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Entry Level Machine Learning Jobs in Richmond, VA

Junior/Entry Level Coder - Remote

Richmond, VA · On-site

$66K - $86K/yr

Currently, we are looking for entry-level software programmers, Java full-stack developers, Python ... We want data science/machine learning/data analyst and Java stack candidates. For data science ...

AI Engineer

Richmond, VA · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Production Worker, Entry Level

Hopewell, VA · On-site

$13.75 - $16.50/hr

... and operate machinery. What You Need to Succeed: High School Diploma or G.E.D. required. Strong ... Comprehensive training with numerous learning and development opportunities. A career with a global ...

Tire Technician

Richmond, VA · On-site

$14 - $16/hr

Your Role as an Entry Level Tire Technician: As a Tire Technician, you'll play a key role in ... Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ...

The Manager Trainee is a full-time, entry-level position designed to prepare you for a leadership ... Manager Trainees must complete the learning plan and course of study as outlined within the ...

The Manager Trainee is a full-time, entry-level position designed to prepare you for a leadership ... Manager Trainees must complete the learning plan and course of study as outlined within the ...

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Entry Level Machine Learning information

See Richmond, 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 Richmond, VA is $17.28, 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.

What are the most commonly searched types of Machine Learning jobs in Richmond, VA? The most popular types of Machine Learning jobs in Richmond, VA are:
What are popular job titles related to Entry Level Machine Learning jobs in Richmond, VA? For Entry Level Machine Learning jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Richmond, VA look for? The top searched job categories for Entry Level Machine Learning jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Entry Level Machine Learning jobs? Cities near Richmond, VA with the most Entry Level Machine Learning job openings:
Infographic showing various Entry Level Machine Learning job openings in Richmond, VA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $35,950 per year, or $17.3 per hour.

Junior/Entry Level Coder - Remote

SynergisticIT

Richmond, VA • On-site

$66K - $86K/yr

Other

Re-posted 10 days ago


Job description

SynergisticIT Job Opportunities

For more than 12 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers.

In this market also our candidates get multiple job offers and $100k + salaries.

We regularly interact with the top tech companies to give our candidates a competitive advantage see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens.

We at Synergistic understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions with clients.

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and are looking to make their careers in the tech industry?

We assist in filing for STEM extension and also for H1b and green card filing to candidates.

We want data science/machine learning/data analyst and Java stack candidates.

For data science/machine learning positions:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically curious
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, and data visualization tools
  • Excellent written and verbal communication skills
  • Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow

For Java/full stack/software positions:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically curious
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, JavaScript, C++, or software programming
  • Spring boot, microservices, Docker, Jenkins, and REST API experience
  • Excellent written and verbal communication skills

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements.

No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates.