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Machine Learning Engineer Jobs in Montgomery, AL

TechFlow, Inc.

Senior Software Architect

Montgomery, AL · On-site

$128K - $174K/yr

Demonstrated experience integrating artificial intelligence/machine learning capabilities into software solutions. * Experience using AI-assisted development tools to improve software engineering ...

New

TechFlow, Inc.

Senior Software Architect

Montgomery, AL · On-site +1

$128K - $174K/yr

Demonstrated experience integrating artificial intelligence/machine learning capabilities into software solutions. * Experience using AI-assisted development tools to improve software engineering ...

New

TechFlow, Inc.

Senior Software Architect

Montgomery, AL · Remote

$132K - $180K/yr

Demonstrated experience integrating artificial intelligence/machine learning capabilities into software solutions. * Experience using AI-assisted development tools to improve software engineering ...

New

Varsity Tutors

Python Tutor

Montgomery, AL · Remote

$18 - $40/hr

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

TechFlow, Inc.

Senior Software Architect

Montgomery, AL · On-site

$128K - $174K/yr

... machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools. * Mentor software engineers and promote adoption of modern development practices, tools, and ...

New

Varsity Tutors

Linear Algebra Tutor

Montgomery, AL · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Auto Sol Inc

Be Seen First

Senior Controls Engineer

Wetumpka, AL · On-site

$86K - $114K/yr

... hire learning. · Self-sufficient with project research and development. · Oversee control ... Machine commissioning: program start-up, debug and install of automation systems. · Responsible ...

Auto Sol Inc

Be Seen First

Senior Controls Engineer

Wetumpka, AL · On-site

$86K - $114K/yr

... hire learning. · Self-sufficient with project research and development. · Oversee control ... Machine commissioning: program start-up, debug and install of automation systems. · Responsible ...

Kershaw Equipment L.L.C.

Engineer II

Montgomery, AL · On-site

Utilizes engineering methodologies, principles, and tools to develop or improve technical products ... level machine designs. Supports production and service in implementing and maintaining products ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Montgomery, AL

Machine Learning Engineer information

See Montgomery, AL salary details

$31.1K

$127.3K

$191.3K

How much do machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning engineer in Montgomery, AL is $127,323.00, 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.

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-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants 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 AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 are popular job titles related to Machine Learning Engineer jobs in Montgomery, AL? For Machine Learning Engineer jobs in Montgomery, AL, the most frequently searched job titles 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 July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,323 per year, or $61.2 per hour.
Senior Software Architect

Senior Software Architect

TechFlow, Inc.

Montgomery, AL • On-site

$128K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

TechFlow is seeking an experienced Senior Software Architect / Lead Software Engineer to support a mission-critical DoD software development and modernization program in Montgomery, AL. This program provides software development and technical support services to sustain, enhance, and optimize a critical customer system through secure, scalable, and maintainable software solutions.

The successful candidate will lead the architectural design and development of modern software capabilities while ensuring solutions are built using nonproprietary, open-standard technologies that support scalability, maintainability, reliability, and long-term mission success. This role will provide technical leadership across the software development lifecycle, collaborating with software engineers, DevSecOps professionals, testers, database administrators, and Agile team members to deliver high-quality, secure software solutions.

Key Responsibilities

  • Lead the architectural design and technical implementation of scalable, maintainable, reliable, and secure software solutions using open-standard technologies.
  • Develop and maintain software solutions using modern Java enterprise development practices and industry-standard frameworks.
  • Design, develop, test, and maintain clean, efficient, secure source code within Government-owned Git repositories.
  • Provide technical leadership and guidance to software development teams, promoting best practices in architecture, coding standards, and secure development.
  • Participate in and conduct mandatory peer code reviews to ensure software quality, maintainability, and adherence to established standards.
  • Ensure software meets automated quality and security requirements through continuous integration, automated testing, and Static Application Security Testing (SAST).
  • Analyze and remediate software vulnerabilities, ensuring all new Blocker, Critical, and High security findings are addressed prior to task completion.
  • Identify, evaluate, and execute technical debt remediation efforts based on Government priorities.
  • Maintain and improve software quality metrics, including: minimum 90% automated test coverage for new code, overall SonarQube code quality rating of "A", inline documentation for at least 90% of individual methods using tool-compatible formats.
  • Collaborate with cybersecurity teams to ensure compliance with DoD Risk Management Framework (RMF) processes and Security Technical Implementation Guide (STIG) requirements.
  • Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools.
  • Mentor software engineers and promote adoption of modern development practices, tools, and technologies.
  • Support continuous improvement initiatives focused on software quality, performance, security, and mission effectiveness.

Requirements

  • Bachelor's degree (or equivalent experience) in Computer Science, Information Technology, Engineering or related field.
  • Minimum 7 years of experience developing Java enterprise applications.
  • Strong experience with: Java enterprise application development, Spring Boot, RESTful APIs and Microservices architectures.
  • Experience with software quality and security tools, including: SonarQube, GitLab CI/CD, Static Application Security and Testing (SAST) tools.
  • Experience developing secure software solutions within a DevSecOps environment.
  • Familiarity with Web Content Accessibility Guidelines (WCAG) 2.1 AA standards.
  • Experience supporting DoD cybersecurity requirements, including Risk Management Framework (RMF) and STIG compliance.
  • Strong understanding of software architecture, design patterns, secure coding practices, and modern development methodologies.
  • Active Secret Security Clearance.

Preferred Qualifications

  • Experience supporting DoD software modernization programs.
  • Experience with U.S. Air Force or other DoD mission applications.
  • Demonstrated experience integrating artificial intelligence/machine learning capabilities into software solutions.
  • Experience using AI-assisted development tools to improve software engineering efficiency.
  • Experience with cloud-native architectures and DevSecOps practices.
  • Experience mentoring and leading software engineering teams.
  • Familiarity with Agile software development methodologies and Scrum practices.

Benefits

Founded in 1995 at the start of the dot-com revolution, TechFlow helped large commercial clients such as DreamWorks, Toshiba, MGM, and others modernize their business systems. Today, with deep operational roots in the bi-coastal innovation hubs of California and Washington DC, TechFlow continues as a leader in applying innovative engineering, technology, integration solutions, and support services to the Federal Government's most demanding mission and business challenges.

Our culture thrives on out-of-the-box thinking and the unique powerful entrepreneurial expressions of our employee-owners. As a 100% employee-owned company, we have a shared expectation of commitment, accountability, and responsibility driven by a culture that embraces innovation and new ideas. Our goal is not to do what has been done, but to do it better.

TechFlow has four principal lines of business: Platform Services, Digital Services, Base Operations and Energy and Mobility Solutions. Our company has a strong track record of successful contracts in both areas and encourages cross-collaboration.

TechFlow, Inc is 100% employee-owned. Come make a difference in a job that contributes to your future and helps us build an agile workplace!

  • Employee stock ownership plan (ESOP) - Pride in being an employee-owner and annual employer contribution (per plan guidelines)
  • 401k plan with Roth option.
    • Eligibility for an employer match.
    • Immediate vesting
  • Paid time off
  • Holidays - 11 paid holidays per year
  • Comprehensive medical, dental, and vision plans
  • Company-paid Life & AD&D insurance plan
  • Employee Assistance Program
  • Wellness Resources
  • Company-paid training and development program
  • Voluntary benefits include:
    • Life & AD&D Insurance for employee, spouse, and children
    • Short-term and long-term disability (per plan guidelines)
    • Legal Shield and Identity Theft protection plans
    • Pet Insurance

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