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Remote No Experience Machine Learning Jobs in Virginia

NT Concepts

Machine Learning Engineer

Vienna, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: * Collaborate with a cross ... Practical experience training and deploying Machine Learning models. Ideal candidate would have ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Practical experience training and deploying Machine Learning models. Ideal candidate would have ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Practical experience training and deploying Machine Learning models. Ideal candidate would have ...

Varsity Tutors

Machine Learning Tutor

Fairfax, VA · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Leesburg, VA · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Alexandria, VA · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Blacksburg, VA · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Virginia Beach, VA · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

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Remote No Experience Machine Learning information

What are the key skills and qualifications needed to thrive in a remote, entry-level machine learning role, and why are they important?

To thrive in a remote, entry-level machine learning role, you need a solid understanding of mathematics, programming (especially Python), and basic machine learning concepts, often gained through online courses or a relevant degree. Familiarity with technical tools such as Jupyter Notebooks, TensorFlow, or scikit-learn, and experience using version control systems like Git are commonly expected. Strong self-motivation, effective communication, and the ability to collaborate virtually make candidates stand out in remote environments. These skills and qualities are crucial for successfully contributing to projects, adapting to new technologies, and working efficiently with distributed teams.

What are some typical entry-level tasks for remote machine learning roles that require no prior experience?

In remote entry-level machine learning positions that don't require experience, you'll often start with foundational tasks such as data cleaning, labeling datasets, basic exploratory data analysis, or assisting with the implementation of machine learning algorithms under supervision. You may also be responsible for maintaining project documentation and supporting more experienced team members with research or testing. Collaboration usually takes place via online platforms, so strong communication and the ability to learn new tools quickly are important. These tasks are designed to help you build foundational skills and gradually take on more complex responsibilities as you grow in the role.

What is the difference between Remote No Experience Machine Learning vs Remote No Experience Data Analysis?

AspectRemote No Experience Machine LearningRemote No Experience Data Analysis
Required CredentialsBasic understanding of programming, statistics, and data concepts; no formal certification neededBasic knowledge of data handling, Excel, and analytical tools; no formal certification needed
Work EnvironmentRemote, often collaborative with data science teamsRemote, often independent or team-based data review tasks
Industry UsageUsed in tech, finance, healthcare for predictive modelingUsed across industries for reporting, insights, and decision-making

While both roles are entry-level and remote, Machine Learning focuses on understanding algorithms and predictive models, whereas Data Analysis emphasizes interpreting data and generating reports. Your choice depends on whether you prefer working with algorithms and coding or analyzing data for insights.

What are the most commonly searched types of Remote Machine Learning jobs in Virginia? The most popular types of Remote Machine Learning jobs in Virginia are:
What are popular job titles related to Remote No Experience Machine Learning jobs in Virginia? For Remote No Experience Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote No Experience Machine Learning jobs in Virginia look for? The top searched job categories for Remote No Experience Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote No Experience Machine Learning jobs? Cities in Virginia with the most Remote No Experience Machine Learning job openings:
Remote No Experience Machine Learning jobs near you
Machine Learning Modeling Engineer

Machine Learning Modeling Engineer

My3Tech Inc

Glen Allen, VA • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Location: Remote or Richmond, VA
Job Description:
Position Overview: We are looking for a Machine Learning Data Engineer with a strong software engineering background and experience in building and understanding predictive models. The ideal candidate will have experience in the P&C insurance industry and be proficient in SQL, Azure, and Databricks. Experience with Generalized Linear Models (GLM) is a plus.
Key Responsibilities:
  • Develop and implement machine learning models and data solutions to support our insurance operations.
  • Collaborate with data scientists, software engineers, and other stakeholders to ensure successful deployment of models.
  • Manage and process data in cloud environments, particularly using Azure services.
  • Utilize Databricks for data processing and model deployment.
  • Develop and maintain data pipelines and data integration solutions.
  • Ensure the scalability and reliability of machine learning solutions.
  • Apply GLM techniques to enhance predictive modeling and pricing strategies.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Strong software engineering background with proficiency in programming languages such as Python, Java, or C++.
  • Solid understanding of machine learning concepts and experience in building and deploying models.
  • Extensive experience with SQL and data manipulation.
  • Hands-on experience with Azure services, including Azure Data Factory.
  • Proficiency in Databricks for data engineering and model deployment.
  • Knowledge of various databases and their implementation in cloud environments.
  • Experience in the Property & Casualty (P&C) insurance industry is highly preferred.
  • Experience with Generalized Linear Models (GLM) is a plus.
Technical Skills:
  • SQL
  • Azure (Azure Data Factory, other data-related services)
  • Databricks
  • Cloud Technologies (data storage and processing)
  • GLM (preferred)
Preferred Experience:
  • Previous experience in the Property & Casualty (P&C) insurance industry.
  • Experience with large-scale data processing and integration.
  • Strong problem-solving skills and the ability to work in a collaborative environment.

Required Skills : All of the below skills are must have. Please send candidates with all the skills including the Property and Casualty insurance background. If they do not have P&C insurance background, they will be rejected. Property and Casualty insurance experience - modeling around P&C insurance. Machine Learning experience GenAI experience Python SQL Databricks Azure
Basic Qualification :
Additional Skills :
long-term contract
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :long-term contract
Project Verification Info :
Exclusive to Apex :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :

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