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Home Based Python Machine Learning Jobs in Garner, NC

RELX

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136K - $252K/yr

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML ...

LexisNexis

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136K - $252K/yr

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

This role is a hybrid work model (4 days in office, 1 day work from home) based out of our ... Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.

CoVar

Software Engineer

Durham, NC · On-site

... machine-learning algorithm integration. Responsibilities : • develop and maintain real-time ... D, and/or 3+ years of experience • Expertise in Python with a minimum of two years of ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

Provide technical leadership across machine learning, statistical modeling, feature engineering ... Hands-on experience with Python, SQL, Git, and modern analytics development practices. * Experience ...

Peter Millar

Senior Data Scientist

Durham, NC

Based in Raleigh and Durham, North Carolina, the American lifestyle brand has grown to include ... machine learning, or advanced analytics. * Strong proficiency in Python and SQL with production ...

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Home Based Python Machine Learning information

See Garner, NC salary details

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How much do home based python machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for home based python machine learning in Garner, NC is $52.25, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $59.38 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What job categories do people searching Home Based Python Machine Learning jobs in Garner, NC look for? The top searched job categories for Home Based Python Machine Learning jobs in Garner, NC are:
What cities near Garner, NC are hiring for Home Based Python Machine Learning jobs? Cities near Garner, NC with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Principal Machine Learning Engineer I

Principal Machine Learning Engineer I

RELX

Raleigh, NC • On-site

$136K - $252K/yr

Full-time

Re-posted 29 days ago

Job description

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

Do you love collaborating with teams to solve complex technical problems?

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.

You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks designed for complex large unstructured data.

Responsibilities:

  • Provide architectural direction and code-level guidance.

  • Establish engineering best practices for ML system design, testing, and deployment.

  • Conduct design reviews, performance reviews, and technical roadmap planning.

  • Architect distributed ML systems serving multiple global products.

  • Standardize infrastructure patterns for LLM serving and retrieval systems.

  • Define and implement enterprise-ready agentic frameworks.

  • Architect multi-step reasoning systems.

  • Lead decisions on deterministic workflows vs. autonomous agents.

  • Implement guardrails, safety layers, and traceability mechanisms.

  • Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.

  • Establish CI/CD standards for ML lifecycle management.

  • Ensure compliance with enterprise data governance and responsible AI standards.

Requirements

  • 10 + years of Machine Learning/Software Engineer experience

  • Master's degree or bachelor's degree, computer science degree is highly desirable.

  • Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data

  • Experience with ML deployment to production

U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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