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Remote Machine Learning Engineer Jobs in Haw River, NC

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 ... DevOps, security, business applications, and/or analytics. Subscription, SaaS, or Cloud software ...

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

Linear Algebra Tutor

Durham, NC · Remote

$18 - $40/hr

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

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

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 ...

Staff Software Engineer

Durham, NC · On-site +1

$151K - $222K/yr

Meet The Team Join Splunk and help shape the future of machine data! At Splunk, we're driven by a ... Mentor junior engineers and contribute to a culture of learning, ownership, and continuous ...

Showing results 21-40

Remote Machine Learning Engineer information

See Haw River, NC salary details

$22.8K

$93.1K

$139.8K

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

As of Aug 11, 2026, the average yearly pay for remote machine learning engineer in Haw River, NC is $93,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $112,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What cities near Haw River, NC are hiring for Remote Machine Learning Engineer jobs? Cities near Haw River, NC with the most Remote Machine Learning Engineer job openings:

Sr. Robotics Automation Architect (RPA)

Connect Tech+Talent

Durham, NC • Remote

Contractor

Posted 5 days ago


Job description

Job Description Job Description Sr. Robotics Automation Architect Location: Durham, NC (Remote) Role Type: 12 Month Contract Work Authorization: Independent Visa only Core Skillset: Candidates must have a minimum of 10+ years of progressive experience in RPA and intelligent automation architecture, with deep, referenceable expertise in the following specialized platforms: UiPath Automation Hub: Proven ability to build enterprise-wide lifecycle governance frameworks, structure intake pipelines, and drive prioritization metrics at scale. UiPath AI Center: Hands-on experience orchestrating ML-integrated automation pipelines to deliver adaptive, intelligent workflows.

UiPath Process Mining: Practical execution of large-scale process discovery, bottleneck analysis, and data-driven automation mapping. UiPath Communications Mining: Experience utilizing NLP-driven automation discovery to optimize transactional and customer service workflows. Automation Anywhere Bot: Deep familiarity with operational analytics dashboard development, bot performance tracking, and direct ROI reporting frameworks.

ABBYY Vantage: Mastery of Intelligent Document Processing (IDP) to extract and process structured/unstructured data from complex enterprise documents (invoices, legal contracts, etc.). The Mission: We are launching a critical, top-priority enterprise transformation initiative to scale our digital workforce and integrate advanced process intelligence. We are seeking a forward-thinking Lead Intelligent Automation & Process Architecture Specialist to steer the technical design and execution of this next-generation ecosystem

This is a brand-new mandate focused on bridging the gap between core RPA platforms, machine learning, and advanced natural language process discovery. The ideal architect will balance high-level strategic governance with the technical execution required to scale our production footprint past 100+ automated workflows. Note Key Areas to Focus: UiPath Automation Hub, UiPath AI Center, UiPath Process Mining, ABBYY Vantage Also, attach a small write-up on the below questions.