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Ml Engineer Jobs in Alabama (NOW HIRING)

Booz Allen Hamilton

Lead AI and ML Engineer

Huntsville, AL · On-site

$112K - $257K/yr

R0242024 AI and ML Engineer, Lead The Opportunity: Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and met hods to address clients ...

Booz Allen Hamilton

AI and ML Engineer, Lead

Huntsville, AL · On-site

$112K - $257K/yr

AI and ML Engineer, Lead The Opportunity: Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business ...

1st Edge, LLC

2026-01-1E AI/ML Engineer

Huntsville, AL · On-site

Collaborate with data scientists, software engineers, and integrated product team stakeholders to integrate AI solutions * Provide reports and briefings on AI/ML model performance to government ...

1st Edge, LLC

2026-01-1E AI/ML Engineer

Huntsville, AL · On-site

$125 - $150/hr

Collaborate with data scientists, software engineers, and integrated product team stakeholders to integrate AI solutions * Provide reports and briefings on AI/ML model performance to government ...

1st Edge LLC

2026-01-1E AI/ML Engineer

Huntsville, AL · On-site

Collaborate with data scientists, software engineers, and integrated product team stakeholders to integrate AI solutions * Provide reports and briefings on AI/ML model performance to government ...

1st Edge, LLC

2026-01-1E AI/ML Engineer

Huntsville, AL · On-site

Collaborate with data scientists, software engineers, and integrated product team stakeholders to integrate AI solutions * Provide reports and briefings on AI/ML model performance to government ...

Vultus Inc

Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product teams. * Follow best practices for AI security, responsible AI, data privacy, and model governance. Primary Skills

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Showing results 21-40

All JobsMl Engineer JobsMl Engineer Jobs in Alabama

Ml Engineer information

See Alabama salary details

$29.9K

$80.8K

$128.7K

How much do ml engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ml engineer in Alabama is $80,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $98,800.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are the most commonly searched types of Ml Engineer jobs in Alabama?

The most popular types of Ml Engineer jobs in Alabama are:

What are popular job titles related to Ml Engineer jobs in Alabama?

For Ml Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Alabama look for?

The top searched job categories for Ml Engineer jobs in Alabama are:

What cities in Alabama are hiring for Ml Engineer jobs?

Cities in Alabama with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Alabama as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $80,835 per year, or $38.9 per hour.

Lead AI and ML Engineer

Booz Allen Hamilton

Huntsville, AL • On-site

$112K - $257K/yr

Other

Medical, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Design and implement AI solution architecture or strategy to address clients' business problems and needs.

  • Work on complex problems to develop innovative AI and ML solutions, ensuring compliance with organizational strategies and ethical considerations.

  • Mentor or supervise employees in technical competencies related to AI and ML.

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description

Job Number: R0242024
AI and ML Engineer, Lead
The Opportunity:
Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and met hods to address clients' business problems and needs while complying with the organization's strategies, business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies.
You Have:
  • 3+ years of experience in application development, AI / ML engineering, sof tware engineering, or data science
  • 3+ years of experience designing, developing, operationalizing, and maintaining complex sof tware or machine learning applications at enterprise scale
  • 1+ years of experience creating sof tware for retrieving, parsing, and processing structured and unstructured data to support machine learning workflows
  • 1+ years of experience building scalable data pipelines, ETL / ELT workflows, or model training and deployment pipelines
  • Experience creating solutions within a collaborative and cross-functional team environment
  • Ability to code and develop scalable solutions from scratch using languages such as Python or TypeScript
  • Ability to navigate ambiguity, problem-solve creatively, and operate with minimal supervision
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI / ML platforms
  • TS/SCI clearance
  • Bachelor's degree in Computer Science, Data Science, or Mathematics and 3+ years of experience in a professional technical work environment or 7+ years of experience in a professional technical work environment in lieu of a degree

Nice If You Have:
  • Experience with full-stack application development or deploying ML models
  • Experience with Palantir tools such as Foundry
  • Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data science tools such as Alteryx
  • Experience working on real-time data, streaming applications, or AI model deployment
  • Experience with data warehousing using AWS RDS, PostgreSQL, or Snowflake
  • Experience with Agile engineering practices
  • Ability to rapidly master new AI / ML frameworks, libraries, and tools
  • Ability to be technically curious and eager to learn

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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