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

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Sennos

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Create and optimize datasets and views to support analytics, reporting, machine learning, and ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

General Motors

Senior AI/ML Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data‑centric AI projects -- especially ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

HedgeServ

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

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 ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

DataAnnotation

Automated QA Engineer - AI Trainer

Cary, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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People also search for

All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Raleigh, NC

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 Jun 18, 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 are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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.

More about Remote Machine Learning jobs
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:
Remote Machine Learning jobs near you

Senior AI Technologist

Berriehill Research

Raleigh, NC • On-site, Remote

$48.75 - $63/hr

Full-time

Posted 15 days ago

Job description

Essential Functions:

  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling.
  • Design and implement data structures, metadata models, naming conventions, and data standards to support AI and machine learning initiatives.
  • Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows.
  • Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows.
  • Build and maintain data preparation pipelines to support model training, testing, retrieval, and operational AI applications.
  • Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints.
  • Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls.
  • Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field 8-10 years of engineering experience
  • 3+ years of experience supporting AI, natural language processing, RAG, and related solutions.
  • Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications.
  • Experience designing vector databases and retrieval pipelines.
  • Experience developing MCP Servers and Clients.
  • Understanding of data quality management practices, including validation, normalization, deduplication, and error handling.
  • Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock).
  • Strong experience developing AI solutions in Python, Golang, or Typescript.
  • Strong analytical, troubleshooting, and documentation skills.

Preferred:

  • Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ecosystems.
  • Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows.
  • Experience designing data schemas, taxonomies, ontologies, or metadata standards for enterprise information.
  • Experience working in regulated environments with standards such as NIST or CMMC.
  • Experience supporting scientific, engineering, defense, or national security-related data initiatives.
  • Experience working with DevOps systems, git, CI/CD, GitOps.
  • DoD experience.
  • Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance.

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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