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Junior Machine Learning Engineer Jobs in Chicago, IL

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

PayPal

Machine Learning Engineer

Chicago, IL

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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 ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

1872 Consulting

Machine Learning Engineer

Chicago, IL · On-site

Computer Vision Engineer As a Computer Vision Engineer, you will be part of our AI Team working on ... Hands-on experience applying machine learning and deep learning to vision data, preferably direct ...

Zocdoc

Staff Machine Learning Engineer

Chicago, IL

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms We are seeking a Staff Machine Learning Engineer to join our Search team and enhance our core search product. You will ...

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

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 ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Indeed

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

UST Inc

AWS Machine Learning Engineer

Chicago, IL · On-site

$72K - $108K/yr

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Chicago, IL

Junior Machine Learning Engineer information

See Chicago, IL salary details

$34.5K

$74K

$112.8K

How much do junior machine learning engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for junior machine learning engineer in Chicago, IL is $73,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Chicago, IL? The most popular types of Machine Learning Engineer jobs in Chicago, IL are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Chicago, IL? For Junior Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Junior Machine Learning Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Junior Machine Learning Engineer jobs? Cities near Chicago, IL with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,964 per year, or $35.6 per hour.
Machine Learning Engineer (Chicago)

Machine Learning Engineer (Chicago)

Fitch Ratings

Chicago, IL • On-site

Full-time

Posted 27 days ago

Job description

Job Summary:
Fitch Ratings is a global leader in financial information services, and they are seeking a Machine Learning Engineer to join their Emerging Technology team. This role focuses on building and supporting Generative AI, Machine Learning, and Data Science solutions across the organization, collaborating with business partners and product owners to implement AI and ML technology.
Responsibilities:
• Implement AI & ML technology in collaboration with business partners and product owners
• Develop and support enterprise-level AI exploration tools and capabilities
• Provide guidance and support for safe development and deployment of AI
• Establish and maintain policies, guidelines, and processes for AI/ML governance, including third-party AI governance
• Work closely with product squads and partner teams to design, build, integrate, and deploy ML and GenAI solutions in production, while sharing best practices with other engineers
• Communicate ML and GenAI concepts clearly to technical and non-technical stakeholders, with a focus on practical application to Fitch use cases
• Collaborate with engineers, data scientists, and product partners to develop and deploy ML and GenAI solutions that deliver measurable business value
• Partner with data scientists and domain experts to identify practical opportunities where data, ML, and GenAI can improve business outcomes
• Build scalable services, pipelines, and workflows for ML and GenAI use cases, with guidance from senior engineers where needed
• Support production applications by helping maintain reliability, monitoring performance, and using metrics to improve existing ML solutions
• Use cloud services, primarily in AWS, to support data pipelines, model deployment, and LLM-based workflows
• Use Python and large-scale workflow orchestration tools (for example, Airflow) to build production-quality services, data pipelines, and integrations across diverse data sources and storage systems.
Qualifications:
Required:
• 3+ years of experience as a machine learning engineer or in a closely related software engineering role focused on ML systems.
• Experience writing production-quality Python code and applying sound software engineering practices.
• Strong foundation in machine learning concepts and practical experience applying modern ML techniques to real-world problems.
• Strong software engineering fundamentals, including code quality, automated testing, version control, observability, and performance optimization.
• Experience building or integrating Generative AI applications, such as retrieval-augmented generation, evaluation workflows, or agent-assisted systems.
• Experience building or improving search, retrieval, or data access layers that support ML or GenAI applications.
• Experience with containerized deployment and orchestration, such as Docker and Kubernetes.
• Experience with cloud-native ML and data services, especially in AWS. Familiarity with tools such as Bedrock, S3, SageMaker, Azure AI Search, or Azure OpenAI is helpful.
• Bachelor’s degree in computer science, machine learning, data science, applied mathematics, or a related field, or equivalent practical experience.
Preferred:
• Passion for using data and ML to drive better business outcomes for customers.
• Proven ability to work effectively in a distributed team environment and contribute in fast-paced settings.
• Familiarity with credit ratings agencies, regulations, and data products.
• Excellent written and verbal communication skills.
• Advocate of good code quality and architectural practices.
• Strong interpersonal skills and ability to work proactively as a team player.
Company:
Fitch Ratings is a global rating agency committed to providing the world’s credit markets with independent and prospective credit. Founded in 1913, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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