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Full Time Artificial Intelligence Machine Learning Jobs

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

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... Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data ...

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Full Time Artificial Intelligence Machine Learning information

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How much do full time artificial intelligence machine learning jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for full time artificial intelligence machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time artificial intelligence machine learning professional, and why are they important?

To thrive as a Full Time Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially Python), and a relevant degree such as computer science or data science. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), cloud platforms (AWS, Azure), and relevant certifications are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and innovate within diverse teams. These competencies are essential for developing robust AI solutions and staying current in a rapidly evolving field.

What are some common challenges faced by professionals in full time artificial intelligence machine learning roles, and how can they be addressed?

Professionals in full-time AI and Machine Learning roles often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and keeping up with rapid technological advancements. Additionally, collaborating with cross-functional teams to translate business needs into technical solutions can be demanding. To address these challenges, it is crucial to stay updated with the latest research, leverage robust data preprocessing techniques, and maintain open communication with stakeholders. Regularly participating in team meetings and knowledge-sharing sessions also helps in overcoming obstacles and fostering innovation.

What is the difference between Full Time Artificial Intelligence Machine Learning vs Data Scientist?

AspectFull Time Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in ML/AIDegree in Statistics, Computer Science, or related fields; certifications in data analysis
Work EnvironmentTech companies, research labs, startups; focus on developing AI/ML modelsBusiness environments, consulting firms; focus on data analysis and insights
Employer & Industry UsagePrimarily in tech, finance, healthcare, and research sectorsAcross industries like marketing, finance, healthcare, and e-commerce

While both roles involve working with data, Full Time Artificial Intelligence Machine Learning specialists focus on developing and deploying AI/ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in their primary objectives and skill sets.

What is a full time artificial intelligence machine learning?

A Full Time Artificial Intelligence Machine Learning job typically involves working as a specialist or engineer who develops, implements, and maintains AI and machine learning models. This role may include tasks such as data preprocessing, building predictive algorithms, optimizing model performance, and collaborating with cross-functional teams to solve real-world problems using AI. Professionals in this field usually work with large datasets, programming languages like Python, and frameworks such as TensorFlow or PyTorch. Full-time positions generally require a background in computer science, mathematics, or a related field, and often involve ongoing learning to keep up with rapidly evolving technologies.

What cities are hiring for Full Time Artificial Intelligence Machine Learning jobs?

Cities with the most Full Time Artificial Intelligence Machine Learning job openings:

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs?

The most popular types of Artificial Intelligence Machine Learning jobs are:

What states have the most Full Time Artificial Intelligence Machine Learning jobs?

States with the most job openings for Full Time Artificial Intelligence Machine Learning jobs include:

Artificial Intelligence/Machine Learning Engineer, Junior

Everwatch

Annapolis Junction, MD

$55.28 - $72.11/hr

Full-time

Re-posted 17 days ago


Job description

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

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.


Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Join us. The world can’t wait.


You Have: 

  • 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
  • Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
  • Familiarity with standard data science libraries and development tools
  • Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
  • Ability to collaborate within a team and communicate technical concepts clearly
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience

Nice If You Have: 

  • Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
  • Experience with version control tools such as Git and collaborative development environments
  • Knowledge of deep learning frameworks such as PyTorch or TensorFlow
  • Knowledge of large language models (LLMs) and generative AI concepts
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Knowledge of containerization technologies such as Docker or Kubernetes
  • Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
  • Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments 

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 with a polygraph is required. 

Compensation at EverWatch 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 $55.28 to $72.11 per hour.  The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch’s total compensation package for employees.


US-MD-Annapolis Junction
AI/ML, LLM, API, Python