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Remote Senior Machine Learning Engineer Jobs in Lexington, SC

Kaleris

Software Engineer

Columbia, SC · Remote

Senior Software Engineer About Kaleris Kaleris is a private equity-backed software firm focused on ... Ability to work independently and with distributed, international remote teams * Bachelor's degree ...

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 Jul 14, 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.

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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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 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 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.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
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
Citrix Virtual Apps Senior Technology Analyst

Citrix Virtual Apps Senior Technology Analyst

United Global Technologies

Columbia, SC • Remote

Full-time

Re-posted 6 days ago

Job description

Senior Technology Analyst
Duties:
Maintain a portfolio of multiple hardware and/or software technologies, products, and/or processes including standards of use, life cycles, and product evaluation and integration. Develop and maintain an in-depth pool of technical advice and expertise to provide information and guidance of the infrastructure assigned. Provide guidance and training to less experience staff.
Skills:
Required Skills and Abilities:
Extensive knowledge of a variety of information technology products and solutions. Excellent research, customer service, verbal and written communication, and presentation skills. Strong attention to detail. Good judgment. Ability to work and communicate effectively with all levels of the IT organization. Ability to lead and mentor less experienced staff. Required Software and Other Tools: Microsoft Office. Software and tools will vary based on the technologies supported. Work Environment: Fast paced, multi-platformed environment which may require action and response 24X7 to support the technical business needs of the customer.
Education:
Required Education:
Bachelor's degree Computer Science, Information Systems, or other job related field or 4 years of job related work experience or 2 years of job related experience plus an associate's degree in Computer Science, Information Technology or other job related degree Required Work Experience: 7 Years specific knowledge of the technologies, products, and/or processes to be supported. 3 Years directly supporting those technologies, products, and/or processes. (may be concurrent).

Location:
Columbia, SC, 29223
Schedule Notes:
***I/S - NO SUBCONTRACTOR CANDIDATES Credit Check required C2 Clarence***
Required Schedule: Hybrid - Onsite Tues-Thurs

Confirm standard work hours: 8 a.m. – 4:30 p.m.
Required Education:
Bachelor's degree Computer Science, Information Systems, or other job related field or 4 years of job related work experience or 2 years of job related experience plus an associate's degree in Computer Science, Information Technology or other job related degree.
Required Work Experience:
7 Years specific knowledge of the technologies, products, and/or processes to be supported. 3 Years directly supporting those technologies, products, and/or processes. (may be concurrent)

Team Name: End User Platform Services End User Platform Services is a highly technical team that owns and evolves local and remote end user services, including Citrix, VDI, VPN, Intune, network printing, and physical workstations. For senior engineers, this role offers more than operations—you'll help shape platform strategy and long-term technical vision, translating business capabilities into scalable standards and roadmap initiatives.
Required Technologies:
• Citrix Virtual Apps & Desktops (On Prem & Cloud) XenApp/XenDesktop, NetScaler, StoreFront, Windows Server, Active Directory, HA, performance tuning, and security
• Secure Remote Access / Zero Trust Zscaler (or equivalent), VPN technologies, and migration from legacy remote access models
• VDI & Endpoint Platforms Windows workstation platforms, VDI integration, and cross platform dependency awareness
• Enterprise Networking & Security Integration Firewalls, certificates, TLS, access controls, traffic routing, and security tooling as they impact endpoints and remote access
Nice to have:

• Citrix Platform (Cloud & On Prem)
• Modernizing legacy Citrix environments (LTSR upgrades, StoreFront optimization, infrastructure reduction) Secure Remote Access / Zero Trust (Zscaler, VPN)
• Designing and testing modern remote access patterns to replace or augment VPN/Citrix Endpoint & Virtual Workspace Technologies
• Integrating remote access solutions with workstation OS standards and VDI platforms
Not Looking for:
• Not an entry-level or mid-level analyst; this role requires senior, independent execution
• Not a help desk, desktop support, or break/fix–focused profile
• Not a role focused on application support or software development
• Not suitable for candidates without experience interfacing with leadership or executives
• Not a candidate uncomfortable producing documentation, diagrams, or executive-level write-ups