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Full Time Edge Ai Machine Learning Jobs (NOW HIRING)

Sr Engineer, AI/Machine Learning

Irvine, CA ยท On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions. We are ...

AI Machine Learning Engineer

Columbus, OH ยท Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

Director Embedded AI Engineering

Atlanta, GA ยท On-site

$126K - $166K/yr

You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions. We are ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled AI ... edge AI initiatives. This is an exciting opportunity for someone passionate about machine learning ...

Sr Engineer, AI/Machine Learning

Irvine, CA ยท On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

AI Machine Learning Engineer

Hartford, CT ยท Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

Sr Engineer, AI/Machine Learning

Irvine, CA ยท On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

AI Machine Learning Engineer

Charlotte, NC ยท Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

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Full Time Edge Ai Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do full time edge ai machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for full time edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are Full Time Edge AI Machine Learning jobs?

Full Time Edge AI Machine Learning jobs involve developing and deploying machine learning models that run directly on edge devices, such as smartphones, IoT devices, or embedded systems, rather than relying solely on cloud computing. Professionals in these roles work on optimizing algorithms for low-power, resource-constrained environments and enabling real-time AI processing at the device level. These jobs typically require expertise in AI, machine learning, embedded systems, and sometimes hardware integration, and are essential for applications like smart cameras, autonomous vehicles, and industrial automation.

What are the key skills and qualifications needed to thrive as a Full Time Edge AI Machine Learning Engineer, and why are they important?

To thrive as a Full Time Edge AI Machine Learning Engineer, you need a solid background in computer science, machine learning algorithms, and embedded systems, often supported by a relevant degree and experience in AI model deployment. Familiarity with frameworks like TensorFlow Lite, ONNX, and hardware platforms such as NVIDIA Jetson or ARM Cortex is typically required, along with knowledge of programming languages like Python and C++. Strong problem-solving, adaptability, and effective communication skills help you collaborate across multidisciplinary teams and address real-time deployment challenges. These combined skills ensure efficient, scalable, and robust AI solutions on resource-constrained edge devices, which is critical for success in this rapidly evolving field.

What is the difference between Full Time Edge Ai Machine Learning vs Data Scientist?

AspectFull Time Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong programming skills
Work EnvironmentEdge devices, IoT environments, real-time data processingOffice or remote, data analysis, model development
Industry UsageAI hardware companies, IoT, autonomous systemsTech, finance, healthcare, research

Full Time Edge Ai Machine Learning specialists focus on deploying ML models on edge devices for real-time processing, often requiring knowledge of hardware and embedded systems. Data Scientists analyze data, develop models, and interpret results primarily in cloud or office settings. While both roles involve machine learning, Edge AI emphasizes deployment on hardware, whereas Data Scientists focus on data analysis and model development.

What is the synonym for full?

A synonym for full is complete or entire. In the context of a Full Time Edge AI Machine Learning role, it indicates a position with full-time hours, typically 40 hours per week, requiring consistent commitment and often involving comprehensive responsibilities.

What are some common challenges faced when deploying AI models on edge devices in a full-time Edge AI Machine Learning role?

One of the main challenges in this role is optimizing machine learning models to run efficiently on resource-constrained edge devices, which often have limited processing power and memory compared to cloud environments. Ensuring low latency and real-time performance without sacrificing accuracy requires specialized techniques such as model quantization or pruning. Additionally, maintaining robust security and handling data privacy on distributed devices adds complexity. Collaboration with hardware engineers and software developers is frequently required to address these multidisciplinary challenges.

Is it full or ful?

The correct term for the job is 'Full Time Edge AI Machine Learning' position. It indicates a full-time role, typically requiring standard working hours and possibly involving skills in machine learning, AI tools, and programming. The abbreviation 'ful' is not used in this context and may be a typo or shorthand for 'full.'
More about Full Time Edge Ai Machine Learning jobs
What cities are hiring for Full Time Edge Ai Machine Learning jobs? Cities with the most Full Time Edge Ai Machine Learning job openings:
What are the most commonly searched types of Edge Ai Machine Learning jobs? The most popular types of Edge Ai Machine Learning jobs are:
What states have the most Full Time Edge Ai Machine Learning jobs? States with the most job openings for Full Time Edge Ai Machine Learning jobs include:
Infographic showing various Full Time Edge Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
SME Computer Scientist - Artificial Intelligence (AI)/Machine Learning (ML) (J26 Support)

SME Computer Scientist - Artificial Intelligence (AI)/Machine Learning (ML) (J26 Support)

Prescient Edge

Mooresville, AL โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Key responsibilities

  • Provides support to properly align the J2 workforce with the growing use of IC and DoD AI/ML initiatives and projects.

  • Supports the research, acquisition, fielding, sustaining, and training of AI/ML tools and applications for the J2 workforce.

  • Creates AI/ML models to process raw data and selects models to assist in developing IC and DoD machine learning programs for space-related data.


Job description

Job Title
SME Computer Scientist - Artificial Intelligence (AI)/Machine Learning (ML) (J26 Support)
Location
Huntsville, AL 35649 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Master's Degree
Travel
None
Security Clearance Required
TS/SCI with CI Polygraph
Job Description
Prescient Edge is seeking a SME Computer Scientist - Artificial Intelligence (AI)/ Machine Learning (ML) (J26 Support) to support a federal government client.
Please note that the availability of this position is contingent upon contract award.
Benefits
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

Security Clearance:
  • Security clearance required TS/SCI with a CI POLY or the ability to obtain one.

Job Requirements
Description:
  • Provides support to properly align the J2 workforce with the growing use of IC and DoD AI / ML initiatives/projects.
  • Supports the research, acquisition, fielding, sustaining, and training of AI / ML tools/applications for the J2 workforce.
  • Creates AI / ML models to run systematic processes on raw data and selects models that pull the most relevant information from collected data to assist in creating IC and DoD machine learning programs to look for or seek out specific conditions in space/space-related data and respond based on USSPACECOM PIRs / CCIRs.
  • Supports USSPACECOM J2 intelligence processes critical to near-term, mid-term, and far-term efforts for the Command, components, and other DoD organizations. Possesses an advanced degree in Computer Science, Mathematics, Statistics, or a related quantitative field.

Desired Experience:
  • 20 years of experience relevant to the specific labor category with at least a portion of the experience within the last 2 years.

Desired Education:
  • Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.

Location:
  • Huntsville, AL.

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.

Prescient Edge logo

About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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