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Junior Machine Learning Jobs in Delaware (NOW HIRING)

Design and implement machine learning models and pipelines . * Participate in system and platform ... Mentor junior engineers and share best practices. * Make independent technical and design decisions.

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 ...

Sr Data Analyst

Wilmington, DE · Hybrid

$89.99K - $143.09K/yr

This individual will lead large-scale analytical initiatives, mentor junior analysts, and ... Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills ...

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Junior Machine Learning information

See Delaware salary details

$7

$26

$47

How much do junior machine learning jobs pay per hour?

As of May 29, 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:
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.
Python Developer

$60 - $65/hr

Other

Posted 27 days ago


Job description

Location: Wilmington, DE
Salary: $60.00 USD Hourly - $65.00 USD Hourly
Description: Our client is currently seeking a Python Developer to design, build, and deliver production-grade software and AI/ML solutions. This role is onsite in Wilmington, DE, and Columbus, OH, offering the opportunity to work closely with cross-functional teams and contribute to high-impact projects.
Responsibilities
  • Develop, review, and debug production-quality Python code.
  • Build and maintain features, components, and services.
  • Design and implement machine learning models and pipelines.
  • Participate in system and platform design discussions.
  • Enforce SDLC best practices and security standards.
  • Solve complex, ambiguous technical problems.
  • Collaborate across product, data, and infrastructure teams.
  • Mentor junior engineers and share best practices.
  • Make independent technical and design decisions.

Requirements
  • 5+ years of professional experience in Python development.
  • Strong background in production software engineering.
  • Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and DevOps practices.

Nice to Have
  • Experience with LLMs, RAG pipelines, and vector databases.
  • Exposure to financial services or other regulated industries.
  • Knowledge of distributed systems and microservices.

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