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Director Cyber Security Machine Learning Jobs (NOW HIRING)

Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration ... S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and ...

Master's or PhD in Computer Science, Cybersecurity, Machine Learning, Artificial Intelligence, or a related discipline. * Contributions to AI security research, open-source AI safety tools ...

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Familiarity with Cybersecurity (Mandiant) * AWS Cloud experience * Experience with Graph Analysis

Showing results 41-60

Director Cyber Security Machine Learning information

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$40.5K

$122.9K

$180K

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

As of Aug 21, 2026, the average yearly pay for director cyber security machine learning in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Cyber Security Machine Learning vs Cyber Security Data Scientist?

AspectDirector Cyber Security Machine LearningCyber Security Data Scientist
Required CredentialsBachelor's/Master's in CS, Cybersecurity, or related; certifications like CISSP, CEH; experience in ML and securityBachelor's/Master's in CS, Data Science, or related; certifications like CISSP, GIAC; strong data analysis skills
Work EnvironmentLeads security teams, develops ML models for threat detection, strategic planningAnalyzes security data, develops models, supports security teams with insights
Employer & Industry UsageUsed in cybersecurity firms, large enterprises, government agenciesCommon in tech companies, cybersecurity firms, research institutions

The main difference is that the Director Cyber Security Machine Learning oversees security teams and strategic ML initiatives, while the Cyber Security Data Scientist focuses on analyzing data and developing models to support security operations.

What cities are hiring for Director Cyber Security Machine Learning jobs?

Cities with the most Director 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 Director Cyber Security Machine Learning jobs?

States with the most job openings for Director Cyber Security Machine Learning jobs include:

Director, Machine Learning-Artificial Intelligence

Archer Daniels Midland

Erlanger, KY • On-site

Full-time

Posted 2 days ago

New


ADM rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

75th of 365 rated logistics


Job description

Director, Machine Learning-Artificial Intelligence, Archer Daniels Midland Company, Erlanger, KY.
Provide guidance and hands-on development of machine learning solutions supporting data science
initiatives leveraging the Azure ecosystem and partner integrations. Research, design, implement, and
deploy full-stack scalable artificial intelligence and machine learning solutions to address various business
challenges. Design and develop immersive and interactive AR, VR, and XR applications that meet project
specifications and user requirements, while ensuring high performance, scalability, and usability. Design
and develop Generative AI solutions using fine-tuning, embeddings, with commercial and open-source
large language models. Lead the development of artificial intelligence initiatives in an environment rich in
complex biological, environmental, operational, and business data. Establish and manage collaborations
engaging business units to develop novel data analytic approaches and integrated decision science
solutions. Evaluate in-depth market analysis and drive the business case for optimization of existing
products and creation of next generation AI products. Support the development of AI product roadmaps
and timelines.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Machine Learning, Data Science, Statistics, Applied
Mathematics, Physics, Computer Science, Bioinformatics, Business Analytics, or a related field, and seven
(7) years of post-bachelor's, progressive, related work experience.
Must have five (5) years of experience with/in:
Applying artificial intelligence, machine learning, and architecture skills to solve commercial,
financial, and manufacturing problems;
Machine learning techniques (e.g., clustering, decision tree learning, and/or artificial neural
networks) and Machine Learning lifecycle from beginning to end;
Working with enterprise scale databases, with demonstrated ability to navigate ambiguous
architectures and data sources;
Azure cloud services;
Database (SQL) knowledge, database management, business intelligence, enterprise performance
management, data mining, and systems administration;
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational
(NoSQL) databases, web services, and RESTful concepts; and
Working knowledge of BI Governance, Data Governance, Master Data Management, and Data
Quality Management.
50% telecommuting permitted.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0130)

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