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Machine Learning Architect Jobs in Illinois (NOW HIRING)

IL · On-site

$17.50 - $20.50/hr

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and ... Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio ...

IL · On-site

$17.50 - $20.50/hr

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and ... Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio ...

Enterprise AI Architect

Itasca, IL · On-site

$67.25 - $86.75/hr

Lead architecture for generative AI, copilots, AI agents, RAG, machine learning, and intelligent workflows. * Design agentic and multi-agent solutions with clear controls, escalation paths, and human ...

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Solution Architect (P4643)Cincinnati, OH; Chicago, ILOverview: 84.51° is a retail data science ... What You'll DoPartner with product managers, engineers, data scientists, machine learning engineers ...

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Solution Architect (P4643)Cincinnati, OH; Chicago, ILOverview: 84.51° is a retail data science ... What You'll DoPartner with product managers, engineers, data scientists, machine learning engineers ...

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

What You'll Do Partner with product managers, engineers, data scientists, machine learning ... Help define practical architecture patterns for cloud applications, APIs, data pipelines, semantic ...

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

What You'll Do Partner with product managers, engineers, data scientists, machine learning ... Help define practical architecture patterns for cloud applications, APIs, data pipelines, semantic ...

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in regulated industries. * Strong enterprise architecture background and ability to align AI solutions with ...

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in regulated industries. * Strong enterprise architecture background and ability to align AI solutions with ...

AI Data Solutions Architect

Lincolnshire, IL · On-site

$67 - $86.25/hr

This role is responsible for designing and supporting the data architecture that enables AI and machine learning initiatives across the organization. The ideal candidate will bring a strong blend of ...

Insurance AI Architect

Mundelein, IL · On-site

$64.25 - $84.75/hr

AI Architect, AI & Automation About the Role The applicant should have deep, hands-on experience ... Predictive and prescriptive Machine Learning models * Computer Vision * Natural Language Processing ...

IL

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer ...

Showing results 41-60

Machine Learning Architect information

See Illinois salary details

$45.1K

$124.8K

$195.3K

How much do machine learning architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning architect in Illinois is $124,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $160,900.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are the most commonly searched types of Machine Learning Architect jobs in Illinois?

The most popular types of Machine Learning Architect jobs in Illinois are:

Infographic showing various Machine Learning Architect job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,768 per year, or $60 per hour.

Lead Machine Learning / Data Science Engineer

CapTech Consulting

Chicago, IL • On-site

$57.50 - $76/hr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago


Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience providing technical leadership and mentoring other engineers in data engineering space
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.