI and national data assets, including long-term vision, architectural direction,capability roadmap, and standards for scalable, responsible AI embedded across all products.

Serve as a trusted advisor to executive leadership, with accountability for key technical and analytic decisions, translating complex models and analytic findings into actionable insights that inform and activate business strategies.

Lead and individually contribute to large-scale data science initiatives, including end-to-end machine learning and GenAI model development, experimentation, and implementation.

Act as the subject matter expert in computational algorithms, model evaluation, and advanced data interpretation to assess performance, tradeoffs, and impact.

Lead and manage data science and machine learning R&D efforts acrossmultiple product lines, data domains (medical, pharmacy, emerging clinical data), and customer-facing platforms.

Partner with ProductStrategytoidentifyand apply Generative AI and advanced analytics within the product development process, with a focus on emerging healthcare trends and priorities.

Collaborate closely with Data Engineering to design scalable applications andoptimaldataarchitectureleveragingstructured and unstructured data.

Establish and govern enterprise standardsand best practices for analysis plans, ensuring rigor, reproducibility, ethical AI use, and compliance with regulatory and security requirements.

Drive education and adoption of data science and Generative AI across the organization by communicating vision, use cases, and value.

Manage and develop senior data science talent, supporting professional growth andsuccessionreadiness.

Manage external analytics vendors and partnerships, including relationships with AI vendors and academic experts in LLMs and NLP.

Work with executive leadership and cross-functional stakeholders to define requirements and develop AI and analytics R&D and strategic roadmaps.

Evaluate and implement new AI, ML, and Generative AI tools and technologies to enhance organizational capability and competitiveness.

Oversee the development of training datasets, data preprocessing pipelines, and testing frameworks to support advanced analytics and AI solutions.

The posting range for this position is:
$215,000.00-$295,000.00

Qualifications:

Education

  • Master's Degree Focused on machine learning (ML) or adjacent fields, including Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field

Experience

  • At least 15 years experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects.

  • Experience withstreaming and near-real-time data in healthcare (such as HL7 streams or FHIR applications) industry.

  • Experience withestablishingand governing a Machine Learning Operationalization (MLOps) program, including the use ofMLOpstools (e.g.,MLFlow, Kubeflow).

  • Experience with major cloud computing platforms, AWS experience is highly preferred.

  • Experience with cloud-based data-as-a-service platforms (e.g., Snowflake, Synapse, Databricks).

  • Experience with Agile development practices, including development frameworks (e.g., Scrum or Kanban) and tools for continuous integration and deployment (CI/CD).

  • Experience working with Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), and other advanced analytics.

Knowledge Skills and Abilities

  • Strong fundamental knowledge of probability theory, stochastic systems, Bayesian inference, predictive modeling, supervised/unsupervised/deep learning Natural language processing experience, particularly in the biological and medical domains.

  • A record of successful formulation, approval, and implementation of organizational strategies around advanced analytics in AI/ML.

  • Expertisein using machine learning and analytic tools such as SQL, R, and/or Python to analyze data in applied professional projects.

  • Familiarity with relational databases (e.g., MS SQL, Oracle, Postgres, MySQL).

  • Expertise in visualizing and manipulating big data sets.

  • Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.

  • Demonstrated ability to deliver successful, profitable, repeatable, referenced analytic solutions.

  • Proven ability to develop staff to deliver world-class analytic solutions.

  • Knowledgeable in complex modeling topics, advanced statistics/biostatistics, algorithm design, and ML software packages.

    #LI_HYBRID

    The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate's position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs.This job is also eligible for annual bonus incentive pay.

    We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees.

    Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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