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Freelance Full Stack Machine Learning Engineer Jobs in Illinois

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Comfort working across the ML stack from data pipelines to training infrastructure to serving ...

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 ...

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 ...

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 ...

Hello, We have 3 urgent openings for " Full Stack Node Developer ". These are hybrid roles. Location: Chicago, IL (Hybrid) Duration: Long term Contract Onsite Interview Must have skills: React.js ...

New

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

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 ...

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

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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 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:
Applied Machine Learning Engineer

Applied Machine Learning Engineer

Strata Decision Technology

Chicago, IL • On-site, Remote

$117K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago


Job description

How You'll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.
A Day in the Life
  • Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.
  • Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.
  • Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.
  • Partner with data scientists to design experiments and apply statistical concepts to real-world data.
  • Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation's leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:
  • Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC
  • Infrastructure: AWS, Snowflake, Docker, GitHub
  • Techniques & Tools:
    • Regression (with and without Bayesian priors)
    • Vector embeddings, similarity, clustering
    • Core statistics and distributions for EDA
    • Optimization methods (multi-armed bandit, mixed integer programming)
    • Causal inference and probabilistic modeling

What We're Looking For
We're seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:
  • Strong experience implementing ML models in Python.
  • Familiarity with regression, embeddings, causal inference, and optimization techniques.
  • Experience applying statistical methods to exploratory data analysis.
  • Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:
  • NLP tasks (LLMs, spaCy, neural networks).
  • Recommender systems, latent factors, matrix factorization.
  • Graph algorithms.
  • Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.
Find out more about Strata benefits here.
How we work:Our preferred location for open roles is Chicago, IL. We value in-person connection and regularly host on-campus events to create meaningful opportunities for our team to build relationships and collaborate
Thinking about applying?
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com.
Here @ Strata...
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.
We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
Our Core Values:While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers.
  • We connect with positive intent.
  • We are helpful.
  • We own it.
  • We get better every day.
  • We are humble.