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Entry Level Machine Learning Engineer Jobs in Midlothian, VA

Machine Learning with Python Development

Richmond, VA · On-site

$49.75 - $68.75/hr

Good Machine Learning foundations, practical experience with classification, regression and clustering methods strong python coding, computing fundamentals/data structures, SQL, experience with ...

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 ...

Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and ...

AI Engineer

VA · On-site

$152K/yr

Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and ...

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 ...

New

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Position will require learning and becoming proficient in Dewberry engineering practices and ... Our entry-level program comes together on a regular basis for professional development events and ...

Position will require learning and becoming proficient in Dewberry engineering practices and ... Our entry-level program comes together on a regular basis for professional development events and ...

Showing results 21-40

Entry Level Machine Learning Engineer information

See Midlothian, VA salary details

$28.4K

$65.7K

$111.8K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level machine learning engineer in Midlothian, VA is $65,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $74,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Midlothian, VA? The most popular types of Machine Learning Engineer jobs in Midlothian, VA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Midlothian, VA? For Entry Level Machine Learning Engineer jobs in Midlothian, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Midlothian, VA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Midlothian, VA are:
What cities near Midlothian, VA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Midlothian, VA with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Midlothian, VA as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $65,709 per year, or $31.6 per hour.

Machine Learning with Python Development

Palnar

Richmond, VA • On-site

$49.75 - $68.75/hr

Full-time

Re-posted 4 days ago


Job description

Summary:
Good Machine Learning foundations, practical experience with classification, regression and clustering methods
strong python coding, computing fundamentals/data structures, SQL, experience with Hadoop stack
Exposure/experience in NLP is preferable, experience with Deep Learning methods is preferable
Education: Requires bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree