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Junior Machine Learning Jobs in Delaware (NOW HIRING)

JP Morgan Chase

Trade Support, Associate

Newark, DE · On-site

$16.75 - $21.75/hr

... junior team members, fostering a collaborative and growth-oriented environment. * Manage ad-hoc ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

Chase

AWM Trading Services Associate

Newark, DE

... junior team members, fostering a collaborative and growth-oriented environment. * Utilize strong ... Capable of utilizing AI and machine learning to enhance trade service processes and improve ...

New

JPMorgan Chase & Co

Trade Support, Associate

Newark, DE

$16.75 - $21.75/hr

... junior team members, fostering a collaborative and growth-oriented environment. * Manage ad-hoc ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

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$7

$26

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How much do junior machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for junior machine learning in Delaware is $26.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.22 per hour, depending on experience, location, and employer.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware are:
What are popular job titles related to Junior Machine Learning jobs in Delaware? For Junior Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Delaware look for? The top searched job categories for Junior Machine Learning jobs in Delaware are:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Delaware as of May 2026, with employment types broken down into 74% Full Time, 16% Part Time, 4% Temporary, 4% Contract, and 2% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $56,117 per year, or $27 per hour.
AWS Lead Software Engineer-Java/Spring Boot

AWS Lead Software Engineer-Java/Spring Boot

JP Morgan Chase

Newark, DE • On-site

Full-time

Medical, Retirement

Posted 9 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As an AWS Lead Software Engineer-Java/Spring Boot at JPMorgan Chase within Commercial & Investment Bank's Post Trade Technology Reporting team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. This group is going through a migration and modernization journey where you will be contributing to designing products, owning the design end-to-end, designing & building applications, and other technical leadership activities.

Job responsibilities

  • Develop code that conforms to the design, addresses non-functional requirements, and complies with the coding standards and conventions
  • Create detailed Unit Test cases, perform unit testing, integration testing, support QA and User acceptance testing and also address ad hoc user queries
  • Practice test-driven development, automated testing and continuous integration
  • Actively participate in peer review sessions by evaluating code quality, ensuring adherence to best practices, identifying defects, and providing constructive, actionable feedback to improve overall team deliverables
  • Mentor and support junior developers by offering technical guidance, conducting knowledge-sharing sessions, reviewing their work, and fostering skill development to strengthen team capabilities
  • Analyze programs and troubleshoot production issues. Identify potential performance tuning improvement areas and implement tuning measures
  • Collaborate with regional and global team members from other regions

  • Possess a good understanding of change management and release processes

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience

  • Hands-on experience coding in one or more programming languages, including Java 

  • Experience designing and implementing applications using Spring Boot

  • Hands-on experience with AWS Cloud technologies

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

  • Overall knowledge of the Software Development Life Cycle

  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Proven experience designing and building scalable big data warehouses using Apache Spark, including data ingestion, transformation, and optimization for large-scale datasets

  • Working knowledge of containerization and orchestration tools such as Kubernetes and Docker, along with experience leveraging Databricks for distributed data processes and analytics

  • Hands-on experience working with AWS cloud services (e.g., S3, EC2, EMR), NoSQL databases such as MongoDB, and modern data lake technologies including Apache Iceberg for efficient data storage and management

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

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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