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Manager Machine Learning Finance Jobs in Huntsville, AL

Camgian Corporation

Engineering Manager

Huntsville, AL · On-site

Camgian is looking for an Engineering Manager who can lead, mentor, and support our growing team of ... Machine Learning, Signal Processing, Data Science, SQL, with experience in development. * Project ...

Prolog Inc.

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

... Chain Management Directorate (SCMD) at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business ...

Socket.dev

Senior Data Analyst

Huntsville, AL · On-site

$90 - $130/hr

... Chain Management Directorate (SCMD) at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business ...

Prolog Inc.

Senior Data Analyst

Huntsville, AL · On-site

$105 - $145/hr

... Chain Management Directorate (SCMD) at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business ...

Nou Systems Inc

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

Proven ability to build and manage CI/CD pipelines in GitLab (or equivalent), including automated testing, MR enforcement, and runner configuration. * Familiarity with Python-based machine learning ...

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All JobsMachine Learning Finance JobsManager Machine Learning Finance JobsManager Machine Learning Finance Jobs in Huntsville, AL

Manager Machine Learning Finance information

See Huntsville, AL salary details

$41.4K

$122.5K

$166.5K

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

As of Sep 5, 2026, the average yearly pay for manager machine learning finance in Huntsville, AL is $122,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $165,500.00 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.

What are the most commonly searched types of Machine Learning Finance jobs in Huntsville, AL?

The most popular types of Machine Learning Finance jobs in Huntsville, AL are:

Manager Machine Learning Finance jobs near you

Engineering Manager

Camgian Corporation

Huntsville, AL • On-site

Full-time

Posted 15 days ago

Key responsibilities

  • Lead and manage a team of engineers, providing mentorship, guidance, and career development.

  • Oversee software or AI or data science projects to ensure timelines, quality, and performance standards are met.

  • Offer technical expertise in design, development, troubleshooting, and maintaining best practices.

Job description

Camgian is looking for an Engineering Manager who can lead, mentor, and support our growing team of engineers. In this role, you will be responsible for overseeing engineers , ensuring their work aligns with product roadmaps, development plans, and fostering a culture of excellence. We value candidates with a strong passion for people management and a good understanding of the technical landscape in software engineering or AI/ML or data science fields.  


Qualifications 

  • Experience: Minimum of 5 years in software engineering or AI or data science with at least 2 years in leadership or management role. 

  • Technical Skills: Background in one or more technologies or programming languages, such as C++, Python, GoLang, Java, JavaScript, Machine Learning, Signal Processing, Data Science, SQL, with experience in development. 

  • Project Management: Experience with Agile, Scrum, or other project management methodologies. 

  • Leadership Skills: Proven experience in mentoring and managing engineering teams, with a focus on team development, growth, and retention. 

  • Collaboration: Excellent communication skills and ability to work effectively with cross-functional teams. 

  • Education: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). Advanced degrees or certifications are a plus. 

  • US Citizenship 

Desired Skills 

  • Experience: Minimum of 5 years in leadership or management role. 

  • Technical Skills: Strong background in one of the disciplines  such as Software Engineering, Artificial Intelligence, Signal Processing, Machine Learning, Data Science, Data Engineering. 

  • Leadership Skills: Proven experience in managing a team through development, testing, and deployment of products to customers 

  • Education: Master’s degree in computer science, engineering, or a related field (or equivalent experience) 

Key Responsibilities 

  • Team Leadership: Lead and manage a team of engineers in software or AI or data science fields, providing mentorship, guidance, and career development. 

  • Project Oversight: Oversee software projects, ensure the engineers are working within program management timelines, quality processes are being followed, and performance standards are met with respect to project deliverables. 

  • Technical Guidance: Offer technical expertise in design and development, troubleshooting complex issues, and maintaining best practices. 

  • Collaboration: Work closely with cross-functional teams including Product, Program, and QA to coordinate product goals and timelines. 

  • Hiring & Retention: Participate in recruitment efforts to attract and retain top engineering talent. Foster a collaborative and positive team environment. 

  • Process Improvement: Continuously evaluate and improve development processes, tools, and practices to enhance team efficiency and quality. 

  • Performance Management: Conduct regular performance evaluations, provide constructive feedback, and implement action plans to help team members reach their full potential.


​​​​​​​Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment are necessary for success. Collaboration and cross pollination with other teams will be frequent; thus communication, openness, and willingness to share both success and failure is a must. We are a team-centric organization, there are no individuals, we win and lose together. 

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