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Entry Level Machine Learning Jobs in Sterling, VA

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 ...

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 ...

Hertz

Tire and Lube Technician

Dulles, VA · On-site

$20.25/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

The Hertz Corporation

Tire and Lube Technician

Dulles, VA · On-site

$20.25/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

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Entry Level Machine Learning information

See Sterling, VA salary details

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

As of Aug 6, 2026, the average hourly pay for entry level machine learning in Sterling, VA is $17.30, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $18.80 per hour, depending on experience, location, and employer.

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.

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 or entry-level positions can provide practical 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.

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.

More about Entry Level Machine Learning jobs
What are popular job titles related to Entry Level Machine Learning jobs in Sterling, VA? For Entry Level Machine Learning jobs in Sterling, VA, the most frequently searched job titles are:
What cities near Sterling, VA are hiring for Entry Level Machine Learning jobs? Cities near Sterling, VA 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 Sterling, VA as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $35,976 per year, or $17.3 per hour.

Full Stack Software Engineer

Black Cape

Arlington, VA • On-site

Full-time

Retirement

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

Job description

Black Cape
Title: Full Stack Software Engineer (Entry level - Senior Levels)
Locations: Arlington, VA and areas throughout the DMV (DC, MD, VA)
Onsite Expectations: MUST be willing to go onsite 2 - 3 days per week; could be up to 5 days per week - as the customer needs
Clearance: MUST have an Active Top Secret or TS/SCI clearance
***MUST HAVE an Active Top Secret OR Top Secret SCI Clearance****
***If you do NOT have a US Citizenship and a Security Clearance issued by a US Government Customer, we will likely not get back to you. It is a REQUIREMENT of the job.***
Black Cape has Won "Best Places to Work" every year in existence by either the Washington Business Journal & Virginia's Best Places to Work!
Want to be a part of an intelligent, talented, dynamic, and FUN team and keep building something GREAT?? Then, you should consider Black Cape!
  • We work with Department of Defense (DoW) and Intelligence Community (IC) customers to accomplish their missions
  • Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and machine learning capabilities
  • Be a part of a team that is making an impact and HAVE FUN while doing so!

About the company:
Black Cape is a unique technology company with a focus on full-stack web applications, advanced data analysis tools, and integrating AI/ML capabilities for federal government customers. We are a COOL and FUN crew that works hard and plays maybe even a little harder. Our core team is an impressive group of engineers with exceptional leadership at the helm.
Black Cape is led by proven business and engineering leaders with a track record of building innovative technology companies focused on building mission applications. We support many programs and agencies as both a prime and a subcontractor and created a strong reputation working with top tier partners doing work for all major Intelligence Community agencies, DoW, and Special Operations customers.
Our engineer-led software teams develop technical solutions on an aggressive schedule across the DoW and IC to meet customer needs. Our engineers apply proven, repeatable software, technical, and analytical approaches to build solutions and have frequent interaction with end users to produce and deploy solutions.
We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow, Python scikit-learn, and other tools. Black Cape's approach to solution development combines lessons learned from developing and deploying applications to customer cloud environments with industry best practices in Agile development and DevOps.
What we are hiring:
  • Exceptional Full Stack, Language Agnostic coding Experts!!
  • We are considering Mid to Senior Level Full-stack software engineers.
  • We are expanding and need to hire motivated engineers to help build innovative solutions for our customers. The ideal candidate needs limited direction and is passionate about technology. A willingness and desire to pick up new technologies or languages quickly is a must.

Required Technical Skills (MUST HAVES):
  • 2+ years of professional experience needed for MOST of our opportunities
  • Proficient in at least ONE Object-Oriented language such as Java, Python, C# or C++ - NOT All, just ONE OO language
  • Experience with at least ONE MVC framework, perhaps including Spring, Django, Flask or Rails
  • Experience with at least ONE relational database, such as MySQL, PostgreSQL or sqlite3
  • Experience working with Linux distributions like Ubuntu, RedHat, or CentOS
  • Working knowledge of web application basics like HTTP, HTML, REST, CSS, and JavaScript

Preferred Technical Skills (NICE TO HAVES):
  • Proficient in at least one scripting language like Python, Bash, or Perl
  • Familiar with web server configuration on NGINX, Apache, or similar
  • Familiar with a JavaScript framework like React, Backbone, Angular, Ember or Vue.js
  • Familiar with Bootstrap and Less
  • Experience with NoSQL storage like ElasticSearch, Accumulo, and MongoDB is a plus.

Great Benefits | 401K | Competitive Salary | Generous Time Off | Exceptional Team-Building & Fun Company Events | Mentorship & Professional Development Programs | Tuition Reimbursement | Parental Leave

Apply