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Remote Senior Machine Learning Engineer Jobs in Lexington, SC

Cloudbeds

Senior Fullstack Engineer

North, SC · Remote

$145K - $165K/yr

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and ... distributed, remote-first team Bonus Skills to Stand Out: * Experience designing and building ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Greenlight Guru

Sr. Software Engineer I

North, SC · On-site +1

$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 ...

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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
Senior Software Engineer, Zone Procure

Senior Software Engineer, Zone Procure

Zone & Co

Columbia, SC • Remote

$113K - $149K/yr

Other

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

Job description

About the Job:

The Senior Software Engineer acts as a high-leverage technical leader, protecting Zone against long-term technical and business costs. This role handles high-stakes ambiguity and complexity, ensuring that as Zone scales its AI-native platform, the underlying architecture remains scalable, testable, and aligned with global financial standards.

This role owns the technical delivery of complex product modules and reports to an Engineering Manager. As a force multiplier for the team, the Senior Software Engineer collaborates with Product, Architecture, and FinOps leads to turn vague business requirements into high-integrity technical plans. The scope includes defining patterns for multi-entity consolidation and global tax compliance across NOAM, EMEA, and APAC.

This is a distinctive opportunity to lead the evolution of "Agentic Finance." This role is not just about writing code; it is about engineering the systems that allow autonomous AI agents to perform high-consequence financial tasks with 100% reliability.

What You'll Do:
  • Architects and delivers complex, high-value features across the Zone platform, ensuring all solutions are scalable, observable, and aligned with NetSuite SuiteCloud constraints.
  • Leads the integration of AI as a force multiplier, choosing the right AI workflows for implementation and debugging to improve team throughput without compromising quality.
  • Protects system integrity by identifying technical tradeoffs early and choosing designs that reduce long-term complexity and maintenance overhead.
  • Decomposes vague requirements into staged execution plans that reduce risk and improve team-wide delivery predictability.
  • Drives the engineering of automated validation frameworks that verify AI-generated and human-written code against US GAAP and IFRS logic.
  • Owns outcomes beyond implementation, translating technical debt and architectural choices into clear business consequences for stakeholders.
  • Improves surrounding code quality by proactively refactoring fragile paths and establishing higher standards for review and documentation.
  • Anticipates architectural pressure points, resolving bottlenecks before they impact the delivery of the product roadmap.
  • Mentors mid-level and junior engineers through rigorous code reviews, design guidance, and the promotion of AI-native best practices.
  • Owns and delivers against OKRs and KPIs with accountability for outcomes, quality, and timelines while proactively identifying and resolving blockers.
What You'll Need:
  • 6+ years of professional software engineering experience, with a significant focus on Fintech, Payments, or ERP-integrated SaaS.
  • Expertise in JavaScript/TypeScript and deep experience with the NetSuite SuiteCloud platform (SuiteScript 2.x).
  • Proven ability to lead complex projects from ambiguity to successful production delivery in a globally distributed environment.
  • Strong judgment in verification discipline, with experience designing testable solutions for high-consequence business logic.
  • Proven effectiveness in fully remote, asynchronous, globally distributed environments with high autonomy and disciplined self-direction.
  • Exceptional communication and collaboration skills with the ability to influence technical and non-technical stakeholders across time zones.

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