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Senior Machine Learning Engineer Jobs in Madison, AL

Our team provides superior research, development, and engineering services to the Federal ... Design, develop, and deploy machine learning models to support mission-critical objectives.

AI/ML Engineer

Huntsville, AL · On-site

$120 - $170/hr

Our team provides superior research, development, and engineering services to the Federal ... Design, develop, and deploy machine learning models to support mission-critical objectives.Analyze ...

Senior Software Engineer

Huntsville, AL · On-site

$121K - $160K/yr

... machine learning, augmented and virtual reality, big data analytics, and more! We are excited to ... Senior Software Engineer Job Location: Huntsville, AL We are seeking a highly skilled Senior ...

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Bachelor's degree in Computer Science, Engineering, or a related field. * Familiarity with event ...

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Bachelor's degree in Computer Science, Engineering, or a related field. * Familiarity with event ...

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Bachelor's degree in Computer Science, Engineering, or a related field. * Familiarity with event ...

Showing results 41-60

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 Aug 22, 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 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 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 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 job categories do people searching Senior Machine Learning Engineer jobs in Madison, AL look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Madison, AL 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:

Infographic showing various Senior Machine Learning Engineer job openings in Madison, AL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $113,392 per year, or $54.5 per hour.

ML / NLP DATA SCIENTIST with Security Clearance

Kforce Federal Solutions

Huntsville, AL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Senior Data Scientist – TS Cleared Note: This role would require relocation if not local to Huntsville, Alabama 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 Contact Recruiter Directly: Brenton Anderson 📧 🔗 https://www.linkedin.com/in/myitrecruiterbrenton/ Overview We are seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, artificial intelligence, machine learning, and operational intelligence supporting national security initiatives. This is a highly visible role responsible for developing and deploying advanced analytical models that transform large, complex datasets into actionable intelligence. The ideal candidate will possess deep expertise in Machine Learning (ML), Natural Language Processing (NLP), statistical modeling, and cloud-based data science solutions, with the ability to deliver mission-impacting insights in secure environments. You will work alongside elite engineering, data, and mission teams to design and implement AI/ML capabilities that support decision advantage, operational effectiveness, and enterprise-scale analytics initiatives. Key Responsibilities
Design, develop, and deploy advanced machine learning models supporting mission-critical objectives
Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data
Build predictive and prescriptive analytics solutions using large, complex datasets
Research, evaluate, and implement AI/ML algorithms to solve complex operational challenges
Develop and optimize data science workflows using Python, Java, or Scala
Leverage AWS cloud services to support scalable machine learning and analytics environments
Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions
Support MLOps and CI/CD processes utilizing Git and GitLab environments
Create visualizations, reports, and presentations that communicate analytical findings to technical and non-technical stakeholders
Ensure models meet performance, reliability, explainability, and security requirements within a cleared environment
Stay current on emerging technologies and industry best practices in AI, machine learning, and data science Required Qualifications
Active Top Secret clearance Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Extensive experience developing and deploying Machine Learning models in production environments
Strong experience with Natural Language Processing (NLP), text analytics, and language modeling techniques
Strong programming experience with Python, Java, or Scala
Experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Spark ML, or similar technologies
Experience utilizing AWS cloud services for analytics, data science, or machine learning workloads
Experience working with Git or GitLab in CI/CD environments
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience working with large, complex datasets in secure or regulated environments
Ability to operate independently at a Senior or SME level and drive solutions from concept through deployment Preferred Qualifications
Master's Degree or PhD in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related field Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI governance frameworks
Experience with distributed data processing platforms and cloud-native architectures
Familiarity with MLOps pipelines and model deployment frameworks
Prior experience supporting federal, defense, intelligence, or national security programs Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams 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 options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs
Impact This role provides the opportunity to develop cutting-edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your expertise will help transform complex data into actionable intelligence that drives operational success and strategic advantage. Apply Today Join a team where your expertise in Machine Learning, Natural Language Processing, Artificial Intelligence, and Advanced Analytics directly contributes to 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. Brenton Anderson Technical Recruiter Kforce Government Solutions