ML Software Engineer Visa Sponsorship Jobs in Alabama
Alabama's ML software engineer hiring is anchored in Huntsville, where defense contractors like Leidos, Northrop Grumman, and Booz Allen Hamilton drive demand for machine learning talent. Birmingham's growing fintech and healthcare tech sectors add further opportunity. Employers across the state have sponsored H-1B visas for ML roles, particularly in aerospace, research, and enterprise software.
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Get Access To All JobsSenior Data Scientist (Level III)
GC & US Citizen only
Location: Birmingham, AL
Contract - 6 Months
Client - Southern Nuclear
Experience Level: 10–15 Years
Education: Master’s or Ph.D. Preferred (Quantitative Field)
Position Overview
We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions.
This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies.
Key Responsibilities
Advanced Data Analysis
- Analyze complex, large-scale datasets to extract actionable insights.
- Apply advanced statistical methods and machine learning techniques.
- Formulate and validate hypotheses to support business decisions.
Predictive Modeling & Machine Learning
- Develop and deploy sophisticated ML models including:
- Deep learning
- Ensemble methods
- Neural networks
- Lead algorithm development and model optimization.
- Oversee model deployment into production environments.
Feature Engineering & Data Preparation
- Lead feature engineering efforts to enhance predictive performance.
- Work closely with data engineering teams to integrate data from:
- Data lakes
- Data warehouses
- Distributed systems
Visualization & Communication
- Build compelling visualizations using:
- Tableau
- Power BI
- Python libraries (Matplotlib, Seaborn, etc.)
- Present complex analytical findings to technical and executive audiences.
Experimentation & Testing
- Design and analyze A/B tests.
- Measure and quantify business impact of changes and optimizations.
Data Governance & Ethics
- Ensure compliance with privacy laws and data protection standards.
- Promote ethical AI and responsible data practices.
Leadership & Strategy
- Mentor junior data scientists.
- Influence organizational data strategy and roadmap.
- Drive a data-driven culture across business units.
- Evaluate emerging tools and technologies for innovation opportunities.
Required Qualifications
- 10–15 years of experience in data science.
- Master’s or Ph.D. in:
- Computer Science
- Statistics
- Mathematics
- Engineering
- Related quantitative field
- Expert proficiency in:
- Python, R, or Julia
- SQL
- Strong experience with:
- Machine learning algorithms
- Big data technologies (Hadoop, Spark)
- Distributed computing frameworks
- Experience with data visualization tools (Tableau, Power BI).
- Strong leadership and communication skills.
- Demonstrated ability to drive enterprise-level analytics initiatives.
Technical Expertise
- Machine Learning & AI
- Statistical Modeling
- Feature Engineering
- A/B Testing
- Big Data Technologies
- SQL & Data Manipulation
- Model Deployment (MLOps familiarity preferred)
- Data Governance & Compliance
Core Competencies
- Strategic thinking
- Innovation mindset
- Cross-functional collaboration
- Executive-level communication
- Mentorship and leadership
- Advanced problem-solving abilities
Senior Data Scientist (Level III)
GC & US Citizen only
Location: Birmingham, AL
Contract - 6 Months
Client - Southern Nuclear
Experience Level: 10–15 Years
Education: Master’s or Ph.D. Preferred (Quantitative Field)
Position Overview
We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions.
This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies.
Key Responsibilities
Advanced Data Analysis
- Analyze complex, large-scale datasets to extract actionable insights.
- Apply advanced statistical methods and machine learning techniques.
- Formulate and validate hypotheses to support business decisions.
Predictive Modeling & Machine Learning
- Develop and deploy sophisticated ML models including:
- Deep learning
- Ensemble methods
- Neural networks
- Lead algorithm development and model optimization.
- Oversee model deployment into production environments.
Feature Engineering & Data Preparation
- Lead feature engineering efforts to enhance predictive performance.
- Work closely with data engineering teams to integrate data from:
- Data lakes
- Data warehouses
- Distributed systems
Visualization & Communication
- Build compelling visualizations using:
- Tableau
- Power BI
- Python libraries (Matplotlib, Seaborn, etc.)
- Present complex analytical findings to technical and executive audiences.
Experimentation & Testing
- Design and analyze A/B tests.
- Measure and quantify business impact of changes and optimizations.
Data Governance & Ethics
- Ensure compliance with privacy laws and data protection standards.
- Promote ethical AI and responsible data practices.
Leadership & Strategy
- Mentor junior data scientists.
- Influence organizational data strategy and roadmap.
- Drive a data-driven culture across business units.
- Evaluate emerging tools and technologies for innovation opportunities.
Required Qualifications
- 10–15 years of experience in data science.
- Master’s or Ph.D. in:
- Computer Science
- Statistics
- Mathematics
- Engineering
- Related quantitative field
- Expert proficiency in:
- Python, R, or Julia
- SQL
- Strong experience with:
- Machine learning algorithms
- Big data technologies (Hadoop, Spark)
- Distributed computing frameworks
- Experience with data visualization tools (Tableau, Power BI).
- Strong leadership and communication skills.
- Demonstrated ability to drive enterprise-level analytics initiatives.
Technical Expertise
- Machine Learning & AI
- Statistical Modeling
- Feature Engineering
- A/B Testing
- Big Data Technologies
- SQL & Data Manipulation
- Model Deployment (MLOps familiarity preferred)
- Data Governance & Compliance
Core Competencies
- Strategic thinking
- Innovation mindset
- Cross-functional collaboration
- Executive-level communication
- Mentorship and leadership
- Advanced problem-solving abilities
ML Software Engineer Job Roles in Alabama
See all 43+ ML Software Engineer Jobs in Alabama
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Search ML Software Engineer Jobs in AlabamaML Software Engineer Jobs in Alabama: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Alabama?
Huntsville-based defense and aerospace firms, including Leidos, Northrop Grumman, Booz Allen Hamilton, and SAIC, have filed H-1B Labor Condition Applications for machine learning engineering roles. In Birmingham, companies in healthcare IT and financial technology have also sponsored ML talent. Large federal contractors in Alabama tend to have established immigration processes, though sponsorship decisions depend on the specific role, project funding, and employer policy.
Which visa types are most common for ML software engineer roles in Alabama?
The H-1B is the most common visa category for ML software engineers in Alabama. These roles typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding Optional Practical Training authorization can work before an H-1B is filed. L-1B visas are relevant for ML engineers transferring intracompany from an international office of the same employer.
Which cities in Alabama have the most ML software engineer sponsorship jobs?
Huntsville leads by a significant margin, driven by its concentration of defense contractors, NASA's Marshall Space Flight Center, and a dense cluster of federal agency contractors that rely on machine learning for data analysis and autonomous systems. Birmingham is the secondary market, with ML roles emerging in healthcare technology companies and regional banks investing in AI. Mobile has a smaller but developing tech presence linked to manufacturing and logistics automation.
How to find ml software engineer visa sponsorship jobs in Alabama?
Migrate Mate filters job listings specifically for visa sponsorship availability, making it easier to identify ML software engineer openings in Alabama without sorting through employers who won't sponsor. You can browse by state and role to surface positions from defense contractors in Huntsville, healthcare tech firms in Birmingham, and other Alabama-based employers. Using a sponsorship-focused platform saves significant time compared to manually checking individual company career pages.
Are there any state-specific considerations for ML software engineers seeking sponsorship in Alabama?
Alabama's ML job market is heavily shaped by federal contracting, which introduces a relevant consideration: many positions require security clearances. Clearance eligibility is generally limited to U.S. citizens and lawful permanent residents, meaning visa-sponsored candidates may find a portion of Huntsville's ML roles inaccessible. Focusing on commercial-sector employers, university research labs at UAB or Auburn, and contractors advertising unclassified projects broadens the pool of sponsorship-eligible positions.
What is the prevailing wage for sponsored ml software engineer jobs in Alabama?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.