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Machine Learning Engineer Jobs in Mobile, AL (NOW HIRING)

Kimberly-Clark

Senior Engineer Electrical

Mobile, AL · On-site

$106K - $138K/yr

... skill to drive learning as well as strategy for future projects/initiatives. * Prepare and ... TM - Stock Prep, wastewater, Chemical handling, Utilities, and Tissue machine operations.

Kimberlyclark

Senior Engineer Electrical

Mobile, AL

$106K - $138K/yr

... skill to drive learning as well as strategy for future projects/initiatives. * Prepare and ... TM - Stock Prep, wastewater, Chemical handling, Utilities, and Tissue machine operations.

Kimberly-Clark

Senior Engineer Electrical

Mobile, AL

$106K - $138K/yr

... skill to drive learning as well as strategy for future projects/initiatives. * Prepare and ... TM - Stock Prep, wastewater, Chemical handling, Utilities, and Tissue machine operations.

Ag

M&P Engineer

Mobile, AL

Our Engineers have the privilege of working on complex, highly engineered machines and are involved ... learning courses focusing on ways to develop your employability, certifications, career path as ...

Continental

AI Solutions Developer

AL · On-site

AI Solutions Developer About Continental: Continental Aerospace Technologies™ has been a leader ... Familiarity with Python-based machine learning, applied AI development, or data analysis is a plus ...

American Cruise Lines

Engineer - Licensed

Mobile, AL · On-site

Engineers provide 24-hour response to machinery and system issues and oversee the operation, maintenance, and troubleshooting of all vessel equipment, including pumps, motors, engines, electrical and ...

Ag

Senior Cabin Stress Engineer

Mobile, AL

$58.25 - $80/hr

Our Engineers have the privilege of working on complex, highly engineered machines and are involved ... learning courses focusing on ways to develop your employability, certifications, career path as ...

Ag

Machinist (2nd or 3rd Shift)

Mobile, AL

$19.75 - $26.25/hr

... learning courses focusing on ways to develop your employability, certifications, career path as ... milling machine and manual experience programming using Catia or better. * Ability to read and ...

Ag

Certification Engineer

Mobile, AL · On-site

Our Engineers have the privilege of working on complex, highly engineered machines and are involved ... learning courses focusing on ways to develop your employability, certifications, career path as ...

Dreamscape Hospitality

PM Engineer

Mobile, AL

Description Engineer Department: Property Operations and Maintenance Reports To: Director of ... Perform preventative maintenance for ice machines, refrigerators, kitchen equipment, laundry ...

Dreamscape Hospitality

PM Engineer

Mobile, AL · On-site

Director of Engineering/ Chief Engineer FLSA: Non-Exempt Job Summary The Engineer is responsible ... Perform preventative maintenance for ice machines, refrigerators, kitchen equipment, laundry ...

Dreamscape Hosptality

PM Engineer

Mobile, AL · On-site

Description: Engineer Department: Property Operations and Maintenance Reports To: Director of ... Perform preventative maintenance for ice machines, refrigerators, kitchen equipment, laundry ...

Ag

STC Electrical Systems Engineer III

Mobile, AL

Our Engineers have the privilege of working on complex, highly engineered machines and are involved ... learning courses focusing on ways to develop your employability, certifications, career path as ...

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Showing results 1-20

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

Machine Learning Engineer information

See Mobile, AL salary details

$31.3K

$127.8K

$192K

How much do machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning engineer in Mobile, AL is $127,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $153,800.00 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 Mobile, AL? The most popular types of Machine Learning Engineer jobs in Mobile, AL are:
What are popular job titles related to Machine Learning Engineer jobs in Mobile, AL? For Machine Learning Engineer jobs in Mobile, AL, the most frequently searched job titles are:
What cities near Mobile, AL are hiring for Machine Learning Engineer jobs? Cities near Mobile, AL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Mobile, AL as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,781 per year, or $61.4 per hour.
AI Solutions Developer

AI Solutions Developer

Continental Aerospace Technologies Inc

Mobile, AL

Full-time

Posted 21 days ago

Job description

AI Solutions Developer

About Continental:

Continental Aerospace Technologies™ has been a leader in aviation innovation for more than 120 years, continually pushing the limits of general aviation and shaping the evolution of aircraft performance and reliability. Today, we are a global force with a full range of gasoline and Jet‑A engines, across three continents. Built on a legacy of engineering excellence, technological advancement, and a strong commitment to safety, Continental continues to deliver industry‑leading engine solutions while opening the door to exciting careers for those who want to help shape the future of flight.
At Continental, you’re not just joining an industry leading aviation company—you’re joining a team that truly loves what we do. Our T.E.A.M. values—Transparency, Efficiency, Accountability, and Morality—which guide how we work, collaborate, and support one another. We’re proud to foster an environment where every voice matters, every idea is valued, and every employee has room to grow. If you’re driven by progress and passionate about shaping the future, Continental Aerospace Technologies™ offers a career path that lets you grow and make a difference.

Position Summary:
  • Continental Aerospace Technologies is seeking an AI Solutions Developer to accelerate the automation of business processes using AI technologies within the Microsoft ecosystem, including Power Platform, Copilot, Azure AI, and Microsoft 365. This role will help expand delivery capacity, reduce manual effort, improve turnaround time and solution quality, and scale secure, maintainable AI-driven workflows across the organization.
  • The AI Solutions Developer will work cross-functionally with business stakeholders to identify automation opportunities, design practical AI-enabled solutions, and implement governed workflows that improve decision support, operational efficiency, and business process execution.
Key Responsibilities:
  • Design, build, and maintain AI-driven workflow automation solutions using Microsoft Power Platform, Copilot, Azure AI, and Microsoft 365.
  • Partner with business teams to identify, evaluate, and prioritize opportunities for AI-enabled process improvement.
  • Develop secure, scalable, and maintainable automation solutions that reduce manual effort and improve business turnaround time.
  • Integrate Microsoft 365, Azure AI, and Power Platform capabilities to support process improvement and decision support.
  • Translate business requirements into technical solution designs, prototypes, and production-ready workflows.
  • Collaborate with stakeholders to test, validate, and refine AI solutions for usability, reliability, and business value.
  • Apply governance, security, and maintainability principles when designing AI-powered workflows and integrations.
  • Document solution architecture, workflow logic, user guidance, and support procedures.
  • Monitor implemented solutions for effectiveness, adoption, and opportunities for enhancement.
  • Stay current with Microsoft AI, Copilot, Power Platform, and Azure AI capabilities and recommend practical applications for the organization.
Required Qualifications:
  • Experience designing or developing workflow automation, business applications, or AI-enabled productivity solutions.
  • Working knowledge of Microsoft Power Platform, such as Power Automate, Power Apps, Power BI, or Dataverse.
  • Familiarity with Microsoft 365 tools and how they support business process automation.
  • Understanding of AI concepts, prompt design, agentic harnesses, MCP development, solution governance, and responsible use of AI technologies.
  • Ability to gather requirements from business users and translate them into practical technical solutions.
  • Strong analytical, problem-solving, communication, and documentation skills.
  • Ability to work collaboratively with technical and non-technical stakeholders.
Preferred Qualifications:
  • Experience with Azure services, Copilot Studio, Microsoft Graph, SharePoint, Teams, or other Microsoft 365 integrations.
  • Experience building automated approval flows, reporting workflows, document processing solutions, or AI-assisted business processes.
  • Experience integrating AI-enabled workflows with enterprise systems, financial systems, databases, APIs, and other business applications.
  • Working knowledge of SQL for data access, reporting, workflow automation, and business process integration.
  • Familiarity with API design, REST-based integrations, and connecting applications or services across enterprise platforms.
  • Experience with Microsoft-stack development (Microsoft 365 Agents SDK) is preferred, particularly for custom applications, integrations, or extensions beyond low-code/no-code solutions.
  • Familiarity with Python-based machine learning, applied AI development, or data analysis is a plus, especially where used to support automation, decision support, or process improvement.
  • Familiarity with enterprise security, data governance, role-based access, and lifecycle management for business applications.
  • Experience supporting adoption, training, or change management for new digital tools.
  • Experience in manufacturing, aerospace, engineering, business development, financial systems, or operational process improvement environments.
Knowledge, Skills, and Abilities:
  • Strong understanding of Microsoft ecosystem tools and how they can be combined to automate business processes.
  • Ability to evaluate business workflows and identify where AI, automation, integrations, or data-driven solutions can add measurable value.
  • Ability to build solutions that are maintainable, secure, scalable, and aligned with organizational governance expectations.
  • Ability to integrate AI-enabled workflows with Microsoft 365 services, enterprise systems, financial systems, SQL databases, APIs, and other business applications.
  • Working knowledge of API concepts, data flows, system integrations, and secure information exchange between platforms.
  • Ability to apply SQL, reporting, and data analysis concepts to support workflow automation, decision support, and process improvement.
  • Ability to leverage low-code/no-code tools, AI services, and, where appropriate, custom development approaches to deliver practical business solutions.
  • Strong communication skills with the ability to explain technical concepts to business stakeholders.
  • Ability to manage multiple automation opportunities from intake through delivery.
  • Attention to detail when documenting requirements, workflows, integrations, testing outcomes, and support processes.
  • Continuous improvement mindset and willingness to learn emerging AI, automation, integration, and Microsoft ecosystem capabilities.

Apply