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Scientific Machine Learning Jobs in Deerfield, IL

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

MS or PhD in Machine Learning, Computer Science, Robotics, or related field * Experience with robotics simulation: MuJoCo, IsaacSIM, or similar * Background in manufacturing, industrial automation ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

Socket.dev

Data Scientist

Chicago, IL · On-site

$110 - $160/hr

Summary We are hiring a Data Scientist on behalf of one of our prestigious Fortune 500 Product ... Develop, validate, and deploy machine learning and predictive analytics models. * Design and ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

Within Customer Operations Data Science, we build modern AI products that optimize customer ... As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ...

IMC

Machine Learning Research Lead

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

Coinflow

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

Help shape Coinflow's long-term fraud, risk, and ML roadmap Required Qualifications * 5+ years in machine learning, applied data science, or production ML roles * Demonstrated experience building ...

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All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Deerfield, IL

Scientific Machine Learning information

See Deerfield, IL salary details

$14

$32

$53

How much do scientific machine learning jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for scientific machine learning in Deerfield, IL is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $40.82 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Deerfield, IL?

For Scientific Machine Learning jobs in Deerfield, IL, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Deerfield, IL look for?

The top searched job categories for Scientific Machine Learning jobs in Deerfield, IL are:

What cities near Deerfield, IL are hiring for Scientific Machine Learning jobs?

Cities near Deerfield, IL with the most Scientific Machine Learning job openings:

Scientific Machine Learning jobs near you

Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Motion Recruitment Partners, LLC

Chicago, IL • On-site

Other

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Our client in the industrial distribution space is hiring for a full time Machine Learning Manager in the Chicago area. This organization is a large, well established global distributor that quietly powers millions of businesses every day through technology, logistics, and data. *This role is hybrid in downtown Chicago a few times a month*
Our client is looking for a leader who combines genuine technical depth with the vision to build and scale a world class ML team. You'll own the end-to-end relationship with business partners translating complex challenges into production ready ML solutions across classification, NLP, deep learning, time series forecasting, and optimization while also shaping the culture, roadmap, and infrastructure your team works within. This is not a role for someone who just manages; you'll still be hands on with model design, MLOps practices, and emerging AI research. If you're energized by driving real business impact through applied ML at significant scale, this is a career defining opportunity for you.
Required Skills & Experience
  • BS, MS or PhD in Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, or Engineering
  • 5+ years of hands-on experience delivering production-grade machine learning solutions at scale
  • Previous experience leading, mentoring, and developing a high-performing ML/AI team
  • Advanced proficiency in Python and SQL; hands-on experience with ML frameworks such as scikit-learn, PyTorch, and TensorFlow
  • Solid understanding of MLOps practices including MLflow, model registry, drift monitoring, and hyperparameter optimization
  • Proven ability to apply deep learning and transformer-based modeling methods in production; familiarity with LLMs, diffusion models, or generative AI
  • Excellent communication skills - able to convey technical concepts clearly to both technical and business audiences, including executives
Desired Skills & Experience
  • Familiarity with containerization, CI/CD, and version control (Kubernetes, Docker, Git)
  • Experience building interactive, model-driven applications using React, Streamlit, or similar frameworks
  • Experience with databases at scale including Teradata, Snowflake, and S3
  • Background in optimization, simulation, or decision-science techniques to complement predictive modeling
  • Proven ability to lead cross-functional collaborations and influence both technical and business stakeholders
What You Will Be Doing
Tech Breakdown
  • 50% Python and SQL
  • 50% Machine learning frameworks
Daily Responsibilities
  • 50% Hands On
  • 50% Management Duties

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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