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Remote Machine Learning Jobs in Edmund, SC (NOW HIRING)

Kaleris

Software Engineer

Columbia, SC · Remote

Ability to work independently and with distributed, international remote teams * Bachelor's degree in Computer Science or a related field, or equivalent practical experience Nice to Have * Experience ...

Cloudbeds

Senior Software Engineer

North, SC · Remote

$145K - $165K/yr

Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team Bonus Skills to Stand Out: * Experience ...

Greenlight Guru

Sr. Software Engineer I

North, SC · On-site +1

$113K - $149K/yr

Remote-first culture * Home Office stipend upon hire * Multiple Health insurance options (vision, medical, dental) * 401k (with company match) * Equity Program Eligibility (based on role and/or ...

Unum UK

Sr. Data Engineer - CX Analytics

Columbia, SC · Remote

$105K - $127K/yr

Current remote and field-based Unum employees may apply and will be considered in accordance with company policy. Principal Duties and Responsibilities * Employ a variety of languages and tools to ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Edmund, SC

Remote Machine Learning information

See Edmund, SC salary details

$21.8K

$36.4K

$75.2K

How much do remote machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote machine learning in Edmund, SC is $36,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,300.00 per year, depending on experience, location, and employer.

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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What cities near Edmund, SC are hiring for Remote Machine Learning jobs? Cities near Edmund, SC with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Edmund, SC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,409 per year, or $17.5 per hour.

Software Engineer

Kaleris

Columbia, SC • Remote

Full-time

Re-posted yesterday

Job description

Job Description:

Senior Software Engineer

About Kaleris

Kaleris is a private equity-backed software firm focused on supply chain optimization, headquartered in Atlanta, Georgia. We are a global leader in the supply chain execution market, accelerating the digital transformation of supply chains for industrial and finished goods shippers and carriers - combining best-in-class solutions for yard management, shipment visibility, and asset management across rail, truck, and multi-mode transportation.

Role Overview

We are looking for a Senior Software Engineer who thrives in a dual-track role: delivering on product roadmap commitments while serving as a technical escalation point for prioritized customer issues. You will bring deep engineering expertise to both planned feature development and reactive problem-solving, working closely with product, engineering, and customer success teams to keep our yard management and finished vehicles logistics solutions moving forward.

This is a high-impact role for someone who is as comfortable diving deep into an escalated customer issue as they are designing a well-architected feature.

Day-to-Day Responsibilities

Customer Issue Resolution

  • Receive and own pre-triaged, escalated customer issues from the Customer Support team and drive them to resolution
  • Debug and diagnose complex production and integration problems across the full stack
  • Identify root causes and implement durable fixes - not just workarounds
  • Communicate proactively with stakeholders on issue status, timelines, and resolution plans
  • Document findings and contribute to internal knowledge bases to reduce repeat escalations

Roadmap Development

  • Collaborate with teammates to formulate detailed designs, implement solutions from requirements, and estimate effort
  • Participate actively in agile product development, including sprint planning, code reviews, and retrospectives
  • Adhere to test-driven development practices and maintain high standards for code quality
  • Support product deployments, configuration, and post-release validation

Experience Needed

  • 5+ years of software development experience, with a track record of owning complex features end-to-end
  • Strong Java proficiency - able to design, build, debug, and own Java-based services and features end-to-end
  • Strong debugging and analytical skills - comfortable isolating issues across frontend, backend, and data layers
  • Hands-on experience with HTML, CSS, JavaScript, and AJAX
  • Solid experience with PostgreSQL - writing queries, analyzing execution plans, and resolving data issues
  • Familiarity with queuing systems and API integrations (Redis/Resque, JSON-based systems, or similar)
  • Demonstrated ability to balance competing priorities - planned roadmap work alongside resolving escalated issues
  • Excellent verbal and written communication skills; English proficiency required
  • Ability to work independently and with distributed, international remote teams
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Nice to Have

  • Experience with Ruby on Rails or comparable MVC web frameworks (Django, Laravel, or similar)
  • C++ experience
  • Familiarity with GPS, location-based services, or digital mapping technologies
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and deployment pipelines
  • Background in supply chain, logistics, or transportation software

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply