ZipRecruiter

Log In

2

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

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

This position is a great entry-level opportunity for new graduates who want hands-on dynamic ... robotics and machine learning. • Ability to learn new programming languages quickly. • ...

Black Cape

Full Stack Software Engineer

Arlington, VA · On-site

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... machine learning capabilities * Be a part of a team that is making an impact and HAVE FUN while ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Bowie, MD

Entry Level Machine Learning information

See Bowie, MD salary details

$11

$16

$20

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

As of Aug 20, 2026, the average hourly pay for entry level machine learning in Bowie, MD is $16.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $18.32 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.
More about Entry Level Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Bowie, MD?

The most popular types of Machine Learning jobs in Bowie, MD are:

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

Cities near Bowie, 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 Bowie, MD as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $35,071 per year, or $16.9 per hour.

Jr. Counter Intelligence Data Scientist

Alakaina Foundation Family of Companies

Arlington, VA • On-site

Other

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Bering-Alaka`ina Holdings, LLC is looking for a Jr. Data Scientist to provide support for our government customer in Arlington, Virginia.
DESCRIPTION OF RESPONSIBILITIES:
  • Assist the Senior Data Scientist in providing technical and analytical support to ODASW(CNGT) leadership.
  • Support the development of the MOE performance measurement framework by extracting, cleaning, and preprocessing large datasets from across the DoW CN community for further analysis.
  • Assist in implementing predictive models, machine learning algorithms, and statistical scripts under the guidance of the Senior Data Scientist to support threat forecasting and resource optimization.
  • Support the architecture of data pipelines and assist in building, updating, and maintaining data visualizations and dashboards (e.g., Tableau, Power BI). Assist in gathering data for briefings and reports destined for ONDCP and Congressional committees.
  • Conduct technical research and draft initial documentation to support the Senior Data Scientist in prototyping enterprise-wide data standards, guidelines, and best practices.
  • Provide analytical and technical support during interagency forums and working groups, assisting in the documentation of data-sharing requirements and technical meeting outcomes.
  • Other duties as assigned by Supervisor.

REQUIRED DEGREE/EDUCATION/CERTIFICATION:
Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field from an accredited university. (entry level candidates with limited professional experience are preferred).
REQUIRED SKILLS AND EXPERIENCE:
  • Foundational knowledge of statistical, mathematical, and machine learning theories and their application in evaluating program data.
  • Proficiency in programming languages (e.g., Python, R), database query languages (e.g., SQL), and data visualization tools (e.g., Tableau, Power BI).
  • Strong interpersonal and collaborative skills, with the ability to work effectively on technical teams and support senior personnel on complex data projects.
  • Familiarity with, or the ability to quickly learn, DoW organizational structures and basic concepts related to national security or security cooperation programs.
  • Capability to operate within secure DoW data environments, demonstrating a working knowledge of basic data security and governance principles.
  • Be able to operate independently, proactively manage requirements, and require minimal government direction to achieve desired outcomes
  • Demonstrate prior experience and capabilities for the successful execution of tasks associated with specific duty positions/focus areas (e.g., legislative, budget, etc.).
  • Exceptional oral and written communication skills, and the ability to translate highly technical information into plain language for effective communication with DoW and other USG staff in the performance of all duties, tasks and services.
  • Must be willing to sign a Non-Disclosure Agreement.

REQUIRED CITIZENSHIP AND CLEARANCE:
  • Must have an active Top Secret/SCI clearance.

Bering-Alaka`ina Holdings, LLC is a fast-growing government service provider. Employees enjoy competitive salaries. Eligible employees enjoy a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid time off; and 11 paid holidays.
We are an Equal Opportunity/Affirmative Action Employer of individuals with disabilities and veterans. We not illegally discriminate in employment decisions on the basis of any protected categories. If you are a person with a disability and you need an accommodation during the application process, please click here to request accommodation. We E-Verify all employees.
As a part of BSNC, Bering- Alakaina Holdings gives hiring, promotion, training, and retention preference to BSNC shareholders, descendants and shareholder spouses who meet the minimum qualifications for the job. Qualified job candidates will generally be considered in the following order: BSNC shareholders, descendants, shareholder spouses, current employees, and outside candidates. The BSNC Shareholder Development department tracks and monitors the implementation of the Shareholder Hire Preference across its operations.
Bering-Alaka`ina Holdings, LLC is comprised of industry-recognized government service firms designated as Alaska Native Corporation (ACN)-owned and 8(a) certified businesses and includes Ke`aki Technologies, LLC; Laulima Government Solutions, LLC; K?pono Government Services, LLC; Kapili Services, LLC; Po`okela Solutions, LLC; K?kaha Solutions, LLC; and Pololei Solutions, LLC.
For additional information, please visit ;br>
#LI-JS1
#ClearanceJobs

Apply