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Privacy Preserving Machine Learning Jobs in Naperville, IL

Pwc

Tax Innovation - AI Engineer - Manager

Chicago, IL

$99K - $266K/yr

... security, privacy, compliance, Responsible AI, data quality, and auditability requirements ... Certifications aligned to artificial intelligence, machine learning, data engineering, or cloud ...

TransUnion

AI Research & Innovation Lead

Chicago, IL · On-site

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team ... Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive ...

Transunion

AI Research & Innovation Lead

Chicago, IL · On-site

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team ... Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive ...

TransUnion

AI Research & Innovation Lead

Chicago, IL

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team ... Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive ...

Apex Systems

Senior IT Project Manager

Bolingbrook, IL · On-site

$129K - $130K/yr

... AI, machine learning, data science, or generative AI solutions. * Demonstrated success managing ... You can access our privacy policy at Everforth Apex Benefits Overview: Everforth Apex offers a ...

DRW

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ... Privacy Notice for information about certain legal rights at #LI-DNI

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... machine learning platforms Design and implement data access controls, identity management, and ... e.g., data integrity, privacy, and security controls) Cloud & AutomationDevelop and manage ...

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... machine learning platforms Design and implement data access controls, identity management, and ... e.g., data integrity, privacy, and security controls) Cloud & AutomationDevelop and manage ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team ... Experience in genAI-powered machine learning, such as agentic workflows, ontology designs, and ...

Infosys

Principal - AI Architect - Insurance

Lisle, IL · On-site

Predictive and prescriptive Machine Learning models * Computer Vision * Natural Language Processing ... Experience with AI governance, responsible AI practices, model risk management, and data privacy ...

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Showing results 41-60

All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Naperville, IL

Privacy Preserving Machine Learning information

See Naperville, IL salary details

$99.4K

$115.3K

$129.3K

How much do privacy preserving machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for privacy preserving machine learning in Naperville, IL is $115,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $128,800.00 per year, depending on experience, location, and employer.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Privacy Preserving Machine Learning jobs in Naperville, IL?

For Privacy Preserving Machine Learning jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Privacy Preserving Machine Learning jobs in Naperville, IL look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Privacy Preserving Machine Learning jobs?

Cities near Naperville, IL with the most Privacy Preserving Machine Learning job openings:

Privacy Preserving Machine Learning jobs near you

Tax Innovation - AI Engineer - Manager

Pwc

Chicago, IL

$99K - $266K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

As a Tax Innovation - Artificial Intelligence Engineer, you will lead the design, development, and deployment of AI solutions to enhance performance and capabilities within our Tax practice. You will oversee client engagement workstreams, guide multidisciplinary teams, and translate complex business needs into scalable, production-ready AI solutions. As a Manager, you will leverage your technical and leadership skills to mentor junior staff, manage projects, and navigate ambiguity while upholding PwC's quality standards.

In this role at PwC, you will focus on building AI solutions using foundation models, machine learning, agentic systems, retrieval technologies, and modern software engineering practices. You will guide teams through solution design, experimentation, integration, deployment, and ongoing optimization while addressing security, compliance, data quality, and auditability requirements. Your intellectual curiosity and ability to embrace technology and innovation will help drive quality delivery and identify new opportunities for our clients and firm.

Responsibilities

- Leading the design, development, and deployment of scalable AI and GenAI solutions
- Translating business requirements into secure, production-ready AI architectures and applications
- Applying foundation models, machine learning, natural language processing, retrieval, and agentic technologies to solution design
- Leading experimentation and evaluation to validate solution feasibility, quality, and performance
- Designing data, knowledge, and retrieval solutions, including data integration, document processing, vector search, and retrieval-augmented generation
- Developing AI applications using Python, APIs, and modern software engineering practices
- Implementing agentic workflows, orchestration patterns, and human-in-the-loop controls
- Applying MLOps and LLMOps practices to support deployment, monitoring, quality measurement, and optimization
- Confirming AI solutions meet security, privacy, compliance, Responsible AI, data quality, and auditability requirements
- Collaborating with stakeholders to identify business and data challenges and refine solutions
- Managing project workstreams and guiding teams through complex delivery challenges
- Coaching and providing feedback to team members to support skill development and performance

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to artificial intelligence, machine learning, data engineering, or cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation, Generative AI, and Machine Learning
- Applying foundation models, Natural Language Processing, and Retrieval-Augmented Generation techniques
- Utilizing Python to develop AI applications and integrate APIs
- Developing agentic solutions and orchestration workflows
- Applying data integration, modeling, and retrieval techniques to enterprise AI solutions
- Implementing MLOps and LLMOps practices for production AI systems
- Applying security, Responsible AI, compliance, and data quality requirements
- Leading AI engineering workstreams and coaching teams through solution delivery

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $266,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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