ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Mount Pleasant, SC

Maymont Homes

Data Scientist

Charleston, SC · Remote

The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to solve complex business challenges and enable data-driven decision-making across the organization.

Brookfield Properties

Data Scientist

Charleston, SC · Remote

The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to solve complex business challenges and enable data-driven decision-making across the organization.

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Munich Re

Data Scientist, AI

Charleston, SC · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

Workiva, Inc.

Senior AI Product Manager

Charleston, SC · On-site +1

$118K - $156K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

next page

Showing results 1-20

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Mount Pleasant, SC

Remote Machine Learning information

See Mount Pleasant, SC salary details

$24.4K

$40.7K

$84.1K

How much do remote machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote machine learning in Mount Pleasant, SC is $40,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 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 popular job titles related to Remote Machine Learning jobs in Mount Pleasant, SC? For Remote Machine Learning jobs in Mount Pleasant, SC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Mount Pleasant, SC look for? The top searched job categories for Remote Machine Learning jobs in Mount Pleasant, SC are:
What cities near Mount Pleasant, SC are hiring for Remote Machine Learning jobs? Cities near Mount Pleasant, SC with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Mount Pleasant, SC as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $40,702 per year, or $19.6 per hour.
Azure Data & AI Architect - Remote US

Azure Data & AI Architect - Remote US

eGroup Enabling Technologies

Charleston, SC • On-site, Remote

$135K/yr

Full-time

Posted 29 days ago

Job description

eGroup is a remote-first technology consulting organization and Microsoft partner, focused on delivering thoughtful, reliable solutions while building lasting relationships-with our clients and with one another. We are a nine-time Microsoft Partner of the Year award winner, reflecting our deep technical expertise and commitment to excellence. Our people are at the center of our success, and we believe great work happens when employees feel trusted, supported, and respected. We are committed to integrity, collaboration, accountability, and creating an inclusive workplace where individuals can do meaningful work and continue to grow.
eGroup is hiring a Azure Data & AI Architect to design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).
This is a hands-on consulting role - approximately 80% delivery / build work, with the remainder focused on continuous learning and occasional pre-sales support.
You'll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and non-technical stakeholders.
  • This role is not research-only, prompt-only, or slideware-focused. You will be expected to ship real solutions.
  • This role is client-facing. Clear, timely communication and follow-through are part of the job.
  • We review applications for specificity and real project ownership. If your application is generic, overly polished, or doesn't show what you built, it will not move forward.

Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.
Key Responsibilities
Lead End-to-End Solution Delivery
  • Own delivery end-to-end: requirements → architecture → design → build → test → deployment
  • Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release

Architect AI Solutions
  • Design and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio
  • Emphasize security, governance, and real-world usability over experimentation for its own sake

Develop Modern Data Platforms
  • Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric
  • Deliver production-grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads

Leverage Automation & Power Platform (Bonus Skill)
  • Use Power Platform (Power Apps, Power Automate, Power BI) when it's the right tool for rapid business value
  • Power Platform experience is a plus, not the primary focus

Collaborate Across Teams
  • Partner with engineers and business stakeholders to translate requirements into buildable designs
  • Coordinate with security and governance teams to ensure solutions meet best practices and client constraints

Client Engagement & Communication
  • Communicate architecture decisions - including tradeoffs - in plain language
  • Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change

Innovation & IP Development
  • Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality

Continuous Learning
  • Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions

Pre-Sales Support (As Needed)
  • Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs

Required Qualifications
Experience
  • 10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on Azure
  • Clear evidence of personal ownership - you can explain what you built, why you chose it, and what you'd change next time

Azure & Data Expertise
  • Hands-on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric

Architecture Judgment
  • Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
  • Practical operational mindset (CI/CD and MLOps experience is a plus)

Problem-Solving & Adaptability
  • Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand-holding

Communication & Leadership
  • Strong client-facing communicator who can explain complex decisions clearly and lead technical direction confidently

Education
  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience

Preferred Qualifications
  • Consulting or professional services background
  • Power Platform and Power BI experience
  • Microsoft Fabric and data governance familiarity
  • Azure DevOps, CI/CD, and infrastructure-as-code experience
  • Relevant Microsoft certifications
  • Python used in real production systems
  • Experience writing and maintaining code for data processing, automation, or model deployment

If you want to do real client delivery at the intersection of data, AI, and Microsoft, and you enjoy owning outcomes from early discovery through go-live, we'd love to meet you.

Apply