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Manager Machine Learning Finance Jobs in Alabama

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

The ideal candidate will leverage advanced statistical analysis, machine learning, and data ... Collaborate with product managers, business analysts, and engineering teams. * Validate model ...

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

... machine learning, and AI-driven insights, and enjoy working in a consulting environment where ... Support Professional Services and Managed Services initiatives as needed, ensuring billable ...

Pwc

CTIO AI Engineering Manager

Birmingham, AL · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Pwc

CTIO - AI Engineer- Senior Manager

Birmingham, AL · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

New

Pwc

AI Engineer

Birmingham, AL

$50K - $112K/yr

... Management Information Systems, Information Technology - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

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All JobsMachine Learning Finance JobsManager Machine Learning Finance JobsManager Machine Learning Finance Jobs in Alabama

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.

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.

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 cities in Alabama are hiring for Manager Machine Learning Finance jobs?

Cities in Alabama with the most Manager Machine Learning Finance job openings:

Manager Machine Learning Finance jobs near you

SENIOR DATA SCIENIST | Python | Scala | AWS | NLP / ML with Security Clearance

Kforce Federal Solutions

Huntsville, AL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

One Round Interview / Faster Offers!
Start in 3–4 Weeks
Senior Data Scientist – TS Cleared Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours) Clearance: Active Top Secret Required Employment Type: W2 Consultant (Kforce) Benefits: Medical, Dental, Vision, 401(k), and more Apply Now! Contact Recruiter: Brenton Anderson Email: LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ Senior Data Scientist – TS Cleared
Overview Kforce is seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, machine learning, artificial intelligence, and data-driven decision-making in support of national security operations. This position will leverage large and complex datasets to develop predictive models, perform advanced statistical analysis, and build machine learning solutions that provide actionable intelligence to mission stakeholders. The ideal candidate possesses deep experience with Python, Java, Scala, AWS, Natural Language Processing (NLP), Machine Learning, and statistical model evaluation techniques. You will work alongside data engineers, software developers, cloud architects, and mission teams to deploy scalable AI/ML solutions that directly support critical federal initiatives. Key Responsibilities
Design, develop, and deploy machine learning and artificial intelligence solutions supporting mission requirements
Analyze large structured and unstructured datasets to identify trends, patterns, and operational insights
Develop predictive models and advanced analytics solutions using Python, Java, and Scala
Build and optimize Natural Language Processing (NLP) capabilities for text analytics, entity extraction, classification, and language modeling
Evaluate machine learning model performance using advanced statistical techniques and validation methodologies
Develop, test, and deploy ML models in AWS cloud environments
Collaborate with Data Engineers to support scalable data pipelines and processing frameworks
Utilize Git and GitLab for source control, version management, and CI/CD workflows
Automate model deployment and lifecycle management using modern DevOps and MLOps practices
Conduct feature engineering, model tuning, and performance optimization activities
Develop analytical visualizations and reports supporting technical and non-technical stakeholders
Document methodologies, algorithms, and model performance metrics
Support Agile development efforts and contribute to continuous improvement initiatives
Present technical findings and recommendations to program leadership and mission partners Required Qualifications
Active Top Secret Clearance
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
7+ years of experience supporting Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics initiatives
Strong proficiency with Python
Experience developing analytics or ML solutions using Java and/or Scala
Experience working within AWS cloud environments
Strong experience with Natural Language Processing (NLP) methodologies and tools
Experience applying statistical techniques to evaluate, validate, and optimize machine learning models
Experience with supervised and unsupervised machine learning algorithms
Experience utilizing Git and GitLab for source control and CI/CD processes
Experience deploying and supporting ML solutions in production environments
Strong understanding of data mining, statistical analysis, and predictive modeling
Experience working with structured and unstructured datasets
Strong problem-solving, analytical, and communication skills
Experience working within Agile development environments Preferred Qualifications
Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or related discipline
Experience supporting FBI, DoD, Intelligence Community, or national security programs
Experience with AWS AI/ML services
Experience building MLOps pipelines and automated model deployment solutions
Experience working with large-scale distributed data platforms
Experience with deep learning frameworks and advanced NLP architectures
Experience developing cloud-native analytics solutions
AWS, Machine Learning, or Data Science certifications Work Environment
Fully onsite at Redstone Arsenal – Huntsville, Alabama
Monday–Friday during standard core business hours
Secure facility requiring adherence to federal security requirements
Collaborative environment working with data scientists, cloud engineers, and software developers
Fast-paced mission-focused program supporting national security objectives Why Join Kforce? As a W2 consultant with Kforce, you'll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with investment options
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and consultant care team support
Opportunity to support high-visibility federal programs
Exposure to cutting-edge AI, cloud, and machine learning technologies
Impact This role offers the opportunity to develop and deploy advanced machine learning, AI, and NLP solutions that directly support mission-critical federal operations. Your expertise in Python, Java, Scala, AWS, statistical modeling, machine learning evaluation, Git, GitLab, and NLP will help transform complex data into actionable intelligence that drives mission success. ________________________________________________________________________________________ The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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