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Entry Level Cyber Security Machine Learning Jobs

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments. The intern ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This is not an entry-level position, and it is not a principal or architect-level role.. Location ...

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps ... Lead AI and machine learning initiatives that support modernization, automation, and advanced ...

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Entry Level Cyber Security Machine Learning information

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$45K

$93.2K

$145K

How much do entry level cyber security machine learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for entry level cyber security machine learning in the United States is $93,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $112,000.00 per year, depending on experience, location, and employer.

What is the synonym of entry?

In the context of an Entry Level Cyber Security Machine Learning position, a synonym for 'entry' is 'initial' or 'beginner,' indicating a role suitable for those starting their careers with minimal experience. These roles often require foundational knowledge of cybersecurity concepts and basic machine learning skills, and they serve as a stepping stone for more advanced positions.

Is it entree or entry?

The correct term for the job level is 'entry' level, as in 'entry-level cybersecurity' or 'entry-level machine learning' roles. These positions are designed for candidates with minimal professional experience and often require foundational skills in cybersecurity concepts, programming, or machine learning tools. 'Entree' is a culinary term and not related to job levels.

Is it entry or entery?

The correct term for starting a career in entry-level cybersecurity machine learning roles is 'entry level.' The word 'entery' is a misspelling and not used in professional contexts. Entry-level positions typically require foundational skills in cybersecurity and machine learning tools like Python or TensorFlow.

What does entry mean?

In the context of an Entry Level Cyber Security Machine Learning position, 'entry' typically refers to a role suitable for candidates with minimal professional experience, often requiring foundational knowledge of cybersecurity concepts, machine learning techniques, and relevant tools. These roles are designed for individuals starting their careers and may include on-the-job training or basic certifications like CompTIA Security+ or introductory courses in machine learning. They usually have lower experience requirements and serve as a stepping stone to more advanced positions.
More about Entry Level Cyber Security Machine Learning jobs
What cities are hiring for Entry Level Cyber Security Machine Learning jobs? Cities with the most Entry Level Cyber Security Machine Learning job openings:
What are the most commonly searched types of Cyber Security Machine Learning jobs? The most popular types of Cyber Security Machine Learning jobs are:
What states have the most Entry Level Cyber Security Machine Learning jobs? States with the most job openings for Entry Level Cyber Security Machine Learning jobs include:
What job categories do people searching Entry Level Cyber Security Machine Learning jobs look for? The top searched job categories for Entry Level Cyber Security Machine Learning jobs are:
Entry Level Cyber Security Machine Learning jobs near you
Infographic showing various Entry Level Cyber Security Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 28% Full Time, 62% Part Time, and 9% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $93,170 per year, or $44.8 per hour.

Research Scientist - Communications, Networks, Cybersecurity, AI/ML

Nexcepta, Inc

Gaithersburg, MD • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

Job description

Nexcepta, Inc. seeks Research Scientists in one or more research areas of communications, networks, cybersecurity, machine learning, data analytics, and computing. You will be working with an interdisciplinary team of scientists and engineers to develop cutting-edge technologies. Strong analytical and programming skills are required. Responsibilities include participating in research activities, writing technical documents, developing software and prototypes, and writing research proposals. US. Citizenship or Permanent Residency is required. Prospective candidates should have Ph.D. or M.S. in Electrical and Computer Engineering, Computer Science, and related fields. Nexcepta offers comprehensive benefits (including health/dental/vision insurance, 401K, bonus and other compensation plans).

Nexcepta, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Company Description

Nexcepta is a technology leader providing cutting-edge R&D solutions, commercial products, and engineering services to federal and commercial customers. Nexcepta offers a broad portfolio of interdisciplinary solutions in NextG communications and networks, cybersecurity, cloud and edge computing, machine learning, and data analytics. Nexcepta’s culture is rooted in creative technologies designed for high impact operational transition from novel designs to mature implementations.