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Mlops Security Engineer Jobs (NOW HIRING)

Med-Metrix

Senior Cloud Security Engineer

Parsippany, NJ · On-site

$115K - $157K/yr

Design and secure AI/ML environments, including MLOps pipelines, model security, inference ... Partner with engineering and data science teams to implement secure-by-design and privacy ...

Point72

GenAI Security Engineer

Manhattan, NY · On-site

... Security Engineer to develop and implement next-generation security controls for their GenAI ... , MLOps, Product, Legal, and Compliance, to land guardrails without blocking delivery. • ...

Point72

GenAI Security Engineer

Manhattan, NY · On-site

... , MLOps, Product, Legal, and Compliance, to land guardrails without blocking delivery. • ... and broader security engineering practices. • Commitment to the highest ethical standards.

Point72

GenAI Security Engineer

Manhattan, NY · On-site

The GenAI Security Engineer will develop and implement next-generation security controls for the ... , MLOps, Product, Legal, and Compliance, to land guardrails without blocking delivery. • ...

OVA.Work

AI Security Engineer

... MLOps pipelines. • Ensure compliance with organizational security policies and industry ... Azure Security Engineer Associate • Google Professional Cloud Security Engineer • Offensive ...

TEKsystems

AI Security Engineer

Bolingbrook, IL · Hybrid

$75 - $80/hr

This is a hands-on engineering role responsible for implementing AI/ML security controls ... MLOps/LLMOps security). Integrate AI risk signals (e.g., prompt injection attempts, data ...

TEKsystems

AI Security Engineer

Bolingbrook, IL

$75 - $80/hr

This is a hands-on engineering role responsible for implementing AI/ML security controls ... MLOps/LLMOps security). Integrate AI risk signals (e.g., prompt injection attempts, data ...

JPMorgan Chase & Co.

Lead Security Engineer

Tampa, FL · On-site

$150 - $200/hr

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity Technology & Controls, you ... Strong hands-on AI/ML engineering skills ( ML frameworks like PyTorch/TensorFlow, MLOps with CI/CD ...

TEKsystems

AI Security Engineer

Bolingbrook, IL · Hybrid

$75 - $80/hr

This is a hands-on engineering role responsible for implementing AI/ML security controls ... MLOps/LLMOps security). Integrate AI risk signals (e.g., prompt injection attempts, data ...

TEKsystems

AI Security Engineer

Bolingbrook, IL

$75 - $80/hr

This is a hands-on engineering role responsible for implementing AI/ML security controls ... MLOps/LLMOps security). Integrate AI risk signals (e.g., prompt injection attempts, data ...

Koch Industries

GPU MLOps Engineer

Austin, TX · On-site

$200K - $280K/yr

Your Job The GPU- MLOps Engineer will own the Azure platform layer end-to-end - deploying AI/ML ... Solid grasp of cloud security fundamentals (IAM, network security, secrets management)

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Showing results 1-20

All JobsMlops Security Engineer Jobs

Mlops Security Engineer information

See salary details

$61.5K

$152.8K

$205.5K

How much do mlops security engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for mlops security engineer in the United States is $152,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $158,500.00 per year, depending on experience, location, and employer.

What is the difference between Mlops Security Engineer vs Data Security Analyst?

AspectMlops Security EngineerData Security Analyst
CredentialsCertifications in cybersecurity, cloud security, and sometimes machine learningCertifications in cybersecurity, data protection, and risk management
Work EnvironmentTech companies, cloud providers, AI/ML teamsFinancial institutions, healthcare, government agencies
Industry UsageUsed in AI/ML deployment pipelines with security focusUsed in protecting data assets and ensuring compliance
Search/Comparison IntentUnderstanding roles in securing ML systemsUnderstanding data security roles in organizations

The Mlops Security Engineer focuses on securing machine learning operations, integrating security into ML pipelines, and protecting AI models. In contrast, a Data Security Analyst primarily safeguards organizational data assets, ensuring compliance and data privacy. While both roles require cybersecurity expertise, the Mlops Security Engineer combines knowledge of ML systems with security practices, whereas the Data Security Analyst concentrates on data protection across various systems.

What are popular job titles related to Mlops Security Engineer jobs?

For Mlops Security Engineer jobs, the most frequently searched job titles are:

Infographic showing various Mlops Security Engineer job openings in the United States as of September 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $152,773 per year, or $73.4 per hour.

DevOps, MLOps & Security Engineering Lead - San Jose, CA

California, MO • On-site

KlearNow.ai
201 - 500 employees
Learn more about KlearNow.aiexternal

$150 - $200/hr

Other

Medical, Dental, Vision

Re-posted 4 days ago

Key responsibilities

  • Lead the strategy and delivery of DevOps, MLOps, and security engineering to protect infrastructure, software supply chain, and AI systems.

  • Manage a cross-functional team of security and DevOps engineers and collaborate with Product and Engineering leadership.

  • Design and govern CI/CD pipelines, infrastructure-as-code, container orchestration, and automation initiatives to improve deployment efficiency and security.

Job description

KlearNow is building AI-native technology that transforms how global trade moves. In this role, you will lead the strategy and delivery of DevOps, MLOps, and security engineering — protecting our infrastructure, software supply chain, and AI systems while enabling the team to ship with speed and confidence. You will manage a cross-functional team of security and DevOps engineers, partner closely with Product and Engineering leadership, and embed a security-first culture across everything we build.

What You'll Do DevOps & CI/CD

Own the design and governance of CI/CD pipelines — including automated testing, SAST/DAST scanning, dependency checks, and secrets detection. Lead infrastructure-as-code and container orchestration practices, and drive automation initiatives that reduce manual effort and improve consistency at scale.

MLOps & AI Infrastructure

Apply engineering rigor to ML training pipelines, model serving infrastructure, and data supply chains. Design and manage the AI infrastructure layer — including GPU/compute resource provisioning, model registry operations, experiment tracking, and inference scaling — across AWS and GCP. Ensure AI systems are built, deployed, and monitored to the same reliability and security standards as core product services.

Security

Lead end-to-end security across cloud, infrastructure, and product — spanning cloud posture management, API protection, runtime security, network segmentation, and secrets management across AWS and GCP environments. Define and enforce security policies, standards, and best practices that balance delivery speed with a strong compliance posture. Anticipate operational risks, drive preventative measures, and lead rapid incident response across environments.

Strategy & Leadership

Translate security and engineering requirements into actionable roadmaps. Define and track KPIs that demonstrate delivery effectiveness and inform prioritization. Act as a trusted security advisor to engineering squads and leadership alike.

What We Are Looking For
  • A proven engineering leader with hands-on depth in DevSecOps, capable of growing and inspiring a high-performing team
  • Strong hands-on knowledge of AWS and GCP — including compute, networking, IAM, managed Kubernetes (EKS/GKE), cloud-native security tooling, and cost-efficient resource management across both platforms
  • Deep experience managing AI infrastructure — GPU/TPU provisioning, distributed training environments, model serving platforms (e.g. SageMaker, Vertex AI), and inference optimization at scale
  • Strong knowledge of cloud security, infrastructure security, and modern CI/CD platforms across hybrid, multi-cloud environments
  • Proficient in scripting and development — Python, Bash, Go, or Java
  • A confident communicator who can translate priorities clearly across developers, stakeholders, and executives
  • Familiarity with AI-assisted security — threat detection, anomaly detection, intelligent vulnerability triage — is a strong advantage
  • Background in Computer Science, Information Security, or equivalent practical experience

$140,000 - $165,000 a year

Benefits
  • Comprehensive medical, dental, and vision insurance
  • Equity participation
  • Flexible time off
  • Collaborative, hybrid in-office environment in our San Jose, CA headquarters

This position is a hybrid role in San Jose, CA. Work from home Monday's and Fridays and in office Tuesday, Wednesday and Thursday.

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