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Machine Learning Architect Jobs in Illinois (NOW HIRING)

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Your primary focus will be to leverage your expertise in software development, machine learning algorithms, and data infrastructure to architect, develop, and optimize machine learning solutions. You ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... This is an initiative where you'll have the rare opportunity to architect solutions from scratch ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Your primary focus will be to leverage your expertise in software development, machine learning algorithms, and data infrastructure to architect, develop, and optimize machine learning solutions. You ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Your primary focus will be to leverage your expertise in software development, machine learning algorithms, and data infrastructure to architect, develop, and optimize machine learning solutions. You ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Your primary focus will be to leverage your expertise in software development, machine learning algorithms, and data infrastructure to architect, develop, and optimize machine learning solutions. You ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

This is an initiative where you'll have the rare opportunity to architect solutions from scratch ... Understanding of machine learning fundamentals - neural network architectures, inference ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

This is an initiative where you'll have the rare opportunity to architect solutions from scratch ... Understanding of machine learning fundamentals - neural network architectures, inference ...

IMC

Machine Learning Research Lead

Chicago, IL

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Exposure to developing repeatable architectural patterns; ability to identify redundancies and ...

IMC

Principal Machine Learning Engineer

Chicago, IL · On-site

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform - influencing architecture, driving best practices, and solving high-leverage problems. You'll ...

IMC Inc

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform - influencing architecture, driving best practices, and solving high-leverage problems. You'll ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Experience developing repeatable architectural patterns; ability to identify redundancies and ...

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All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Illinois

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 Jul 1, 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 typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

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

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 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:
What are popular job titles related to Machine Learning Architect jobs in Illinois? For Machine Learning Architect jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Architect jobs in Illinois look for? The top searched job categories for Machine Learning Architect jobs in Illinois are:
Machine Learning Architect jobs near you
Principal Architect - Machine Learning

Principal Architect - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 29 days ago

United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with ML engineers, data scientists and data engineers. This role will design, architect, implement and lead key components of the Machine Learning Platform, Gen AI/ML business use cases, and establish processes and best practices.
  • Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United
  • Set up containers and Serverless platform with cloud infrastructure
  • You will design and develop tools and apps to enable ML automation using AWS ecosystem
  • Build data pipelines to enable ML models for batch and real-time data
  • Hands on development expertise of Spark and Flink for both real time and batch applications
  • Support large scale model training and serving pipelines in distributed and scalable environment
  • Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
  • Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
  • Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
  • Develop, optimize, fine-tune Generative AI/LLM models to improve performance and accuracy and deploy them

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in
    Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
  • 5+ years of software engineering experience with languages such as Python, Go, Java, or C/C++
  • 5+ years of experience in machine learning, deep learning, and natural language processing
  • Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++
  • Strong technical leadership and familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines
  • Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc
  • Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
  • Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X
  • Experience with generative models such as GANs, VAEs, and autoregressive models
  • Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs
  • LLM evaluation: Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
  • LLM debugging: Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
  • LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure
  • Experience with LLMOps (Large Language Model Operations) or AgenticOps (Agentic Operations) to manage the end-to-end lifecycle of large language models
  • Experience with generative ai methods such as retrieval augmented generation (RAG) and instruction fine tuning
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's/PhD degree in
    Computer Science or related STEM field
  • 5 + years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
  • 5 + years of experience with Big Data technologies such as Spark, Flink and SQL programming
  • 5 + years of experience with cloud-native DevOps, CI/CD
  • 3 - 5 + years of relevant enterprise Architecture experience
  • 1+ years of experience with Generative AI/LLMs

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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