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Remote Senior Machine Learning Engineer Jobs in Lexington, SC

Greenlight Guru

Sr. Software Engineer I

North, SC · Remote

$113K - $149K/yr

We are seeking a highly capable Senior Software Engineer to deliver high-quality, scalable software ... Remote-first culture * Home Office stipend upon hire * Multiple Health insurance options (vision ...

Varsity Tutors

Python Tutor

Columbia, SC · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Linear Algebra Tutor

Columbia, SC · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Mechanical Engineering Tutor

Columbia, SC · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Lexington, SC

Remote Senior Machine Learning Engineer information

See Lexington, SC salary details

$64.6K

$122.7K

$164.3K

How much do remote senior machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote senior machine learning engineer in Lexington, SC is $122,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $138,200.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Lexington, SC?

For Remote Senior Machine Learning Engineer jobs in Lexington, SC, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Lexington, SC look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Lexington, SC are:

What cities near Lexington, SC are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Lexington, SC with the most Remote Senior Machine Learning Engineer job openings:

Remote Senior Machine Learning Engineer jobs near you

Sr Application Developer

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

$88K - $122K/yr

Contractor

Re-posted 13 days ago

Job description

Sr Application Developer Location: Remote Interview Process: 1 round, virtual Duration: 12+ Months Employment Type: Contract (C2C / W2) Experience Required: 12+ Years Work Requirement: No SC residency required. Candidate must reside in lower 48 states (Continental US) and comfortable working EST time zone hours. Project Scope: We are seeking an experienced Senior Application Developer to support the maintenance, enhancement, and operational stability of enterprise case management and juror management systems built on a CA Plex (model-driven) platform.

This role is critical in ensuring business continuity for mission-critical systems, while supporting integrations, improving data quality, and maintaining performance as part of ongoing modernization efforts. Key Responsibilities: Application Maintenance & Support Maintain and support CA Plex-based applications across multiple environments Troubleshoot production issues, defects, and data anomalies Perform root cause analysis and implement long-term fixes Provide support for critical system issues as needed Enhancements & Business Logic Updates Design and implement enhancements within the CA Plex model Modify: Business rules Screens and workflows Batch processes and reports Ensure updates align with business and regulatory requirements CA Plex Development Work within the CA Plex development environment to update objects and functions Regenerate and deploy application components Maintain integrity of model-driven architecture Database & Data Management Develop and optimize SQL Server (T-SQL) queries and stored procedures Perform data corrections and data integrity checks Tune performance for large-scale datasets System Integration Support Maintain integrations with internal and external systems Support transition from legacy interfaces to API-based integrations Ensure data consistency across systems Reporting & Data Support Develop queries and data extracts for reporting Support data feeds into data warehouse environments Collaborate with analytics teams to ensure data accuracy Collaboration & Documentation Work with business users and technical teams to deliver solutions Document system changes, business rules, and technical processes Support knowledge transfer to internal teams Required Skills & Experience: 12+ years of application development experience 7+ years of experience with CA Plex or similar 4GL/model-driven environments 7+ years of experience with SQL Server / T-SQL 7+ years of experience maintaining legacy or enterprise systems Strong debugging, troubleshooting, and problem-solving skills Preferred Skills: Experience with data warehouse architecture (star/snowflake schema) Knowledge of Power BI backend optimization Familiarity with .NET data access patterns Experience with Always On Availability Groups Exposure to Azure DevOps Familiarity with security tools (e.g., WAF solutions) Experience working with large-scale legacy data environments Education: Bachelor's Degree in Computer Science, Information Systems, or equivalent experience

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