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Entry Level Machine Learning Jobs in Severn, MD (NOW HIRING)

i3

Principal Data Scientist

Washington, DC · On-site

Proven track record of architecting scalable Machine Learning Ops pipelines and mentoring high ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

XPERTECHS

Automation Associate

Columbia, MD

Description This role is an entry level position aimed at a blend of AI-focused project work ... Support AI-related projects including data analysis, automation solutions, machine learning ...

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Entry Level Machine Learning information

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$13

$19

$24

How much do entry level machine learning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level machine learning in Severn, MD is $19.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $21.11 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
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What are the most commonly searched types of Machine Learning jobs in Severn, MD?

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What cities near Severn, MD are hiring for Entry Level Machine Learning jobs?

Cities near Severn, MD with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Severn, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $40,384 per year, or $19.4 per hour.

Principal Data Scientist

i3

Washington, DC • On-site

Full-time

Posted 6 days ago

Job description

Job Openings >> Principal Data Scientist
Principal Data Scientist
Summary
Title: Principal Data Scientist ID: 1177 Work Location: Washington, DC Clearance Required: Public Trust
More about this job >
Description
Principal Data Scientist with 10+ years of experience in IT systems
US Citizenship is REQUIRED
This is a five month assignment
Must be experienced in leading AI strategy and machine learning development, preferably with experience with fusing commercially available data with agency data to enhance predictive analytics. Proven track record of architecting scalable Machine Learning Ops pipelines and mentoring high-performing teams to deliver innovative AI systems. Expert in translating complex business problems into revenue-generating, data-driven solutions.
CORE COMPETENCIES Languages: Python, R, SQL, Scala, C++ Machine Learning: Deep Learning, NLP, Computer Vision, Predictive Modeling, Reinforcement Learning Big Data & Cloud: AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake MLOps & Data Viz: Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Tableau, Power BI
EDUCATION
Bachelor of Science in Statistics and Mathematics or other related field o preferred Master of Science in Computer Science (Machine Learning Focus)
Relevant AWS or Microsoft certifications (Examples below)
o  AWS Data Engineer Associate
o AWS Machine Learning Engineer Associate
o AWS AI Practitioner Foundational
o AWS Machine Learning Specialty
o Azure Cosmos DB Developer Specialty
o Azure Data Engineer Associate
o Azure Data Fundamentals
o Azure Database Administrator Associate
o Fabric Analytics Engineer Associate
o PowerBI Data Analyst Associate
o Azure AI Engineer Associate
o Azure AI Fundamentals
o Azure Data Scientist Associate
o Dynamics 365 Customer Insights (Data) Specialty
o Oracle Data Integrator o Oracle Certified Associate
o Oracle Certified Professional
o Python (Entry Level / Associate / Professional) 
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