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Entry Level Machine Learning Jobs in Sterling, VA

Anthem Engineering

Software Engineer

Chantilly, VA · On-site

Experience developing in an Agile environment Level: Entry Level - SME Clearance: Active security ... learning new technologies, frameworks, and tools so we can use the right ones for the emerging ...

Anthem Engineering

Software Engineer

Chantilly, VA · On-site

Experience developing in an Agile environment Level: Entry Level - SME Clearance: Active security ... learning new technologies, frameworks, and tools so we can use the right ones for the emerging ...

Anthem Engineering

Software Engineer

Chantilly, VA

Experience developing in an Agile environment Level: Entry Level - SME Clearance: Active security ... learning new technologies, frameworks, and tools so we can use the right ones for the emerging ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Sterling, VA

Entry Level Machine Learning information

See Sterling, VA salary details

$12

$17

$21

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.

Geothermal Installer ($20-$35/hr)

Connelly and Associates

Buckeystown, MD • On-site

$20 - $35/hr

Full-time, Per diem

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Driller / Installer Assistant – Geotechnical & Geothermal Assistants Needed


Job Overview

  • Company: Connelly and Associates, Inc
  • Salary/Pay Rate: $20.00 - $35.00 per hour
  • Location: Frederick, MD
  • Job/Employment Type: Full Time
  • Project Scope: Residential, Commercial, and Government/Federal Drilling Projects
  • Mandatory Licenses & Certifications: Valid Driver's License


The Opportunity

You will join a steadily growing company with a 35-year legacy of professionalism and safety in the drilling industry. This entry-level role offers you the unique opportunity to build a long-term career while learning to operate advanced heavy machinery. You will work alongside experienced professionals who prioritize your safety, professional development, and advancement to an operator position.


How You Will Make an Impact

  • Assist the Lead Driller or Installer with the efficient setup, operation, and breakdown of drill rigs, grout machines and lateral HDPE pipe installations.
  • Prepare and stage essential tools and equipment at various project sites.
  • Collect and carefully label soil, rock, and groundwater samples according to project specifications.
  • Lay and fuse HDPE pipe according to technical specifications & industry standards.
  • Load and unload support vehicles safely while maintaining a clean, organized work area.
  • Perform routine equipment inspections and minor preventative maintenance to minimize project downtime.
  • Follow all company safety policies, including the mandatory use of personal protective equipment.


Required Qualifications & Experience

  • High school diploma or equivalent educational credential.
  • Valid driver's license with a clean driving record for more than two consecutive years.
  • Ability to read, write, and communicate legibly and clearly with clients and co-workers.
  • Absolute willingness to work outdoors in all weather conditions and perform demanding physical labor.
  • Ability to occasionally lift up to 100 pounds as required by field operations.
  • Willingness to travel to out-of-town project assignments and work overtime as needed.


Preferred Qualifications & Experience

  • 2 years of related work experience in construction, drilling, HVAC or heavy equipment operation.
  • Basic understanding of construction safety standards on commercial project sits and proper hand tool operation.
  • Commercial Driver’s License (CDL) or an interest in obtaining one. Possible pay increase for those with CDL.


Compensation & Benefits

  • Competitive hourly pay with a bi-weekly pay cycle and substantial overtime potential.
  • Comprehensive medical, dental, vision, life and short-term disability insurance coverage.
  • 401(k) and wellness reimbursement stipends.
  • Paid time off package including holiday, vacation, and sick leave.
  • Travel assignments accompanied by a daily per diem allowance.
  • Complete safety equipment provided by the company, including boot stipends, helmets and gloves.
  • Paid safety and technical training including OSHA 10, -30 and HazMat, Defensive Driving and Forklift.
  • Structured mentor training designed to accelerate your promotion to an equipment operator.
  • Referral bonus program available for bringing top talent to the team.


About Us

Connelly and Associates, Inc. is a premier geotechnical, environmental and geothermal drilling firm built on a foundation of safety, quality work, and long-term client relationships. For over 35 years, our family-focused leadership team has put our people first, investing heavily in the careers and well-being of our field personnel.


Learn more at www.connellyandassociates.com.


Connelly and Associates, Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender expression, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or any other status protected by law or regulations. It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.

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