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Senior Machine Learning Engineer Jobs in Raleigh, NC

ExtendMyTeam

Machine Learning Engineer

Cary, NC

Position Summary We are seeking a Machine Learning Engineer to help design, deploy, and support production machine learning systems within a collaborative engineering organization. This individual ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our fraud products. You'll work closely with data scientists and engineers to bring models into ...

Q2

Machine Learning Engineer

Cary, NC

As a Machine Learning Engineer, you will help build and operate production systems that power our fraud products. You'll work closely with data scientists and engineers to bring models into ...

Apple

AIML - Staff Machine Learning Engineer

Cary, NC · On-site

The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff ... engineering, machine learning, privacy preserving system design, and more. You will be a hands on ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115.40K - $192.30K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

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Senior Machine Learning Engineer information

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$57.8K

$123K

$178.4K

How much do senior machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior machine learning engineer in Raleigh, NC is $123,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $139,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Raleigh, NC? For Senior Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Senior Machine Learning Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Machine Learning Engineer jobs? Cities near Raleigh, NC with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Western Governors University

Raleigh, NC • On-site

$157K - $243.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Western Governors University rating

8.6

Company rating: 8.6 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Grade: Technical 411
Pay Range: $157,000.00 - $243,400.00
Job Description
The Senior ML Engineer builds and deploys state-of-the-art NLP/LLM models at scale in a cloud environment, with a focus on improving student learning experiences. You lead by example, mentor junior engineers, and collaborate across cross-functional teams. You actively research the latest NLP/LLM techniques and translate them into practical, scalable solutions for the education domain. You communicate clearly with leadership and peers, influence product directions, and drive innovation that challenges the status quo.
Key Responsibilities
  • Strategic leadership

  • Define NLP initiatives, roadmaps, and success metrics in collaboration with the MLE manager.

  • Champion best practices in ML, data governance, and security within the team and across the organization.

  • Mentor junior engineers and serve as a technical lead on complex ML projects.

  • Model research, development, and deployment

  • Research and prototype state-of-the-art NLP/LLM techniques; evaluate and select approaches suitable for production.

  • Develop, train, fine-tune, and optimize production-grade NLP/LLM models.

  • Deploy models to production with emphasis on performance, scalability, reliability, and observability.

  • Data, pipelines, and collaboration

  • Partner with Data Engineering to build robust data processing pipelines and high-quality training/inference data.

  • Work with MLOps to ensure scalable, reproducible deployment, monitoring, and model governance.

  • Collaborate with Software, Infrastructure, and Security teams to integrate ML solutions into the university ecosystem.

  • Product impact and stakeholder engagement

  • Translate business requirements into NLP capabilities; collaborate with product stakeholders to validate outcomes.

  • Apply NLP insights to unstructured data sources (e.g., transcripts, emails, mentor notes) to inform learning experiences.

  • Continuous improvement and learning

  • Stay current with NLP/LLM, DL, and AI trends; proactively apply innovations to use cases.

  • Contribute to standards, guidelines, and documentation for ML practices.

  • Communicate status, risks, and progress to leadership and cross-functional teams.

Minimum Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning, Mathematics, Physics, or a related field; or equivalent relevant experience.

  • 5+ years of software development in a cloud environment.

  • 3+ years building large-scale ML/DL models, from POC to production.

  • Hands-on experience with one or more DL frameworks (e.g., PyTorch, TensorFlow).

  • Experience with cloud data platforms (AWS, Azure, GCP) and data/ML tooling (e.g., Databricks, MLFlow, Streamlit).

  • Proficiency in ETL, feature engineering, data visualization.

  • Experience operating high-availability, fault-tolerant, scalable distributed systems with GitOps practices (Terraform preferred).

  • Familiarity with stream processing (ksqlDB, Spark Streaming, Beam/Flink) and modern ML deployment patterns.

  • Strong programming skills in Python, Java/Scala, and/or Go; fluency in clean, maintainable code.

  • Excellent analytical, critical thinking, and problem-solving abilities.

  • Effective written and verbal communication; comfortable explaining technical concepts to non-experts and senior leadership.

  • Ability to thrive in a fast-paced, collaborative environment.

  • Experience guiding junior engineers and providing technical leadership.

Preferred Qualifications
  • PhD in a related field.

  • Experience with Databricks and a broad range of ML tooling.

Equivalents and Substitutions
  • Equivalent relevant experience may substitute for degree requirements (1 year of experience per year of education at the discretion of the Hiring Manager).

#LI-GB1
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.
How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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