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Machine Learning Engineer Jobs in Montgomery, AL

DataAnnotation

QA Engineer - AI Trainer

Montgomery, AL · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Varsity Tutors

Data Science Tutor

Montgomery, AL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Meta

Critical Facility Engineer

Montgomery, AL

$104K/yr

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Varsity Tutors

Python Tutor

Montgomery, AL · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Machine Learning Engineer information

See Montgomery, AL salary details

$31.2K

$127.4K

$191.4K

How much do machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning engineer in Montgomery, AL is $127,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,300.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Montgomery, AL? The most popular types of Machine Learning Engineer jobs in Montgomery, AL are:
What job categories do people searching Machine Learning Engineer jobs in Montgomery, AL look for? The top searched job categories for Machine Learning Engineer jobs in Montgomery, AL are:
What cities near Montgomery, AL are hiring for Machine Learning Engineer jobs? Cities near Montgomery, AL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Montgomery, AL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,380 per year, or $61.2 per hour.
AI/ML Engineer / Data Scientist

AI/ML Engineer / Data Scientist

American Operations Corporation

Montgomery, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Supports AI/ML-enabled analytics, predictive maintenance analysis, anomaly detection, operational trend analysis, and data-driven modernization initiatives across the BMx FoS. This role evaluates and develops AI/ML use cases aligned to Government priorities while ensuring all AI/ML activities remain operationally safe, technically supportable, and compliant with Government governance requirements.

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 trends, defect patterns, maintenance workflows, operational reporting anomalies, and modernization candidates. This role may support predictive analytics, automated test generation, operational dashboard enhancement, workload forecasting, and maintenance trend analysis.

Within BMx, AI/ML activities are governed carefully to ensure operational mission support, cybersecurity controls, and Government data rights requirements remain protected throughout AI/ML experimentation and implementation.

Requirements

Must possess DoD Secret Clearance.

Technical Skills

· Python

· Machine learning

· NLP

· Data analytics

· Predictive modeling

· AI/ML governance

Certifications

Preferred:

· AI/ML certifications

· Cloud AI certifications

Experience

· 5+ years AI/ML or data analytics experience.

· Experience supporting enterprise operational analytics preferred.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability