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Associate Machine Learning Jobs in Evanston, IL (NOW HIRING)

Data Engineer 3

Chicago, IL

$118K - $141K/yr

... Associate) Familiarity with machine learning and data design to support machine learning Experience with productionizing machine learning workloads Experience with ElasticSearch/ELK, Kibana, Grafana ...

AI Solutions Architect

Chicago, IL · On-site

$65 - $85.50/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Develop and apply machine learning and AI methods to predict test outcomes, automate decision ...

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Showing results 1-20

Associate Machine Learning information

See Evanston, IL salary details

$30.2K

$127.7K

$301.8K

How much do associate machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for associate machine learning in Evanston, IL is $127,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,100.00 and $193,800.00 per year, depending on experience, location, and employer.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Evanston, IL? The most popular types of Machine Learning jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Associate Machine Learning jobs? Cities near Evanston, IL with the most Associate Machine Learning job openings:
Machine Learning Engineer - Senior Associate

Machine Learning Engineer - Senior Associate

Chase

Chicago, IL

$126K - $166K/yr

Other

Medical, Retirement

Posted 2 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 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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