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Ml Engineer Jobs in Alabama (NOW HIRING)

AI / ML Engineer

Huntsville, AL ยท On-site

$100 - $125/hr

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense ...

DEPLOY's Client's Cyber Works and Digital Engineering teams in Huntsville, Alabama design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation ...

Senior AI/ML Engineer

Huntsville, AL ยท On-site

$103K - $141K/yr

Senior AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence Employment Type: Full-Time Join a Growing Team at Weeghman & BriggsWeeghman & Briggs is seeking a ...

New

Senior AI/ML Engineer

Huntsville, AL ยท On-site

$103K - $141K/yr

Senior AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence Employment Type: Full-Time Join a Growing Team at Weeghman & Briggs Weeghman & Briggs is seeking a ...

New

Mid AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence Employment Type: Full-Time Join a Growing Team at Weeghman & BriggsWeeghman & Briggs is seeking a ...

New

Senior AI/ML Engineer

Huntsville, AL

$103K - $141K/yr

Senior AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence Employment Type: Full-Time Join a Growing Team at Weeghman & Briggs Weeghman & Briggs is seeking a ...

New

The AI/ML Engineer - Supply Chain & Logistics will support a Department of Defense client. The responsibilities include: * Design and implement advanced machine learning models for logistics ...

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense ...

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense ...

The AI/ML Engineer - Supply Chain & Logistics will support a Department of Defense client. The responsibilities include: * Design and implement advanced machine learning models for logistics ...

Mid AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence Employment Type: Full-Time Join a Growing Team at Weeghman & Briggs Weeghman & Briggs is seeking a ...

New

The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze Help Desk ...

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Showing results 1-20

Ml Engineer information

See Alabama salary details

$29.9K

$80.8K

$128.7K

How much do ml engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ml engineer in Alabama is $80,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $98,800.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are the most commonly searched types of Ml Engineer jobs in Alabama?

The most popular types of Ml Engineer jobs in Alabama are:

What cities in Alabama are hiring for Ml Engineer jobs?

Cities in Alabama with the most Ml Engineer job openings:

Infographic showing various Ml Engineer job openings in Alabama as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $80,835 per year, or $38.9 per hour.

AI / ML Engineer

DESE Research, Inc.

Huntsville, AL โ€ข On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs.


This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.


Core Responsibilities

  • Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.

  • Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.

  • Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.

  • Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).

  • Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.

  • Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.

  • Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.


Minimum Requirements

  • Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).

  • Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.

  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Proficiency in Python and at least one additional language (Java, C++).

  • Strong understanding of data structures, data modeling, and software architecture.


Highlighted Skills & Experience

  • Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.

  • Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.

  • AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.

  • Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.

  • Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).

  • Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).

  • Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.

  • Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.


Why This Role Matters

You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.


About DESE

For the past 43 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DESE provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.


Why employees love working for DESE

At DESE, we are committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:



  • Competitive health, dental and vision insurance with affordable premiums

  • Flexible work schedules

  • Two different flexible spending account options

  • Company paid life insurance with options for employee paid additional

  • Performance bonus program

  • Education reimbursement program

  • Company paid personal leave for approved philanthropic activities

  • Vacation, Sick & Holiday leave

  • Robust 401k profit sharing plan

  • Opportunities for internal promotions

  • Employee referral incentive program

  • Rewards and gifts for service anniversaries


Disability Accommodation for Applicants - DESE Research, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment with us: hrandsecurity@dese.com or 256-837-8004x123.

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