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

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

Establish CI/CD standards for ML lifecycle management. * Ensure compliance with enterprise data governance and responsible AI standards. Requirements * 8-10 years of Machine Learning/Software ...

RELX

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

Establish CI/CD standards for ML lifecycle management. * Ensure compliance with enterprise data governance and responsible AI standards. Requirements * 8-10 years of Machine Learning/Software ...

WGU

Senior Machine Learning Engineer

Raleigh, NC

$157K - $243K/yr

Define NLP initiatives, roadmaps, and success metrics in collaboration with the MLE manager ... Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136K - $252K/yr

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 ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

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 ...

LexisNexis

Manager Data Science

Raleigh, NC

$115K - $192K/yr

... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

RELX

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

This role sets technical direction and ensures the team applies sound statistical and machine learning practices, while remaining grounded in real-world outcomes. The Manager is expected to stay ...

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

Machine Learning Manager information

See Raleigh, NC salary details

$49.6K

$79.4K

$114.7K

How much do machine learning manager jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning manager in Raleigh, NC is $79,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $89,900.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
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 Machine Learning Manager jobs in Raleigh, NC? For Machine Learning Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Manager jobs? Cities near Raleigh, NC with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Machine Learning Engineer Lead

Machine Learning Engineer Lead

RELX Group plc

Raleigh, NC

$115K - $192K/yr

Other

Posted 5 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 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 role combines deep ML expertise with distributed systems engineering and AI platform development.
In this role you will be a hands-on engineer and leader that will lead a high-performing team of 4-5 ML engineers, drive platform-level decisions, and ensure enterprise-grade scalability, reliability, and responsible AI compliance.
Responsibilities:
  • Lead, mentor, and grow a team of 4-5 ML engineers.
  • 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
  • 8-10 years of Machine Learning/Software Engineer experience
  • 2-3 years of people management 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: $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.
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