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Remote Machine Learning Jobs in Charlottesville, VA

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Charlottesville, VA

Remote Machine Learning information

See Charlottesville, VA salary details

$25.3K

$42.2K

$87.3K

How much do remote machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote machine learning in Charlottesville, VA is $42,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Charlottesville, VA? The most popular types of Machine Learning jobs in Charlottesville, VA are:
What are popular job titles related to Remote Machine Learning jobs in Charlottesville, VA? For Remote Machine Learning jobs in Charlottesville, VA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Charlottesville, VA look for? The top searched job categories for Remote Machine Learning jobs in Charlottesville, VA are:
What cities near Charlottesville, VA are hiring for Remote Machine Learning jobs? Cities near Charlottesville, VA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Charlottesville, VA as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,245 per year, or $20.3 per hour.
AI Cyberthreat Systems Analyst, Senior

AI Cyberthreat Systems Analyst, Senior

Booz Allen Hamilton, Inc.

Charlottesville, VA • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 13 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 73 rated business consultants

Job description


Remote Work:
No
Job Number:
R0240274
Location:
Charlottesville,VA,US
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AI Cyberthreat Systems Analyst, Senior
The Opportunity:
Booz Allen is seeking a senior Computer Systems Analyst to support intelligence community ground force reporting requirements. You'll work as part of a contract team performing in-depth technical identification, analysis, and mitigation of emerging artificial intelligence and machine learning threats of adversary peer and near-peer conventional and irregular warfare threats to U.S. operations. The ideal candidate is a seasoned intelligence professional with a deep understanding of artificial intelligence capabilities, specifically algorithmic applications, clustering, data analytics, model patching, and distillation. In this role, you will inform artificial intelligence and counter-artificial intelligence strategies by authoring all-source intelligence products that adhere to client and IC standards using a multi-disciplined intelligence approach through various data collection procedures and technologies, including emerging artificial intelligence, counter-artificial intelligence, computer science, and big data methodologies.
Join us. The world can't wait.
You Have:
  • Ability to analyze algorithms to determine operational applications, intent, and maturity in communications and cyber environments
  • Ability to examine artificial intelligence and machine learning technical implications, data clustering methodologies, advanced data analytics, model distillations, and systems update cycles
  • Ability to provide in-depth scientific and technical analysis to support technical and analytic operations and knowledge management across organizational and intra-IC boundaries and clearly articulate key findings
  • Ability to work independently and with minimal oversight as well as collaborate with technical professionals and mission leaders that inform strategic policy
  • Ability to define comprehensive, new, or unique research approaches that enable rigorous assessments to address and contribute to high-level tasks
  • Ability to review analytic products for cogent arguments, tradecraft standards, and adequate support for conclusions and routinely test analytic rigor of analytic products
  • Ability to deliver briefings to technical professionals, senior leadership, and IC stakeholders
  • TS/SCI clearance
  • Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) field and 5+ years of experience in intelligence analysis or cyber threat analysis, or 10+ years of experience in intelligence analysis or cyber threat analysis in lieu of a degree

Nice If You Have:
  • 12+ years of experience in intelligence analysis, cyber threat analysis, or a related field
  • Experience working on specialized technology warning, cyber or AI Red Teaming, or adversary algorithm emulation
  • Knowledge of artificial intelligence and machine learning applications
  • Knowledge of DoW artificial intelligence guidelines, operational constraints and frameworks, intelligence processes, activities, standards, and available analytic tools
  • Master's degree in a Science, Technology, Engineering or Mathematics (STEM) field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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