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Junior Machine Learning Jobs in Washington (NOW HIRING)

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist ... This role supports the Analytic team in developing machine learning models, preparing and analyzing ...

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist ... This role supports the Analytic team in developing machine learning models, preparing and analyzing ...

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist ... This role supports the Analytic team in developing machine learning models, preparing and analyzing ...

Parsons Corporation is currently searching for a full-time Software Developer Junior position at ... Work with tools and frameworks such as AWS, Docker, Kubernetes, and machine learning libraries (e.g ...

Junior Cloud Software Engineer

Laurel, MD · On-site

$115K - $159K/yr

Visionist has an exciting new, fully FUNDED opportunity for a Junior Cloud Software Engineer. You ... AWS Certified Machine Learning --- Specialty * AWS DevOps Engineer Professional * Certified ...

Junior Test Engineer

Washington, DC · On-site

$65K - $107K/yr

MANTECH seeks a career and customer-oriented Junior Test Engineer to join our team in Washington, D ... Machine Learning agents meet baseline performance thresholds * Apply established practices to help ...

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Showing results 41-60

Junior Machine Learning information

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 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 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 are the key skills and qualifications needed to thrive as a junior machine learning engineer?

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 are the most commonly searched types of Machine Learning jobs in Washington? The most popular types of Machine Learning jobs in Washington are:
What cities in Washington are hiring for Junior Machine Learning jobs? Cities in Washington with the most Junior Machine Learning job openings:
Infographic showing various Junior Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Junior Data Scientist - Arlington VA

National Guard Employment Network

Arlington, VA • On-site

Full-time

Posted 6 days ago


Job description


ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.
Summary
All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the Analytic team in developing machine learning models, preparing and analyzing data, and applying natural language processing to unstructured datasets. It is an excellent opportunity for an emerging data scientist to grow within a high-impact federal mission environment. This is for proposed work, and any offer of employment would be contingent upon award.
Essential Functions
Develop, train, and evaluate custom machine learning and AI models, including both supervised and unsupervised approaches.
Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data.
Improve and expand existing entity extraction processes, incorporating new entities and models to improve analytic outcomes.
Evaluate enterprise data holdings and develop models and techniques that enrich data toward mission advantage.
Manipulate, cleanse, and prepare structured and unstructured data for model development and analysis.
Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.
Collaborate within an Agile delivery team, participating in sprint planning, reviews, and continuous delivery.
Competencies
2+ years of experience with an analytical or statistical language such as Python, R, or SQL.
Exposure to machine learning concepts, including model training and evaluation.
Experience working with structured and unstructured data.
Familiarity with data visualization tools.
Ability to work collaboratively in an Agile development environment.
Supervisory Responsibility
None for this position
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Must be able to remain in a stationary position 75% of the time.
Occasionally moves about inside the office to access file cabinets, office machinery, etc.
Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
Expresses or exchanges ideas by means of the spoken word. Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
Frequently moves standard office equipment up to 25 pounds.
Must be able to work indoor conditions 90% of the time.
While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.
Certificates/Security Clearances/Other
Security Clearance
Active secret clearance required
Additional Qualifications/Responsibilities
Position Type/Expected Hours of Work
This is a full-time position with flexible hours based on mission requirements.
Travel
No travel is expected for this position.
Experience
Education
Bachelor's degree in data science or a related quantitative field with coursework or project experience in natural language processing or machine learning. Experience can be considered in lieu of education,
Drug Free Workplace
All Native Group is a Drug Free Workplace. It is our policy that all new hires must successfully complete a pre-employment drug screen as a condition of employment. In addition, all employees are subject to random drug screens throughout the term of their employment with All Native Group.
Security Clearance
Active secret clearance required