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Entry Level Machine Learning Engineer Jobs in Midlothian, VA

Luck Stone

AI Engineer

Manakin Sabot, 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 ...

Luck Stone Corporation

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 ...

RIT Solutions, Inc.

Data Engineer (763232)

Richmond, VA · On-site

$112K - $134K/yr

... implementing Azure machine learning services. Responsibilities : • Strong Data engineering ... fundamentals. • Utilize Big data frameworks like Spark/Databricks. • Training LLMs with ...

Pwc

AI & GenAI Data Scientist - Manager

Richmond, VA · On-site

$99K - $232K/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 ...

Dewberry

Entry Level Site/Civil Engineer

Richmond, VA · On-site

$82K - $84K/yr

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 ...

Dewberry

Entry Level Site/Civil Engineer

Richmond, VA · On-site

$82K - $84K/yr

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 ...

Apex Systems

Senior GenAI Developer

Richmond, VA · On-site

$54 - $71.25/hr

Apply various machine learning models, including Support Vector Machine (SVM), Logistic Regression (LR), Random Forest, Nave Bayes, and Neural Networks. * Work with NLP techniques like word ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Midlothian, VA

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 Sep 1, 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 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 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 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 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 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:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Midlothian, VA as of August 2026, with employment types broken down into 4% Internship, 84% Full Time, and 12% Contract. Highlights an 73% In-person, 2% Hybrid, and 25% Remote job distribution, with an average salary of $65,709 per year, or $31.6 per hour.

AI Engineer

Luck Stone

Manakin Sabot, VA • On-site

$152K/yr

Full-time

Re-posted 4 hours ago

Job description

JOB SUMMARY: 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 optimize operations. Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation.

ESSENTIAL FUNCTIONS

60% of job: Development

  • Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation.
  • Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms.
  • Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure.
  • Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders.
  • Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes.

20% of job: Continuous Improvement

  • Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements.
  • Implement and maintain machine learning pipelines, from data preprocessing to model deployment.
  • Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards.

20% of job: Leadership and Relationships

  • Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions.
  • Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies.

 

MINIMUM REQUIREMENTS

Education: Bachelor’s Degree in Computer Science, Engineering, Mathematics, or a related field

Preferred Education: Master’s Degree or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field

Work Experience: Minimum of 3 years of experience in AI/ML development or similar roles

Preferred Certifications:

  • Google Cloud Professional Data Engineer
  • Microsoft Certified Azure AI Engineer Associate
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning - Specialty

Behavioral Competencies:

  • Ability to analyze complex technical issues and create effective solutions
  • Ability to work cross-functionally with engineers, data scientists, and product teams
  • Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders
  • Open to new approaches and rapidly changing environments

Technical Competencies:

  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  • Strong background in programming languages like Python, Java, or C++
  • Experience with big data tools and technologies (e.g., Hadoop, Spark)
  • Experience with automating AI model training, deployment pipelines, and optimization processes
  • Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP
  • Experience in data preprocessing, feature extraction, and transforming raw data into usable formats
  • Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud
  • Proficient in software development practices, version control (Git), and testing frameworks
  • Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms

 

ENVIRONMENT OR PHYSICAL WORKING CONDITIONS

General office conditions apply. Light travel required.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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