1

Junior Machine Learning Engineer Jobs in Decatur, 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.

Senior AI Engineer

Huntsville, AL · On-site

$103K - $142K/yr

The role involves applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ... and guidance to junior engineers • Track project/product milestones and releases ensuring ...

Senior Software Engineer

Huntsville, AL · On-site

$121K - $160K/yr

... junior engineers, perform architecture, design and code reviews • Lead continuous process and ... of Machine Learning (ML) models Company : Since 2006, Camgian has created the future for defense ...

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

You will help deploy, scale, and standardize machine learning development workflows in support of ... s Engineer, you will help architect, implement, and maintain modern ML development pipelines. You ...

Senior Software Engineer

Huntsville, AL · On-site

$120K - $159K/yr

Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ... Train & mentor junior engineers, perform architecture, design and code reviews * Lead continuous ...

Senior Software Engineer

Huntsville, AL · On-site

$120K - $159K/yr

Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ... Train & mentor junior engineers, perform architecture, design and code reviews * Lead continuous ...

next page

Showing results 1-20

Junior Machine Learning Engineer information

See Decatur, AL salary details

$31.4K

$67.3K

$102.7K

How much do junior machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for junior machine learning engineer in Decatur, AL is $67,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $75,000.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What job categories do people searching Junior Machine Learning Engineer jobs in Decatur, AL look for? The top searched job categories for Junior Machine Learning Engineer jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Junior Machine Learning Engineer jobs? Cities near Decatur, AL with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Decatur, AL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,308 per year, or $32.4 per hour.
Machine Learning Ops Engineer- HSV, AL

Machine Learning Ops Engineer- HSV, AL

Davidson Technologies, Inc.

Huntsville, AL • On-site

$130K - $150K/yr

Full-time

Posted 18 days ago


Job description

Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.

Davidson is seeking a ML Ops Engineer in Huntsville, Alabama to help build and deploy a suite of ML-enabled applications for VLF transmission sites. You will work closely with a Senior Data Scientist and RF engineers to take ML models and analytical outputs and translate them into reliable, real-time, operational code suitable for high-availability systems. The environment includes cloud and edge deployments, strict uptime requirements, and integration with external data sources.

*Contingent Upon Award*

Job Responsibilities:

  • Implement and maintain production code that operationalizes ML models and decision logic
  • Translate Python-based or research-grade models into C++, C, or other system-level languages
  • Integrate ML-driven control logic into real-time transmission and monitoring systems
  • Build and maintain data ingestion pipelines, including NOAA API integrations
  • Support deployment of software across cloud and edge environments
  • Ensure software meets performance, reliability, and observability requirements
  • Collaborate closely with Data Scientists to validate model assumptions and runtime behavior
  • Implement logging, metrics, and health monitoring for ML-enabled services
  • Participate in design reviews and contribute to system architecture decisions
  • Debug and resolve issues in live or near-live environments


Job Requirements:

  • Bachelor's degree in computer science, Software Engineering, or a related field
  • 3-6 years of professional software engineering experience
  • Strong proficiency in C++ (or similar systems-level language)
  • Experience developing production, real-time, or high-availability systems
  • Working knowledge of the ML development lifecycle and how it intersects with traditional software engineering
  • Must be a U.S. citizen

Preferred Qualifications:

  • Background in systems programming, embedded systems, or infrastructure software
  • Exposure to RF systems, signal processing, or physical-domain systems (not required)
  • Exposure to predictive maintenance (e.g., CBM+)
  • Experience supporting mission-critical or regulated systems

Clearance:

  • Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance

Job Posted by ApplicantPro