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Junior Full Stack Machine Learning Engineer Jobs in Chicago, IL

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

Our products are delivered with a full monitoring solution to ensure our products continue to ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Referrals Only

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end ... For additional information, please see our full Thoughtworks AI Policy for Recruitment. EEO ...

Until

Machine Learning Engineer / Scientist

Mundelein, IL

$140K - $240K/yr

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars ...

Globant

Full Stack Engineer

Chicago, IL · On-site

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Other AWS services not mentioned above (Hosted DBs, SQS, Machine Learning) * Terraform Additional ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in ...

Bespoke Labs

Machine Learning Engineer

Chicago, IL

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Chicago, IL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Gary, IN

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Aurora, IL

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

Our products are delivered with a full monitoring solution to ensure our products continue to ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Bespoke Labs

Machine Learning Engineer

Gary, IN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Aurora, IL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Hammond, IN

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Hammond, IN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed's construction robots smarter, faster, and more autonomous. You will develop ...

Kanak Elite Services Inc

Java Full Stack Developer

Chicago, IL · On-site

$54 - $69.75/hr

Role: JAVA FULL STACK DEVELOPER Location: Chicago, IL Hybrid (Locals only) Job Summary: We are ... Lead code reviews and mentor junior developers. * Write unit, integration, and automation tests to ...

DataDelivers LLC

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

Full Stack Engineer Product Strategy & Technology Team (PST) Reports to: Director of Product Development. Location: Schaumburg IL Hybrid schedule (in office Monday, Tuesday, Thursday). The Full Stack ...

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Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer Jobs in Chicago, IL

Junior Full Stack Machine Learning Engineer information

See Chicago, IL salary details

$47.9K

$97.4K

$146.3K

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

As of Aug 8, 2026, the average yearly pay for junior full stack machine learning engineer in Chicago, IL is $97,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $98,400.00 per year, depending on experience, location, and employer.

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

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Chicago, IL? The most popular types of Full Stack Machine Learning Engineer jobs in Chicago, IL are:
What are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Chicago, IL? For Junior Full Stack Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Chicago, IL are:
Junior Full Stack Machine Learning Engineer jobs near you
Infographic showing various Junior Full Stack Machine Learning Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,392 per year, or $46.8 per hour.

Senior AI Machine Learning Engineer

The Hartford Financial Services Group, Inc.

Chicago, IL • On-site, Remote

$107K - $147K/yr

Full-time

Re-posted 2 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 303 rated insurance

Job description

Sr Data Engineer - GE07BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team.
The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products that optimize customer interactions across omnichannel journeys, supporting operational areas such as the Contact Center, Premium Audit, and Billing.
As a Senior Machine Learning Engineer, you will play a critical role in designing, building, and operationalizing production-grade AI solutions-partnering closely with product, engineering, and operations leaders to deliver measurable impact.
Our core values
  • We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
  • We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
  • We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
  • We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
  • We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities
  • Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
  • Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
  • Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
  • Accountable for design, development and maintenance of Models as Service
  • Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
  • Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
  • Delivery of critical milestones for model deployment in the AWS and GCP clouds.
  • Adopt and promote MLOps best practices to the Data Science community.

Minimum Requirements
  • Must be authorized to work in the U.S. now and in the future.
  • Master's degree in related field or 5+ years of equivalent experience in a research or DevOps function.
  • Development experience using both the AWS and GCP suite of tools.
  • Familiarity with SageMaker, Streamlit, web security, credentials and API management tools
  • Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
  • Experience building and deploying webservices in a cloud environment.
  • Experience building CICD pipeline using Jenkins or equivalent
  • Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similar
  • Expert-level Github experience, including Github Actions
  • Strong object oriented development experience using Python, Java, C#
  • Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS platforms such as Redshift, Snowflake or BigQuery
  • Experience in end to end model development lifecycle, from ideation through post production monitoring.
  • Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
  • Experience with Solution Design and Architecture of data pipelines
  • Basic understanding of Data Science model development life cycle

Preferred Skills
  • Fundamentally strong with Data Structures and algorithms.
  • Experience working with Docker, Kubernetes and EC2 environment.
  • Experience building ML and data pipeline and orchestration services
  • Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn,
  • Experience working in an Agile framework.

Qualifications
  • 4+ years of ML engineering, data manipulation and application development
  • 4+ years Python development experience
  • 4+ years working with IAC, developing CICD pipelines
  • 1+ years of experience in the insurance or broader financial services industry
  • 1+ years SQL development experience
  • Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM's into automated processes

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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