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Senior Machine Learning Engineer Jobs in Madison, AL

Indeed

Machine Learning Engineer

Huntsville, AL

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... senior guidance * Excellent understanding of model evaluation techniques, feature engineering ...

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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 ...

Indeed

Machine Learning Engineer III

Huntsville, AL

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

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Senior Machine Learning Engineer information

See Madison, AL salary details

$53.3K

$113.4K

$164.4K

How much do senior machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for senior machine learning engineer in Madison, AL is $113,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $128,600.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Madison, AL? For Senior Machine Learning Engineer jobs in Madison, AL, the most frequently searched job titles are:
What cities near Madison, AL are hiring for Senior Machine Learning Engineer jobs? Cities near Madison, AL with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Abode Techzone LLC

Huntsville, AL

Other

Posted 22 days ago

Job description

Machine Learning Engineer

Job Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville, AL Mandatory: Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding

About the Role A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept through full-scale production deployment. The role focuses on large-scale data processing, machine learning deployment, and enterprise system integration for mission-critical initiatives. This position requires working onsite during the first 6 months to support onboarding, team integration, and project ramp-up. After the initial 6-month period, the role transitions to a hybrid schedule.

Key Responsibilities

  • Design, build, and integrate machine learning solutions into broader software systems and infrastructure
  • Conduct testing, experimentation, validation, and performance documentation
  • Write clean, scalable, and maintainable Python code
  • Collaborate with engineering teams to ensure machine learning solutions align with system architecture
  • Develop and optimize data pipelines that support machine learning workflows
  • Convert machine learning prototypes into scalable, production-ready applications
  • Create deployment pipelines for machine learning models
  • Monitor model performance and resolve issues related to drift, failures, and rollback scenarios
  • Support CI/CD workflows and GitOps practices
  • Work across secure Linux and Windows environments

Technology Environment

  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL Databases
  • Linux
  • Windows

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 Python programming experience
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience working with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Strong understanding of software design principles and system integration

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 supporting 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
Abode TechZone logo

About Abode TechZone

Sourced by ZipRecruiter

Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2019

Social media

Facebook

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