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Manager Machine Learning Finance Jobs in Raleigh, NC

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 ...

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 ...

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 ...

Compunnel

Machine Learning Engineer Lead

Raleigh, NC · On-site

$99K - $131K/yr

... management, deployment, monitoring, and operationalization. • Architect scalable AI platforms ... machine learning systems at scale. • Strong experience with LLMs, Generative AI, and RAG ...

Tihinsurance

Machine Learning Engineer

Morrisville, NC · On-site

Manage data updates, versioning, and integrity for deployed solutions. * Implement robust ... financial, social, and professional. Our best-in-class benefits program is designed to care for the ...

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 ...

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 ...

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 ...

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 ...

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All JobsMachine Learning Finance JobsManager Machine Learning Finance JobsManager Machine Learning Finance Jobs in Raleigh, NC

Manager Machine Learning Finance information

See Raleigh, NC salary details

$40.8K

$120.9K

$164.3K

How much do manager machine learning finance jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager machine learning finance in Raleigh, NC is $120,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $163,300.00 per year, depending on experience, location, and employer.

What does a manager of machine learning in finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

How does a manager of machine learning in finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.

What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

Can manager machine learning finance be used in finance?

A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.
Manager Machine Learning Finance jobs near you

Machine Learning Engineer

Vadum Inc

Raleigh, NC

Full-time

Re-posted 2 days ago

Job description

Description

Since 2004, Vadum has built a brand known for practical innovation that delivers solutions to customers in the competitive field of national defense research and development.


We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. 


Key Responsibilities:

  • Design, prototype, and implement machine learning algorithms using industry-standard frameworks.
  • Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms.
  • Collaborate with other ML and software engineers to produce software/data deliverables. This may include algorithm/software design documents and end user guides as well as government systems integration.
  • Participate in project scoping and scheduling; track progress of individual tasks and alert stakeholders of issues blocking or preventing completion of task.
  • May be a major contributor in determining solution concepts for project proposals.
  • Generate content for status meetings with customers as a senior technical contributor.
  • Research state-of-the-art methods to solve difficult and/or complex problems.
  • Responsibly and respectfully interact with customers and suppliers to ensure customer satisfaction and project alignment.
  • Perform other duties as assigned, within the scope of the position.

Requirements

Required Skills and Qualifications:

  • Bachelor's degree or higher in Computer Science, Computer Engineering or a related field required.
  •  5+ years of relevant work experience.
  •  Must possess a government security clearance or the ability to obtain and maintain.
  •  Experience in programming languages (Python, C/C++, MATLAB, etc.).
  •  Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.).
  •  Experience with Windows and/or Linux.
  •  Experience with some of the software tools such as Docker, Jenkins, Git, Gerrit, Hibernate, and Kubernetes is a plus.
  •  Familiarity with streaming data processing frameworks such as Kafka/Spark/Hadoop is a plus.
  •  Detail oriented and well-organized with a strong ability to prioritize, plan, and execute tasks.
  •  Highly skilled in written and verbal communications.
  •  Strong problem-solving skills and a willingness to be flexible and learn new concepts and technologies on the job.
  •  Ability to pivot quickly and seamlessly as projects and business needs dictate.
  •  Ability to work effectively and comfortably with multidisciplinary teams of engineers and support staff.
  •  Ability to perform independent research and evaluate the state-of-the-art.

Join our innovative team where continuous learning and professional growth are encouraged. We offer a collaborative work environment, competitive benefits, and opportunities to work on cutting-edge projects.

Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need assistance or an accommodation due to a disability, you may contact the HR Manager at (919) 341-8241 ext.: 180.

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