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

LexisNexis

Senior Machine Learning Engineer III

Raleigh, NC · Hybrid

$118K - $219K/yr

Are you looking to develop your Machine Learning Engineer career? Do you enjoy coaching others to achieve high standards? This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

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.

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Raleigh, NC

Machine Learning Engineer information

See Raleigh, NC salary details

$28.2K

$115.1K

$173K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Raleigh, NC is $115,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Raleigh, NC?

The most popular types of Machine Learning Engineer jobs in Raleigh, NC are:

What are popular job titles related to Machine Learning Engineer jobs in Raleigh, NC?

For Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Raleigh, NC look for?

The top searched job categories for Machine Learning Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Machine Learning Engineer jobs?

Cities near Raleigh, NC with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $115,100 per year, or $55.3 per hour.

Sr Machine Learning Engineer[Remote]

SmartIPlace

Raleigh, NC • On-site

$80/hr

Contractor

Re-posted 19 days ago

Job description

Title: Sr Machine Learning Engineer       

Duration: 6-12 Mos C2H (no sponsorship at conversion or future)           

Location: REMOTE EST (Raleigh hybrid preferred); EST/CST only, no MST/PST     

Rate: $80 /hr. on W2

Visa: USC, GC

Note:

Relocation to Raleigh hybrid considered above remote; Sr MLE to lead AI/ML and agentic systems architecture     

Top Requirement:

10+ yrs production ML at scale; LLM/GenAI/RAG deployment; Cloud (AWS/Azure/GCP); Kubernetes/containerization; Agentic systems & tool orchestration; MCP servers; Strong Python            

 

Preferred:

MLOps/CI/CD; Responsible AI; Multi-step reasoning agents; Low-latency inference platforms; Mentoring exp

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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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