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Freelance Full Stack Machine Learning Engineer Jobs in Illinois

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 ...

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 ...

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

The Full Stack Engineer works alongside other developers on the Product Strategy & Technology (PST) team to build, maintain, and improve DataDelivers' core CDP product. This role owns feature ...

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 ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

IL · On-site

$107K - $147K/yr

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Sr. Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

Full Stack Engineer

Chicago, IL · On-site

$65 - $75/hr

Senior Full Stack Software Engineer Industry: Hospitality Location (City, State): Chicago, IL Assignment Type: Contract through the end of the year Pay: $65/hr - $75/hr W2 Work Schedule: Hybrid ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Full Stack Engineer

Chicago, IL · On-site

$65 - $75/hr

Senior Full Stack Software Engineer Industry: Hospitality Location (City, State): Chicago, IL Assignment Type: Contract through the end of the year Pay: $65/hr - $75/hr W2 Work Schedule: Hybrid ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Showing results 41-60

Freelance Full Stack Machine Learning Engineer information

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

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Illinois? The most popular types of Full Stack Machine Learning Engineer jobs in Illinois are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Illinois look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Illinois are:
What cities in Illinois are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in Illinois with the most Freelance Full Stack Machine Learning Engineer job openings:
Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Illinois 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.

Machine Learning Engineer

Bespoke Labs

Edwardsville, IL

Full-time

Re-posted 21 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

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 preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination