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

Senior Data Scientist III

Raleigh, NC · On-site

$115.40K - $192.30K/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 ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115.40K - $192.30K/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 ...

... machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality ...

... machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality ...

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in ...

Min Bachelor's degree in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding ...

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in ...

Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI. Desirable skills /experience: * Contributions to open-source projects. If you meet these ...

Advanced knowledge of machine learning development lifecycles, including problem framing, data ... Experience designing experiments, defining success metrics, and using offline and online evaluation ...

Advanced knowledge of machine learning development lifecycles, including problem framing, data ... Experience designing experiments, defining success metrics, and using offline and online evaluation ...

Advanced knowledge of machine learning development lifecycles, including problem framing, data ... Experience designing experiments, defining success metrics, and using offline and online evaluation ...

Advanced knowledge of machine learning development lifecycles, including problem framing, data ... Experience designing experiments, defining success metrics, and using offline and online evaluation ...

Lead Data Scientist

Raleigh, NC

$104.90K - $174.70K/yr

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 be working ...

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

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 be working ...

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Showing results 1-20

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 May 30, 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 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.

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 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 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 Online Machine Learning jobs in Raleigh, NC? For Online Machine Learning jobs in Raleigh, NC, the most frequently searched job titles 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:

Senior Data Scientist III

LexisNexis

Raleigh, NC • On-site

$115.40K - $192.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

147th of 424 rated business services


Job description

Job Description
Do you want to help us build further data science capabilities?
And are you eager to work on the quality of data sources serving our end-user products?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is apart of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
About the Role
As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.
Responsibilities
  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
  • Leading the development of advanced AI and machine learning models to solve complex business problems.
  • Analyzing large datasets to identify patterns and trends that can inform AI development.
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
  • Evaluating and creating new frameworks and defining methodologies and governance.
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
  • Working with product leaders to apply data science solutions.
  • Leading small- to medium-sized teams (direct or indirect).

Requirements
  • Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
  • Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
  • Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
  • Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
  • Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
  • Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
  • Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
  • Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

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 well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
  • 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.

Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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.
#AIFLuency
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.
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