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Junior Ai Machine Learning Python Jobs in Richmond, VA

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

... Python Integrate AI agents with enterprise tools, APIs, and workflows Evaluate, monitor, and ... machine learning, AI engineering, or applied ML Strong proficiency in Python for ML and backend ...

Palnar

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 ...

Varsity Tutors

Machine Learning Tutor

Richmond, VA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Luck Stone

AI Engineer

Manakin Sabot, VA

$152K/yr

Design, develop, and implement AI and machine learning models for a variety of business ... Provide technical guidance and support to junior team members, helping them grow their skills in AI ...

Capital One

Lead Machine Learning Engineer (IC)

Richmond, VA · On-site +1

$101K - $133K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... AI * Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor ...

Luck Stone Corporation

AI Engineer

VA · On-site

$152K/yr

Design, develop, and implement AI and machine learning models for a variety of business ... Provide technical guidance and support to junior team members, helping them grow their skills in AI ...

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Junior Ai Machine Learning Python information

See Richmond, VA salary details

$46K

$93.6K

$140.5K

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

As of Aug 29, 2026, the average yearly pay for junior ai machine learning python in Richmond, VA is $93,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $94,500.00 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 Richmond, VA?

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

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

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

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

Cities near Richmond, 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 Richmond, VA as of June 2026, with employment types broken down into 67% Full Time, 21% Part Time, 3% Temporary, 6% Contract, and 3% Nights. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $93,562 per year, or $45 per hour.

AI Research Scientist - Machine Learning

Richmond, VA • On-site

AIToolboard
See more jobs at AIToolboardexternal

$120 - $190/hr

Other

Posted 10 days ago

Job description

Jobs / AI Research Scientist - Machine Learning

AI Research Scientist - Machine Learning

Full-time

About the Role

Our client is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge R&D team in Richmond, Virginia, US. This role is at the forefront of developing next-generation AI technologies and algorithms. You will be responsible for designing, implementing, and evaluating advanced machine learning models, conducting groundbreaking research, andcontributing to high-impact AI applications. The ideal candidate possesses a strong academic background, a deep understanding of ML principles, and a passion for pushing the boundaries of artificial intelligence.Key Responsibilities:Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML techniques, including supervised, unsupervised, reinforcement learning, and neural networks. Analyze large datasets, preprocess data, and extract meaningful features for model training. Evaluate model performance, identify areas for improvement, and iterate on designs. Collaborate with software engineers to deploy and integrate AI models into production systems. Stay current with the latest advancements in AI and ML research through literature review and conference participation. Publish research findings in leading scientific journals and present at conferences. Mentor junior researchers and interns, fostering a collaborative research environment. Contribute to the intellectual property portfolio through patent applications.Qualifications:Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven research experience demonstrated through publications in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong theoretical foundation in machine learning, deep learning, and statistical modeling. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, scikit-learn. Experience with data manipulation and analysis tools. Ability to design and conduct rigorous experiments, interpret results, and draw insightful conclusions. Excellent problem-solving skills and creativity in developing novel solutions. Strong communication and presentation skills, with the ability to articulate complex technical concepts. Experience with distributed computing frameworks (e.g., Spark) is a plus. Experience in specific domains like NLP, computer vision, or reinforcement learning is highly desirable. Join a forward-thinking team that is shaping the future of AI. This exciting opportunity is based in Richmond, Virginia, US .

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