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Junior Ai Machine Learning Python Jobs in Midlothian, VA

Capital One

Lead Machine Learning Engineer

Richmond, VA · On-site

$101K - $133K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... developing AI and ML algorithms or technologies using Python * 2+ years of experience with ...

Capital One

Lead Machine Learning Engineer

Richmond, VA · On-site

$101K - $133K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... developing AI and ML algorithms or technologies using Python * 2+ years of experience with ...

Varsity Tutors

Python Tutor

Richmond, VA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Xtreme Solutions Inc

AI/ML Technical Lead

Petersburg, VA · On-site +1

... machine-learning solutions. * Hands-on production AI/ML development experience. * Strong Python and SQL skills. * Experience delivering at least three substantive models or AI capabilities. * At ...

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All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Midlothian, VA

Junior Ai Machine Learning Python information

See Midlothian, VA salary details

$44.1K

$89.6K

$134.5K

How much do junior ai machine learning python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for junior ai machine learning python in Midlothian, VA is $89,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $90,500.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Midlothian, VA?

For Junior Ai Machine Learning Python jobs in Midlothian, VA, the most frequently searched job titles are:

What job categories do people searching Junior Ai Machine Learning Python jobs in Midlothian, VA look for?

The top searched job categories for Junior Ai Machine Learning Python jobs in Midlothian, VA are:

What cities near Midlothian, VA are hiring for Junior Ai Machine Learning Python jobs?

Cities near Midlothian, VA with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Midlothian, VA as of June 2026, with employment types broken down into 72% Full Time, 7% Part Time, 7% Temporary, 7% Contract, and 7% Nights. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $89,563 per year, or $43.1 per hour.

AI Engineer at TECHEAD Richmond, VA

CDL Labor Logistics

Richmond, VA • On-site

$110 - $140/hr

Other

Posted yesterday

New

Job description

AI Engineer job at TECHEAD. Richmond, VA.

Direct - Hire

100% onsite

Local Candidates Only

Richmond, VA

Start Date: November 2025

No C2C Candidates!

ESSENTIAL FUNCTIONS

60% 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.
Continuous Improvement (20%)
  • 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.
Leadership and Relationships (20%)
  • 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.
TOP REQUIREMENTS
  • Strong communications
  • Critical Thinking
  • Extensive experience with Cloud Platforms
  • Strong foundation in math and statistics
MINIMUM REQUIREMENTS

Preferred Certifications:

  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure AI Engineer Associate
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning – Specialty
Work Experience
  • Minimum of 3 years of experience in AI/ML development or similar roles.
  • 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.
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
  • 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.
Required Education
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Preferred Education
  • Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field.

TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non‑discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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