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Entry Level Machine Learning Engineer Jobs in Birmingham, AL

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

Machine learning techniques * Data mining * Statistical analysis * Translate business requirements into technical data solutions Data Engineering & Integration Support * Work with ETL processes and ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

DATA SCIENTIST

Birmingham, AL · On-site

$85K - $139K/yr

Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

Controls Engineer I

Hueytown, AL · On-site

$74K - $96K/yr

This entry-level engineering role is ideal for candidates with a strong electrical engineering ... Machine Interfaces (HMIs) * Sensors * Pumps and motors * AC and DC systems Continuous Learning

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 ...

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 ...

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Showing results 1-20

Entry Level Machine Learning Engineer information

See Birmingham, AL salary details

$28.1K

$65K

$110.6K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for entry level machine learning engineer in Birmingham, AL is $65,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $73,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Birmingham, AL? The most popular types of Machine Learning Engineer jobs in Birmingham, AL are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Birmingham, AL? For Entry Level Machine Learning Engineer jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Birmingham, AL look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Birmingham, AL are:
What cities near Birmingham, AL are hiring for Entry Level Machine Learning Engineer jobs? Cities near Birmingham, AL with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Birmingham, AL as of June 2026, with employment types broken down into 54% Full Time, 43% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,005 per year, or $31.3 per hour.

Data Visualization Engineer I

4pconsultinginc

Birmingham, AL • On-site

$107K - $128K/yr

Contractor

Posted 9 days ago


Job description

Position: Data Visualization Engineer I

Duration: 12 Months
Location: 3535 Colonnade Parkway, Birmingham, AL 35243

Client: Southern Company Services.


Position Summary

The Data Visualization Engineer I is responsible for designing and developing data visualizations and dashboards using datasets from multiple sources. This role combines analytical thinking, technical capability, and visual storytelling to transform complex data into clear, actionable insights.

The ideal candidate has experience with modern BI tools, programming languages, and cloud data environments, and demonstrates strong analytical and problem-solving skills.


Key Responsibilities

Dashboard & Visualization Development

  • Design, develop, and maintain dashboards and interactive reports
  • Create compelling visualizations that clearly communicate trends and insights
  • Ensure data accuracy, clarity, and usability in all visual deliverables
  • Provide visual, technical, and editorial expertise for reporting content

Data Analysis & Modeling

  • Perform analytics using:
    • Predictive modeling
    • Machine learning techniques
    • Data mining
    • Statistical analysis
  • Translate business requirements into technical data solutions

Data Engineering & Integration Support

  • Work with ETL processes and data pipelines
  • Support data warehousing environments (Azure, AWS, SAP)
  • Ensure data quality and integrity across reporting systems

Collaboration & Documentation

  • Partner with data engineers, analysts, and business stakeholders
  • Document data sources, transformations, and dashboard logic
  • Maintain version control using Git

Required Qualifications

Education

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline
  • Advanced degree preferred

Technical Skills

Experience with:

  • Python
  • SQL
  • R or Java
  • pandas
  • dbt
  • Git
  • Tableau
  • Power BI
  • Microsoft Excel

Familiarity with:

  • ETL processes
  • Data pipelines
  • Data warehousing platforms (Azure, AWS, SAP)