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Remote Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Middle Office Sr. Associate

Raleigh, NC · On-site +1

$16.50 - $22/hr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Posted today

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Account Executive - Splunk (Remote)

Durham, NC · On-site +1

$269K - $360K/yr

Become known as a thought-leader in machine learning and predictive analytics. * Expand relationships and orchestrate complex deals across more diverse business stake-holders. * Holistically embrace ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ... and machine learning services and large language model integrations * Demonstrated ability to ...

Background managing distributed/remote teams across international time zones (US, Europe, Israel). * Experience integrating data pipelines, machine learning, or BI tools into product workflows. About ...

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ... machine learning services and large language model integrations • Demonstrated ability to ...

Showing results 41-60

Remote Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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.

What are the most commonly searched types of Machine Learning jobs in Raleigh, NC?

The most popular types of Machine Learning jobs in Raleigh, NC are:

What are popular job titles related to Remote Machine Learning jobs in Raleigh, NC?

For Remote Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Raleigh, NC look for?

The top searched job categories for Remote Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Machine Learning jobs?

Cities near Raleigh, NC with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Semantic Solutions Architect (Remote)

TopQuadrant

Raleigh, NC • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Our growing professional services team is looking for highly motivated full stack architects / developers/ consultants familiar with semantic technologies. Candidates should have experience or strong interest in working with Knowledge Graph technologies. The ideal candidate should excel at discerning the essence of complex problems and be creative in formulating solutions that use or extend the capabilities of our product and technology stack. Working for TopQuadrant brings you the opportunity to use cutting edge approaches ranging from semantic Knowledge Graphs systems (RDF, SHACL) to JavaScript/React, GraphQL, and other programming (Scala/Python/Java).


Semantic Solutions Architects work on customer projects that use our flagship product TopBraid Enterprise Data Governance (EDG) and the Linked Data standards it is based on to implement information management solutions. The role requires a person with strong skills for analyzing customer requirements and defining the appropriate solution design that considers all the required configurations and customizations of TopBraid EDG. Assisting customers with implementation activities is also a required skill.


The right candidate is a self-starter and quick learner interested in working with Knowledge Graph technologies to solve customer information management problems. Strong communication and interpersonal skills are required for close collaboration with customers, with our product development team located in Raleigh and with other TQ colleagues who are distributed across the US and Europe. Occasional travel will be required to customers throughout North America and Europe. However, most of the work will be performed remotely from TQ offices or a home office.


What you’ll be doing:

  • Working with customers and other TQ consultants to understand requirements, assess them against product capabilities; and design approaches for configuring product capabilities to fully meet customer requirements.
  • Utilizing GraphQL, SPARQL and scripting technologies for developing services, data transformations and rules. 
  • Testing performance of data models, queries and algorithms.
  • Documenting deliverables and educate customers on their use of TopBraid EDG through product trainings and workshops, knowledge transfer and mentoring

What we’re looking for:

Required Technical Skills and Qualifications

  • 3+ years software development experience, with skills in software engineering practices including version control using GitHub
  • Working knowledge of: HTML, CSS, JSON, JavaScript as a programming language
  • Understand template-driven application development to work with our semantic platform
  • Experience integrating full stack solutions with other enterprise infrastructure components 

Communication Skills and Work Habits

  • Strong interpersonal skills and customer presence
  • Ability to work well independently as part of a distributed team
  • Excellent communication skills, both oral and written
  • Excellent analytical and problem-solving skills
  • Ability to effectively prioritize and execute tasks in a fast-paced environment
  • Creativity in dealing with loosely defined requirements
  • Willingness to travel occasionally

Bonus:

  • Experience in developing semantic models using SHACL or RDFS/OWL/SPARQL to address customer requirements
  • Practical understanding and experience implementing data governance/information management solutions
  • Experience with Java and/or Scala
  • Experience with GraphQL
  • Experience using JS libraries such as React, jQuery and Bootstrap
  • Experience using machine learning technologies
  • Experience with RDBMS such as Oracle or MySQL
  • Previous work with rules and rule-based system
  • Experience conducting training sessions
Working at TopQuadrant is best exemplified by our values:

  • Possibility (aka the “Why Not” mentality): We embrace new ideas and ways of thinking because we never let an opportunity to “level up” pass us by. Piloting and testing good ideas will keep us learning. In general, moving faster is better.
  • Humility (aka “Gate check your baggage”): Best ideas win. We check our assumptions and our egos at the door. Titles, the “the way things were,” or “should have been” just don’t matter. The best ideas focus on the greater good. When in doubt, customers (and customer value) knows best.
  • Ownership: Finish lines matter. We expect ourselves and each other to step up and own processes and outcomes to completion. We give credit, let decision makers decide, ask for and give feedback, point fingers inward first, examine every cost, and never make excuses because that’s what makes great teams great.
  • Partnership: Customers value us because we provide them with superpowers they’ve never had. We do not simply provide a product or service, we engage as equal partners in their solution. We influence the outcome and express our expertise and opinions unapologetically. And when we succeed, we share in the value we deliver because we value our time, our technology, and ourselves.
  • Teamwork:  Be the person you’d want to work with. Build each other up.