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Ml Jobs (NOW HIRING)

ML Engineer

Deerfield, IL · On-site

$110K - $135K/yr

Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience with distributed file systems or multi-node database paradigms ...

ML Engineer

Conroe, TX · On-site

$110K - $140K/yr

Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience with distributed file systems or multi-node database paradigms ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, while collaborating with cross-functional teams to drive innovation in AI applications. Responsibilities ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, while collaborating with cross-functional teams to drive innovation in AI applications. Responsibilities ...

ML Engineer

Malvern, PA · On-site

$100K - $135K/yr

Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, optimize models focused on audio data, and collaborate with cross-functional teams to drive innovation in AI ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

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Ml information

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How much do ml jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ml in the United States is $30.58, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $38.46 per hour, depending on experience, location, and employer.

What is the difference between Ml vs Data Analyst?

AspectML (Machine Learning)Data Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; often includes knowledge of programming and statisticsBachelor's in Statistics, Mathematics, or related; strong analytical and Excel skills
Work EnvironmentDeveloping models, coding, using programming languages like Python or RData cleaning, visualization, reporting using tools like Excel, Tableau
Industry UsageTech, finance, healthcare, e-commerce, where predictive models are neededBusiness intelligence, marketing, finance, where data insights inform decisions

Machine Learning (ML) specialists focus on creating algorithms and models to enable computers to learn from data, often requiring programming and statistical skills. Data Analysts interpret data, generate reports, and visualize insights to support business decisions. While both roles work with data, ML is more technical and model-driven, whereas Data Analysts focus on data interpretation and presentation.

What cities are hiring for Ml jobs?

Cities with the most Ml job openings:

What are the most commonly searched types of Ml jobs?

The most popular types of Ml jobs are:

What states have the most Ml jobs?

States with the most job openings for Ml jobs include:

Infographic showing various Ml job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $63,611 per year, or $30.6 per hour.

ML Engineer

Deerfield, IL • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Must Have Technical/Functional Skills
  • 1+ years of experience building, scaling, and optimizing ML systems
  • 1+ years of experience with data gathering and preparation for ML models
  • 2+ years of experience developing performant, resilient, and maintainable code
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 3+ years of experience with distributed file systems or multi-node database paradigms
  • 3+ years of experience building production-ready data pipelines that feed ML models.
  • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

Roles & Responsibilities
  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
  • Use programming languages like Python, Scala, or Java.

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-KR3
Salary Range-$110,000-$135,000 a year