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

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

ENGINEER INDUSTRIAL 1

Pascagoula, MS · On-site

$70K - $94K/yr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

ENGINEER INDUSTRIAL 1

Pascagoula, MS

$70K - $94K/yr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

Machinist II

Mobile, AL

$21.50 - $29.50/hr

... learning courses focusing on ways to develop your employability, certifications, career path as ... CNC Programming & Editing: 25% * Read, write, and edit G-code fluently at the machine controller or ...

New

Machinist II

Mobile, AL · On-site

$21.50 - $29.50/hr

... learning courses focusing on ways to develop your employability, certifications, career path as ... CNC Programming & Editing: 25% * Read, write, and edit G-code fluently at the machine controller or ...

New

Machinist (Multiple Shifts)

Mobile, AL · On-site

$21.50 - $29.50/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 ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

Showing results 21-40

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 Aug 5, 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 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 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 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 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 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 job categories do people searching Machine Learning Engineer jobs in Mobile, AL look for? The top searched job categories for Machine Learning Engineer jobs in Mobile, AL 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:
Infographic showing various Machine Learning Engineer job openings in Mobile, AL as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,781 per year, or $61.4 per hour.

Stress Engineer II - Structural Engineering (Onsite)

Raytheon Technologies

Foley, AL • On-site

$50.25 - $69/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Date Posted:
2026-07-31
Country:
United States of America
Location:
US-AL-FOLEY-1300 ~ 1300 W Fern Ave ~ OEM BLDG
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of "U.S. Person" go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
What You Will Do:
  • Perform structural analyses using hand and computer calculations, including static and fatigue analysis of aerospace components.
  • Define, assess, and document repair designs for metallic, bonded metallic, and advanced composite aerospace structures.
  • Work with Materials Review Board (MRB) to develop standard repair instructions.
  • Analyze repair proposals and prepare formal engineering reports supporting minor and major repairs for internal and external customers, which may include obtaining authorized engineering signatures.
  • Collaborate with Operations, Quality, Manufacturing, and Engineering teams to identify and implement cost reduction opportunities across product lines and processes.
  • Support corrective action and defect reduction initiatives by identifying recurring technical issues and contributing to sustainable solutions.
  • Develop and implement processes, methods, and tools that improve efficiency throughout Engineering Production Support workflows activities.
  • Develop or improve engineering methods, tools, databases, and automated workflows that increase efficiency.
  • Apply CORE tools and continuous improvement principles to reduce process turnbacks, improve engineering performance, and support the objectives of the organization.
  • Communicate technical findings, recommendations, risks, and decisions clearly to engineering leadership, customers, and cross functional stakeholders.

Qualifications You Must Have:
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 2 years of prior relevant experience or an Advanced Degree in a related field
  • Experience performing static stress and fatigue analysis using classical methods and finite element analysis.
  • Experience with load paths, free body diagrams, load balance, and common failure modes.
  • Experience using Patran, or comparable finite element analysis tools.
  • Experience with Microsoft Office computer skills including Word, Excel, PowerPoint, & Outlook.

Qualifications We Prefer:
  • Experience preparing clear, accurate, and well-organized technical reports.
  • Ability to apply established structural analysis methods and engineering standards to solve technical problems.
  • Ability to communicate technical information effectively across Engineering, Manufacturing, Quality, leadership, and customer organizations.
  • Experience analyzing metallic or advanced composite aerospace structures.
    Experience in Stress Engineering Production Support (MRB Stress) and/or MRO environment.
  • Proficiency in programming and automation tools such as Python, Excel VBA, VB.NET, C#.NET, Visual Basic, or similar languages for developing internal engineering tools, automating repetitive tasks, and improving workflow efficiency.
  • Knowledge or practical experience in Artificial Intelligence (AI), Machine Learning, Generative AI, or AI-assisted engineering tools is an advantage, particularly in applying AI to engineering design, analysis, documentation, or process optimization.
  • Demonstrated ability to define problems, collect data, establish facts, and draw valid conclusions to address issues of complex scope.
  • Proactive, action-oriented approach to managing tasks and activities.

What We Offer:
Benefits:
Some of our competitive benefits package includes:
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
  • Tuition reimbursement program
  • Student Loan Repayment Program
  • Life insurance and disability coverage
  • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
  • Birth, adoption, parental leave benefits
  • Ovia Health, fertility, and family planning
  • Adoption Assistance
  • Autism Benefit
  • Employee Assistance Plan, including up to 10 free counseling sessions
  • Healthy You Incentives, wellness rewards program
  • Doctor on Demand, virtual doctor visits
  • Bright Horizons, child and elder care services
  • Teladoc Medical Experts, second opinion program
  • And more!

This role may be eligible for relocation.
Learn More & Apply Now!
Collins Aerospace makes modern flight possible. Of course, that wouldn't be possible without the capabilities and technologies of our organization, as well as our engineers - a highly skilled, accomplished network that spans more than 180 sites, 24 countries and 6 Strategic Business Units (SBUs).
Our industry-leading experts are setting the standards for the aerospace industry and paving the way for the future. But as new challenges present themselves, we need fresh, creative and motivated minds to overcome these hurdles, help us break barriers and achieve new levels of innovation. Do you have what it takes to join a global organization that doesn't shy away from big opportunities? If so, we invite you to join our ranks and create the next generation of aerospace technologies.
Together, we will nurture an engineering culture that values intellectual curiosity, risk takers and integrity. A place where we will challenge ourselves, our teams, and the status quo and where we will work to find a way - the right way - to achieve what others can only dream of.
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.
Apply now and be part of the team that's redefining aerospace, every day.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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