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Machine Learning Engineer Jobs in Tuscaloosa, AL

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

Controls Engineering Leader

Mccalla, AL · On-site

$75K - $97K/yr

Your Opportunity as theLead Engineer "In this role, you'd serve as a key technical leader within ... Provides expertise in the design and implementation of machine control and process automation ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Engineer 1 - Power Distribution Location: Tuscaloosa, AL (must live within reasonable commute or be willing to relocate) Duration: 2 Years Client: Alabama Power About the Role We are seeking an ...

Showing results 41-60

Machine Learning Engineer information

See Tuscaloosa, AL salary details

$28.2K

$115.3K

$173.3K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Tuscaloosa, AL is $115,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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.

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.

What are the most commonly searched types of Machine Learning Engineer jobs in Tuscaloosa, AL?

The most popular types of Machine Learning Engineer jobs in Tuscaloosa, AL are:

What are popular job titles related to Machine Learning Engineer jobs in Tuscaloosa, AL?

For Machine Learning Engineer jobs in Tuscaloosa, AL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Tuscaloosa, AL look for?

The top searched job categories for Machine Learning Engineer jobs in Tuscaloosa, AL are:

What cities near Tuscaloosa, AL are hiring for Machine Learning Engineer jobs?

Cities near Tuscaloosa, AL with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Tuscaloosa, AL as of August 2026, with employment types broken down into 1% As Needed, 60% Full Time, 38% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,343 per year, or $55.5 per hour.

$75K - $97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

What You'll Be Doing

Job Scope: Generally responsible for performing all aspects for complete design of complex electrical and instrumentation engineering assignments. This level requires extensive progressive experience in electrical and instrumentation engineering and involves applying advanced engineering techniques and analysis. This work will be performed under general supervision.

Primary responsibilities will include but not be limited to:

  • Serves as primary administrator and troubleshooter for plant power and control systems and is a key member of plant technical leadership.

  • Builds and maintains a sustainable system for plant E&I skill development.

  • Coaches the area E&I Coordinator on skill assessment and development of operating and E&I technicians within the department.

  • Works with the site Controls Engineering Manager to build and maintain sustainable process and machine control onboarding and ongoing development systems for plant Process Engineers, Interns and Area Leaders.

  • Works with the site Controls Engineering Manager to develop power and control standards and ensure application of the standards in their area of responsibility.

  • Knows, communicates, and ensures technician compliance to local and national regulator codes (NFPA 70, NFPA 70e, NFPA 79 and OSHA 1910).

  • Is also responsible for ensuring equipment and safe practice compliance in their area of responsibility.

  • Responsible for validation of the MES data from PLC into Proficy.

  • Support plant PEs in conditioning PLC data to accommodate effective data analysis including application development.

  • Owns the validity and ongoing system for maintaining the site sustainability metering equipment (power monitors and usage flow meters).

  • Owns using the power monitoring data and developing plans to reduce overall consumption and costs.

  • Provides expertise in the design and implementation of machine control and process automation applications, such as: control strategies, HMI design, MES applications and KPI development.

  • Works Controls Engineering Manager, department management and technicians to identify losses, and develop plans and strategies to eliminate them, in the areas of safety, quality, reliability and cost.

  • Owns parts or whole Key Elements for systems related to power and control system such as electrical safety (LOTO, Electrical PPE, Energized work permits, low voltage qualification, etc.) and Quality/CCP compliance (checkweighers, metal detectors, vision systems, ingredient flows, temperatures, etc.).

  • Works closely with engineering and operations leaders on selection and installation/start-up of new equipment.

  • Becomes the technical expert on new equipment and ensures the training of others with regard to control systems.

  • Serves as project manager for initiatives ranging from E&I focused projects to complete capital projects.

  • Provides power and controls engineering support on capital initiatives in their area of responsibility.

  • Provides support throughout other parts of the plant as needed on a daily basis.

  • Learns and applies advance control, simulation and process modeling technologies to analyze and improve overall process and packaging operations.

Ideal Background

Education: Bachelor or Master of Science degree in Electrical Engineering from an accredited university is required.

Registration: Professional Engineering registration is highly preferred.

Experience: This position requires 4+ years of relevant industrial experience in electrical and instrumentation engineering.

Required Knowledge, Skills, and Abilities:

  • Ability to effectively engage, lead, and build capability on the floor

  • Ability to work and manage within a team environment

  • Strong knowledge of machine and/or process control hardware, instrumentation and software including Allen Bradley PLC and Rockwell FactoryTalk platforms

  • Working knowledge of NFPA and OSHA guidelines related to electrical equipment and practices

  • Understanding of technical systems and terminology

  • Experience learning and integrating new technologies

  • Experience leading the installation of equipment in food manufacturing environment

  • Demonstrated results in manufacturing maintenance utilizing maintenance systems

  • Experience with plant systems software (Proficy, Project Management, eAM, etc.)

  • Self-motivated and able to motivate others

  • Strong organizational, critical thinking, and problem-solving skills

  • Effective presentation, verbal, and written communication skills

  • Proficient in Microsoft Suite applications

  • Excellent interpersonal skills

  • Some travel may be required for plant start up

  • Willingness to work off-shifts or weekends as needed

  • Willingness to relocate for future opportunities

Physical Requirements

  • Ability to sit, stand, or walk for long periods of time.

Hargrove Culture

We work to create an environment founded on trust, personal integrity, and a "team mentality" so that each person understands the value of their contributions both on a project and company-wide level. We know that each person on our team contributes to the success of our company by pairing expertise and passion to meet and exceed the needs of the clients we serve across the globe.

Our safety culture protects and promotes the well-being of every person who works with us and every person touched by our work.

As a 100% Teammate owned company, we proudly offer a comprehensive benefits package including, paid holidays, personal paid time off, medical, dental, vision, life, and disability insurance, 401(k), and other benefits to eligible Teammates.

Equal Opportunity Employment Statement

Hargrove is an Equal Opportunity/Affirmative Action employer. We do not discriminate based upon race, color, national origin, religion, age, sex (including gender, sexual orientation, pregnancy, sexual identity, marital or family status), disability, military service or obligations, veteran status, or any other characteristic protected by law.

Hargrove is a drug-free workplace.

The selected candidate must be authorized to work in the United States.