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Manager Machine Learning Finance Jobs in Alabama

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...

They are seeking a detail-oriented Machine Learning Engineer to support the Missiles and Space Intelligence Center, focusing on integrating ML systems, managing model deployment, and optimizing data ...

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Manager Machine Learning Finance information

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.

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 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.

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.

What are the most commonly searched types of Machine Learning Finance jobs in Alabama? The most popular types of Machine Learning Finance jobs in Alabama are:
What are popular job titles related to Manager Machine Learning Finance jobs in Alabama? For Manager Machine Learning Finance jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Manager Machine Learning Finance jobs? Cities in Alabama with the most Manager Machine Learning Finance job openings:

Machine Learning Engineer

V-CENTRIX-US LLC

Huntsville, AL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Title: Machine Learning Engineer TS/SCI
Status: Full-Time (Hybrid set up after 6 months)
Location: Huntsville, Alabama

Ideal Candidate
ideal candidate is a senior Machine Learning Engineer with an active TS/SCI clearance, deep Python expertise, and proven experience deploying machine learning solutions into production environments. They are highly skilled in data pipeline engineering, CI/CD workflows, containerized deployments, and integrating ML systems within larger secure architectures. They thrive in mission-driven environments, balancing strong software engineering fundamentals with hands-on machine learning implementation and operational support.

Position Overview

A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This is an onsite role supporting mission-critical projects involving large-scale data processing, machine learning model deployment, and system integration.
This role is ideal for someone who thrives in highly secure environments and has experience taking machine learning solutions from concept through production deployment.

Key Responsibilities

  • Design and integrate machine learning systems with broader software platforms and infrastructure
  • Build and optimize data pipelines that support machine learning workflows
  • Transition machine learning prototypes into production-ready solutions
  • Develop deployment pipelines for machine learning models
  • Monitor model performance and address model drift, failures, and rollback scenarios
  • Conduct testing, experimentation, and documentation of model performance
  • Write clean, scalable, and maintainable code primarily in Python
  • Collaborate with technical teams to ensure machine learning solutions align with overall architecture
  • Support CI/CD workflows and GitOps practices

Technology Environment

  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL databases
  • Linux and Windows environments

Required Qualifications

  • Bachelor''s degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline
  • Minimum of 12 years of overall professional experience
  • 1-3 years of hands-on experience working with machine learning frameworks
  • Strong programming experience in Python
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Understanding of software design principles and system integration
  • Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding

Preferred Qualifications

  • Master''s degree in a related field with 12 years of experience
    OR
  • Bachelor''s degree in a related field with 17 years of experience
  • Experience working with petabyte-scale datasets
  • Background in multi-source intelligence analytics
  • Experience deploying, monitoring, and scaling machine learning models in production environments

Key Skills Required

  • Machine Learning Model Deployment
  • Python Development
  • Data Pipeline Engineering
  • CI/CD Implementation
  • Cloud/Container Technologies
  • System Integration
  • Database Management