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

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... As a digital pioneer, the company was the first to bring legal and business information online with ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... As a digital pioneer, the company was the first to bring legal and business information online with ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... As a digital pioneer, the company was the first to bring legal and business information online with ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

... online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

... online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

... online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

CoVar

Software Engineer

Durham, NC · On-site

They are seeking a motivated Software Engineer to develop and maintain applications that involve data processing and machine-learning algorithm integration. Responsibilities : • develop and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... As a digital pioneer, the company was the first to bring legal and business information online with ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

Provide technical leadership across machine learning, statistical modeling, feature engineering ... If you need a reasonable accommodation to complete the online application process, please email ...

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

Online Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do online machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for online 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong domain expertise can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and a track record of impactful projects.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What are the key skills and qualifications needed to thrive as an Online Machine Learning Engineer, and why are they important?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

Are there remote machine learning jobs?

Yes, many remote machine learning jobs are available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. These roles can be full-time or part-time and may involve collaboration through online platforms and cloud-based environments.

Which 3 jobs will survive AI?

Online machine learning specialists, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require advanced skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and certification in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
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 cities near Raleigh, NC are hiring for Online Machine Learning jobs? Cities near Raleigh, NC with the most Online Machine Learning job openings:
Online Machine Learning jobs near you
Manager Data Science

Manager Data Science

LexisNexis

Raleigh, NC • On-site

$115K - $192K/yr

Full-time

Posted 10 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

154th of 442 rated business services

Job description

Are you ready for a leading role?
Would you enjoy working on our cutting-edge products?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://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
As a Manager, Data Science, you will be a subject matter expert, defining projects and their execution. Leading direct and indirect reports, you'll influence and mentor distributed teams in best practices and methodologies.
We are seeking candidates who are highly experienced in leading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Key Responsibilities
  • Lead the development of advanced AI and machine learning models to solve complex business problems.
  • Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.
  • Work with cross-functional teams to ensure AI solutions align with business goals and customer needs.
  • Analyze large datasets to identify patterns and trends that inform AI development.
  • Communicate findings and insights to stakeholders in a clear and concise manner.
  • Stay current with the latest AI and machine learning trends and technologies.
  • Mentor junior data scientists and provide guidance on best practices.
  • Drive best practices across data science functions.
  • Set strategy and team direction, with a clear vision for Data Science.
  • Work with product leaders to apply data science solutions.
  • Evaluate and create new frameworks, define methodologies and governance.
  • Lead small- to medium-sized teams (direct or indirect).
  • Set a high bar for model development.

Requirements
  • Substantial experience in a senior data scientist role.
  • Experience leading complex projects and customer relationships.
  • Significant experience managing larger technical teams (direct or indirect).
  • Experience mentoring or training others, acting as a subject matter expert.
  • Natural problem solver, able to lead collaboration to resolve issues.
  • Excellent communication skills, able to convey information clearly to senior stakeholders.

Highly Desired Skills and Experience
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5 + years of people management experience.
  • 10 + years of experience in AI and machine learning.
  • Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.
  • Experience with design and delivery of Agentic AI solutions.
  • Experience with large language models and Transformer-based architectures.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation.
  • Understanding of business risks associated with applying LLMs.
  • Experience with large datasets and distributed computing systems (Hadoop, Spark).
  • Strong coding skills in Python or another programming language.
  • Excellent communicator, able to translate complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and the ability to think outside the box.

Work in a Way That Works for You
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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