ZipRecruiter

Log In

1

Junior Machine Learning Engineer Jobs in Mobile, AL

HII

MGR DESIGN ENGINEERING 3

Pascagoula, MS · On-site

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

HII

MGR DESIGN ENGINEERING 3

Pascagoula, MS · On-site

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

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 ...

Innovate Mississippi

ADMIN FUNCTIONAL SUPPORT 4

Pascagoula, MS · On-site

$18.25 - $24/hr

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

New

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 ...

HII

ENGINEERING DESIGN 3

Pascagoula, MS · On-site

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

HII

ENGINEERING DESIGN 3

Pascagoula, MS · On-site

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

Thompson Engineering

Chief Technology Officer

Mobile, AL · On-site

Thompson Engineering Multi-disciplined civil/structural/environmental engineering firm established ... Define how AI and machine learning are applied responsibly across the enterprise - prioritizing ...

New

Thompson Engineering

Chief Technology Officer

Mobile, AL · On-site

Thompson Engineering Multi-disciplined civil/structural/environmental engineering firm established ... Define how AI and machine learning are applied responsibly across the enterprise - prioritizing ...

New

Thompson Engineering

Chief Technology Officer

Mobile, AL · On-site

Thompson Engineering Multi-disciplined civil/structural/environmental engineering firm established ... Define how AI and machine learning are applied responsibly across the enterprise - prioritizing ...

New

RTX

Manufacturing Engineer II (Onsite)

Foley, AL · On-site

$68K - $131K/yr

Responsible for learning the fundamentals necessary to optimize the performance of a wide range of ... Participates in the design and arrangement of machines and tooling and sequence of operations and ...

RTX

Manufacturing Engineer II (Onsite)

Foley, AL

$131K/yr

Responsible for learning the fundamentals necessary to optimize the performance of a wide range of ... Participates in the design and arrangement of machines and tooling and sequence of operations and ...

previous page

Showing results 41-60

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

Junior Machine Learning Engineer information

See Mobile, AL salary details

$33.2K

$71.2K

$108.7K

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

As of Aug 6, 2026, the average yearly pay for junior machine learning engineer in Mobile, AL is $71,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $79,400.00 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 Mobile, AL? The most popular types of Machine Learning Engineer jobs in Mobile, AL are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Mobile, AL? For Junior Machine Learning Engineer jobs in Mobile, AL, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Mobile, AL look for? The top searched job categories for Junior Machine Learning Engineer jobs in Mobile, AL are:
What cities near Mobile, AL are hiring for Junior Machine Learning Engineer jobs? Cities near Mobile, AL 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 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 $71,248 per year, or $34.3 per hour.

AI Solutions Developer

Continental Aerospace Technologies Inc

Mobile, AL

Full-time

Re-posted 14 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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply