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Senior Machine Learning Engineer Jobs in Countryside, IL

Machine Learning Engineer - Senior Associate

Chicago, IL · On-site

$126K - $166K/yr

Machine Learning Engineer - Senior Associate Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to ...

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

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 ...

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 ...

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 ...

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 ...

Machine Learning Engineer

Chicago, IL · Remote

$96K - $131K/yr

Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning 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 ...

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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:
Machine Learning Engineer - Senior Associate

Machine Learning Engineer - Senior Associate

Chase

Chicago, IL • On-site

$126K - $166K/yr

Other

Medical, Retirement

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


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

46th of 142 rated banks


Job description

Machine Learning Engineer - Senior Associate

Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services. As a Machine Learning Engineer - Senior Associate within the CIB Technology team at JPMorganChase, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:

  • Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
  • Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
  • Develop and implement software architecture and design patterns to ensure scalability and performance.
  • Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
  • Implement and manage data pipelines to preprocess and transform data for AI/ML models.
  • Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
  • Optimize software applications for performance, reliability, and scalability.
  • Conduct code reviews and provide technical guidance to junior developers.
  • Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
  • Ensure adherence to software development best practices, including agile and lean methodologies.
  • Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.

Required Qualifications, Capabilities, and Skills:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 5 + years of experience as a software developer with a focus on integrating AI/ML solutions.
  • Strong programming skills in Python, with experience in developing and maintaining production-level code.
  • Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.
  • Experience with application architecture and design patterns.
  • Proficiency in working with large datasets and data preprocessing.
  • Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.
  • Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
  • Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.
  • Experience with CI/CD, Observability and Monitoring solutions such Jenkins, Phoenix Arise, Splunk etc.

Preferred Qualifications, Capabilities, and Skills:

  • Familiarity with DevOps practices for software deployment and monitoring.
  • Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
  • Experience with distributed computing frameworks, such as Apache Spark.
  • Experience in implementing SRE practices to improve system reliability and performance.
About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.


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