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Senior Machine Learning Engineer Jobs in Countryside, IL

Harnham

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Machine Learning Engineer Remote in US $160,000 - $190,000 Base + 10% Bonus THE COMPANY Harnham is partnering with a fintech that has built a leading fraud protection platform enabling ...

Iterable

Senior Machine Learning Engineer (Nova)

Chicago, IL · On-site

$107K - $147K/yr

Senior Machine Learning Engineer (Nova) Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic ...

Indeed

Senior Machine Learning Engineer

Chicago, IL · On-site

$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 ...

Huxley

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Our client is looking to bring on a Senior Machine Learning Engineer to help build and scale a nextgeneration voice-centric AI platform used by millions. In this role, you'll own the full ML ...

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 fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

PayPal

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

... Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques ... , SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 - The base pay ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

... Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques ... g., SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 The base pay ...

The Hartford

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 operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...

IMC Inc

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with ...

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All JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Countryside, IL

Senior Machine Learning Engineer information

See Countryside, IL salary details

$58.3K

$123.9K

$179.7K

How much do senior machine learning engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for senior machine learning engineer in Countryside, IL is $123,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $140,500.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Countryside, IL are hiring for Senior Machine Learning Engineer jobs? Cities near Countryside, IL with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Harnham

Chicago, IL • On-site

$107K - $147K/yr

Other

Posted 7 days ago

Job description

Senior Machine Learning Engineer

Remote in US

$160,000 – $190,000 Base + 10% Bonus


THE COMPANY

Harnham is partnering with a fintech that has built a leading fraud protection platform enabling merchants to grow confidently by eliminating fraud and delivering frictionless customer experiences. They’re a global company that processes billions of transactions annually, leveraging advanced machine learning to approve more good orders while protecting revenue.

The company combines cutting-edge technology with a deeply collaborative and mission-driven culture. Their Machine Learning team sits at the core of the product, building and maintaining the models and experimentation frameworks that power fraud detection at scale.


RESPONSIBILITIES

  • Own the end-to-end lifecycle of machine learning projects, from experimentation through deployment and production monitoring.
  • Build, maintain, and optimize production-grade machine learning models for fraud detection.
  • Design and implement scalable ML pipelines to enable rapid experimentation and model iteration.
  • Develop advanced feature engineering and statistical methodologies to improve model performance.
  • Collaborate with Product, Engineering, and Risk teams to translate business needs into ML solutions.
  • Contribute to model training, evaluation frameworks, and experimentation infrastructure.
  • Ensure robustness, scalability, and reliability of ML systems in high-volume production environments.
  • Drive best practices in testing, documentation, and model monitoring across the ML team.


SKILLS AND EXPERIENCE

  • 4–6+ years of experience in machine learning within production environments.
  • Strong foundation in machine learning theory, statistical modeling, and evaluation techniques.
  • Experience building and deploying supervised and unsupervised ML models at scale.
  • Proven track record of taking ML projects from research/prototype to production.
  • Proficiency in Python, SQL, and key machine learning libraries.
  • Experience working with distributed data processing tools such as Spark.
  • Strong communication skills, with the ability to explain technical insights to non-technical stakeholders.
  • Detail-oriented mindset with a focus on delivering measurable business impact.


PREFFERED EXPERIENCE

  • Experience in fraud detection, fintech, payments, or e-commerce domains.
  • Advanced degree (Master’s or PhD) in a quantitative field.
  • Passion for writing well-tested, production-quality code.
  • Interest in adversarial machine learning and combating fraud at scale.


BENEFITS

The compensation package includes a competitive base salary, performance-based bonus, and a comprehensive benefits package within a fast-growing, mission-driven organization.


HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.


KEY TERMS

Machine Learning | Fraud Detection | Fintech | Payments | E-Commerce | Python | SQL | Spark | Data Science | Statistical Modeling | Feature Engineering | MLOps | Experimentation | Adversarial ML | Production ML Systems

Apply