Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Quick apply
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Ignite is currently seeking a driven, detail-oriented Machine Learning Engineer to join our team ... Monitor model performance post-deployment including managing model drift, rollback, and failure ...
Ignite is currently seeking a driven, detail-oriented Machine Learning Engineer to join our team ... Monitor model performance post-deployment including managing model drift, rollback, and failure ...
Machine Learning Engineer TS/SCI Status: Full-Time Location: Huntsville, Alabama Position Overview ... Database Management
Machine Learning Engineer TS/SCI Status: Full-Time Location: Huntsville, Alabama Position Overview ... Database Management
Machine Learning Engineer TS/SCI Status: Full-Time Location: Huntsville, Alabama Position Overview ... Database Management
Quick apply
Machine Learning Engineer TS/SCI Status: Full-Time Location: Huntsville, Alabama Position Overview ... Database Management
Position Overview Our client is seeking - experienced Machine Learning Engineer to support advanced ... Database Management
Quick apply
Position Overview Our client is seeking - experienced Machine Learning Engineer to support advanced ... Database Management
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... Manage transition from prototype to production, including deployment pipelines and monitoring ...
MACHINE LEARNING ENGINEER
Huntsville, AL · On-site
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 ...
MACHINE LEARNING ENGINEER
Huntsville, AL · On-site
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 ...
Mid-level Machine Learning Engineer
$135K - $150K/yr
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
Quick apply
Mid-level Machine Learning Engineer
$135K - $150K/yr
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS ... Manage the transition from prototype to production, including setting up model deployment pipelines ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Manager Machine Learning Finance information
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 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?
| Aspect | Manager Machine Learning Finance | Data Scientist Finance |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysis | Bachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in finance | Analyzes data, develops models, supports decision-making in finance teams |
| Employer & Industry Usage | Financial institutions, hedge funds, investment firms | Financial 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.
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 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:
- Entry Level Machine Learning Engineer
- Senior Machine Learning Software Engineer
- Senior Machine Learning Engineer
- Deep Learning Engineer
- Remote Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Google Cloud Machine Learning Engineer
- Senior Machine Learning Researcher
- Machine Learning Engineer
What job categories do people searching Manager Machine Learning Finance jobs in Alabama look for? The top searched job categories for Manager Machine Learning Finance jobs in Alabama 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:
Full-time
Re-posted 13 days ago
Job description
Position Title: Machine Learning Engineer
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint’s client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
• Integrate machine learning systems into existing software architectures and enterprise platforms
• Design, build, and optimize data pipelines to support model training and inference
• Develop, test, and deploy machine learning models into production environments
• Manage transition from prototype to production, including deployment pipelines and monitoring solutions
• Monitor model performance, including handling model drift, rollback, and failure scenarios
• Conduct experiments and testing to evaluate and improve model accuracy and performance
• Write clean, maintainable, and testable code in Python and related technologies
• Collaborate with cross-functional teams to integrate ML capabilities into mission systems
• Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
• Support development in Linux and Windows environments
Required:
• Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
• Minimum 12+ years of overall experience, including 1–3 years working with machine learning frameworks
• Strong programming skills in Python
• Experience with machine learning frameworks, libraries, and data modeling techniques
• Solid understanding of the machine learning lifecycle
• Experience working with SQL and NoSQL databases
• Experience working in Linux and Windows environments
• Familiarity with CI/CD pipelines and Agile development methodologies
• Understanding of software design and system integration principles
Desired:
• Active TS/SCI with CI Polygraph (desired)
• Experience working with large-scale (petabyte-level) datasets
• Experience supporting multi-INT analytics environments
• Experience deploying, monitoring, and scaling machine learning models in production
• Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
• Experience implementing GitOps workflows
• Experience working in secure or classified environment
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint’s client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
• Integrate machine learning systems into existing software architectures and enterprise platforms
• Design, build, and optimize data pipelines to support model training and inference
• Develop, test, and deploy machine learning models into production environments
• Manage transition from prototype to production, including deployment pipelines and monitoring solutions
• Monitor model performance, including handling model drift, rollback, and failure scenarios
• Conduct experiments and testing to evaluate and improve model accuracy and performance
• Write clean, maintainable, and testable code in Python and related technologies
• Collaborate with cross-functional teams to integrate ML capabilities into mission systems
• Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
• Support development in Linux and Windows environments
Required:
• Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
• Minimum 12+ years of overall experience, including 1–3 years working with machine learning frameworks
• Strong programming skills in Python
• Experience with machine learning frameworks, libraries, and data modeling techniques
• Solid understanding of the machine learning lifecycle
• Experience working with SQL and NoSQL databases
• Experience working in Linux and Windows environments
• Familiarity with CI/CD pipelines and Agile development methodologies
• Understanding of software design and system integration principles
Desired:
• Active TS/SCI with CI Polygraph (desired)
• Experience working with large-scale (petabyte-level) datasets
• Experience supporting multi-INT analytics environments
• Experience deploying, monitoring, and scaling machine learning models in production
• Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
• Experience implementing GitOps workflows
• Experience working in secure or classified environment