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Junior Machine Learning Engineer Jobs in Alabama

Socket.dev

Machine Learning Engineer

Huntsville, AL · On-site

$125 - $145/hr

Job Overview We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking data science team. In this role, you will leverage cutting-edge AI and machine learning ...

IGNITE

MACHINE LEARNING ENGINEER

Huntsville, AL · On-site

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...

Bespoke Labs

Machine Learning Engineer

Tuscaloosa, AL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Huntsville, AL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Birmingham, AL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Montgomery, AL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mobile, AL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Amgen SA

Sr Machine Learning Engineer

Auburn, AL · On-site

$140 - $190/hr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Alabama

Junior Machine Learning Engineer information

See Alabama salary details

$30.4K

$65.1K

$99.3K

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

As of Aug 12, 2026, the average yearly pay for junior machine learning engineer in Alabama is $65,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $72,500.00 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 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?

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.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Alabama? The most popular types of Machine Learning Engineer jobs in Alabama are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Alabama? For Junior Machine Learning Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Alabama look for? The top searched job categories for Junior Machine Learning Engineer jobs in Alabama are:
What cities in Alabama are hiring for Junior Machine Learning Engineer jobs? Cities in Alabama with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $65,078 per year, or $31.3 per hour.

Machine Learning Engineer

Socket.dev

Huntsville, AL • On-site

$125 - $145/hr

Other

Posted 5 days ago

Job description

Job Overview

We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking data science team. In this role, you will leverage cutting-edge AI and machine learning frameworks to develop, train, and deploy sophisticated models that drive impactful insights and solutions. Your expertise will help transform complex data into actionable intelligence, empowering our organization to stay at the forefront of technological advancement. This position offers an exciting opportunity to work with big data technologies, natural language processing, and cloud-based platforms, all while contributing to innovative projects that shape the future of data-driven decision-making.

Duties
  • Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools to solve real-world problems across various domains.
  • Implement unsupervised learning techniques to uncover hidden patterns and insights within large datasets.
  • Collaborate with cross-functional teams to integrate models into production environments through model deployment strategies and APIs.
  • Conduct data mining and ETL (Extract, Transform, Load) processes to prepare large-scale datasets for analysis and model training.
  • Develop scalable data pipelines utilizing Hadoop, Spark, Talend, and Bash scripting to handle big data efficiently.
  • Design and maintain databases with optimized schemas for storing linked data, ensuring high performance for analytics applications.
  • Apply natural language processing (NLP) techniques to enhance text analysis capabilities and support AI-driven language understanding projects.
  • Utilize cloud platforms like AWS for model training, deployment, and management while ensuring security and scalability.
  • Analyze complex datasets using SQL, R, SAS, and Looker to generate actionable insights for business strategies.
  • Stay current with advancements in machine learning frameworks, quantum engineering concepts, and analytics methodologies to continuously improve model accuracy and efficiency.
Experience
  • Proven experience in developing machine learning models using Python with frameworks such as TensorFlow or similar tools.
  • Strong background in big data technologies including Hadoop, Spark, and related ETL processes.
  • Hands-on experience with cloud services like AWS for scalable model training and deployment.
  • Proficiency in SQL for data querying alongside experience with database design principles.
  • Familiarity with natural language processing (NLP), AI techniques, and linked data concepts.
  • Knowledge of programming languages such as Java or C for integrating models into larger systems is a plus.
  • Experience working with analytics tools like Looker or VBA for reporting purposes.
  • Ability to perform data mining tasks effectively while managing large datasets efficiently.
  • Strong understanding of machine learning workflows from data preprocessing through model evaluation and deployment.
  • Excellent problem-solving skills combined with a proactive approach to staying updated on emerging technologies in quantum engineering, big data analytics, and machine learning frameworks. Join us if you're passionate about harnessing the power of AI to solve complex challenges! We're committed to fostering an inclusive environment where innovation thrives - empowering you to make a meaningful impact through your expertise in machine learning engineering!

Pay: $125,251.10 - $145,119.61 per year

Work Location: In person

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