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

ExtendMyTeam

Machine Learning Engineer

Cary, NC

The Risk & Fraud team helps customers take a proactive stance against fraud while managing the ... As a Machine Learning Engineer, you will help build and operate production systems that power fraud ...

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 ... If you need assistance or an accommodation due to a disability, you may contact the HR Manager at ...

Vadum

Machine Learning Engineer

Raleigh, NC

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... If you need assistance or an accommodation due to a disability, you may contact the HR Manager at ...

Q2

Machine Learning Engineer

Cary, NC · On-site

... fraud while managing the risks inherent to their business. We build and enhance products that ... As a Machine Learning Engineer, you will help build and operate production systems that power our ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$71K - $96K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience managing GPU workloads and distributed training systems * Experience with cloud ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience managing GPU workloads and distributed training systems * Experience with cloud ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of ... Manage and mentor a team of engineers, fostering technical growth and collaboration. * Plan and ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience managing GPU workloads and distributed training systems * Experience with cloud ...

Qualcomm

Machine Learning Compiler

Raleigh, NC

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of ... Manage and mentor a team of engineers, fostering technical growth and collaboration. * Plan and ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

Job Summary : Qualcomm Technologies, Inc. is focused on advancing machine learning compiler ... The role involves leading a team to innovate ML compiler optimization algorithms and managing ...

RELX Group plc

Machine Learning Engineer Lead

Raleigh, NC · On-site

$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 ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$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 ...

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$49.6K

$79.4K

$114.7K

How much do machine learning manager jobs pay per year?

As of Jun 18, 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

ExtendMyTeam

Cary, NC

Other

Posted 1 hour ago

Job description

The Risk & Fraud team helps customers take a proactive stance against fraud while managing the risks inherent to their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value to customers. Our solutions allow financial institutions to focus more of their time and energy on serving their customers and communities.

As a Machine Learning Engineer, you will help build and operate production systems that power fraud detection and risk-related products. You’ll work closely with data scientists and engineers to bring models into production, ensuring they are reliable, scalable, and maintainable.

You’ll gain hands-on experience working across model development, evaluation, deployment, monitoring, and ongoing improvements. This is an applied engineering role — the software you build will solve real-world problems and must be production-ready, reliable, and testable.

A Typical Day

Your Key Responsibilities

  • Build and maintain systems and pipelines that support training, evaluation, and inference for machine learning models

  • Contribute to deploying machine learning models into production environments and ensuring they run reliably at scale

  • Write clean, maintainable, and well-tested code following production engineering best practices

  • Support monitoring and troubleshooting production ML systems, including data pipelines and model performance

  • Collaborate with data scientists and engineers to productionalize models and integrate them into scalable applications

  • Help improve the reliability, scalability, and performance of ML systems over time

  • Contribute to improving tooling and infrastructure that supports the ML development lifecycle

You Are More Likely to Excel If You:

  • Enjoy autonomy in your work and take ownership of team goals while balancing speed with long-term impact

  • Have empathy for end users and measure success through both customer value and technical quality

  • Are enthusiastic about machine learning, engineering excellence, and continuous professional development

Bring Your Passion, Do What You Love. Here’s What We’re Looking For

Must-Haves

  • Bachelor’s degree in a relevant field with 2+ years of related experience, or equivalent practical experience

  • Proficiency in Python

  • Experience writing clean, maintainable code and using version control tools such as Git

  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

Nice to Have

  • Experience building end-to-end ML systems, including data pipelines, model training, deployment, and monitoring

  • Experience deploying or integrating machine learning models into applications

  • Experience building APIs, backend services, or working with distributed systems

  • Familiarity with cloud platforms such as AWS, GCP, or Azure

  • Exposure to MLOps concepts such as CI/CD and model monitoring

  • Experience working with large datasets or data processing frameworks

  • Experience with additional programming languages such as TypeScript

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