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Ml Devops Engineer Jobs (NOW HIRING)

Opiniion

DevOps Engineer

Lehi, UT · On-site

$49.50 - $67.75/hr

We're looking for a Staff DevOps Engineer to own the reliability, scalability, and security of our ... Experience supporting AI/ML workloads or MLOps pipelines on AWS. * Background in high-growth SaaS ...

Allegis Group

DevOps Engineer

Hanover, MD · On-site

$52 - $71.25/hr

The DevOps Engineer is a technical operational engineering role responsible for improving DevOps, Release Management, Test Automation, and platform operations through intelligent automation ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA · On-site

$77K - $176K/yr

Booz Allen is the leading provider of AI services to the nation, and we're looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them into ...

TIER4 GROUP

Devops Engineer

Atlanta, GA

$50.75 - $69.50/hr

The DevOps Engineer role will be accountable for designing, developing, testing, deploying, and monitoring software applications and infrastructure using agile and DevOps methodologies. We are ...

Anthem Engineering

DevOps Engineer

Chantilly, VA · On-site

$54 - $74/hr

DevOps Engineer Location: Chantilly VA We are looking for a DevOps Engineer with experience in building, delivering, and maintaining high-performing, scalable, enterprise-grade applications. You will ...

WorkNovas LLC

Sr. DevOps Engineer

Austin, TX · On-site

$50 - $55/hr

Role: Sr. DevOps Engineer Location: Austin, TX Duration: 12+ Months Contract 10+ years of ... Experience supporting AI and ML systems * Agent orchestration frameworks (e.g., AgentCore or ...

Alignity Solutions

AI DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

This role sitsat the intersection of DevOps, Platform Engineering, Site ReliabilityEngineering (SRE ... Knowledge of observability, monitoring, capacityplanning, and reliability engineering for AI/ML ...

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. * Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude ...

Qualcomm

DevOps Engineer

Austin, TX · On-site

$154K - $231K/yr

... s Engineer to help deliver the future of AI on DSPs ... Our team manages the cross-site infrastructure and tools that enable Qualcomm's ML teams to deliver ...

Prophecy Technologies

GCP DevOps Engineer

Scottsdale, AZ · On-site

$53.25 - $72.75/hr

... experienced Engineer specializing in cloud infrastructure, automation, and operations, with a ... A significant aspect of the role involves applying AI/ML concepts and AIOps practices to enhance ...

INflow Federal

DevOps Engineer

Springfield, VA

$120K - $170K/yr

As a DevOps Engineer, you'll be at the heart of our mission to empower DoD customers with cutting-edge AI/ML solutions. Your expertise will not only pave the way for innovative data management and ...

INflow Federal

DevOps Engineer

Springfield, VA

$120K - $170K/yr

As a DevOps Engineer, you'll be at the heart of our mission to empower DoD customers with cutting-edge AI/ML solutions. Your expertise will not only pave the way for innovative data management and ...

J5 Consulting

DevOps Engineer

Mclean, VA · On-site

$53.25 - $73/hr

Demonstrated experience or background deploying and supporting AI/ML workloads or model serving infrastructure. * Demonstrated experience mentoring team members on DevOps and cloud best practices

Apex Informatics

DevOps Engineer

Dallas, TX · On-site

$48.75 - $66.75/hr

Position Title * DevOps Engineer ACSXAG85 Position Responsibilities DevOps Engineer Plano TX (Hybrid role) Visa Open (W2 Candidates) Must have skill: Ansible, DevOps Specialist, DevOps Qualifications:

Adidev Technologies Inc

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

Steampunk

MLOps Engineer

Bloomington, IL · On-site

$115K - $150K/yr

AWS ML Specialty * AWS DevOps Engineer * Azure Data Scientist Associate * Google Professional Machine Learning Engineer * Databricks Machine Learning Associate/Professional About steampunk Steampunk ...

Adtech

AI/ML Engineer With DevOps

Ashburn, VA · On-site

$54 - $74/hr

AI/ML Engineer with DevOps Location: Ashburn, VA (Hybrid 2 days a week onsite) Duration: Full time Responsibilities include but are not limited to: * Lead the integration and deployment of trained AI ...

Adidev Technologies Inc

DevOps Engineer

Seattle, WA · On-site

$60 - $82.25/hr

Job Advertisement - DevOps Engineer We are a fast‑growing technology company focused on delivering reliable, scalable, and secure cloud‑native applications to enterprise clients. Our engineering ...

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ML Devops Engineer information

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How much do ml devops engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for ml devops engineer in the United States is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $69.23 per hour, depending on experience, location, and employer.

What is an ML DevOps engineer?

ML DevOps Engineers are professionals who bridge the gap between machine learning (ML) development and operations (DevOps). They are responsible for automating, deploying, monitoring, and maintaining machine learning models in production environments. Their work ensures that ML models are scalable, reliable, and integrated seamlessly within an organization's infrastructure. ML DevOps Engineers collaborate with data scientists, software engineers, and IT teams to streamline the ML lifecycle from model development to deployment and monitoring.

How does an ML DevOps engineer typically collaborate with data scientists and software engineers on machine learning projects?

An ML DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by operationalizing machine learning models. They work closely with data scientists to understand model requirements and assist in preparing models for deployment, ensuring scalability and reliability. Additionally, they collaborate with software engineers to integrate models into production systems, automate workflows, and maintain infrastructure. This cross-functional teamwork often involves regular meetings, code reviews, and shared documentation, fostering a collaborative and agile environment.

What are the key skills and qualifications needed to thrive as an ML DevOps engineer, and why are they important?

To thrive as an ML DevOps Engineer, you need strong skills in machine learning, software engineering, and cloud infrastructure, often supported by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD systems, and platforms such as AWS or Azure, as well as experience with MLOps frameworks, is typically required. Excellent problem-solving, collaboration, and communication skills help you bridge the gap between data science and engineering teams. These competencies are crucial for reliably deploying, scaling, and maintaining machine learning models in production environments.

What is the difference between Ml Devops Engineer vs Data Scientist?

AspectMl Devops EngineerData Scientist
Required SkillsMachine learning, DevOps tools, scripting, cloud platformsStatistics, data analysis, machine learning, programming
Work EnvironmentCollaborates with DevOps and ML teams, focuses on deployment and automationAnalyzes data, builds models, interprets results
CertificationsCloud certifications, ML certifications, DevOps toolsData science certifications, statistical courses

The main difference between an Ml Devops Engineer and a Data Scientist lies in their focus areas. Ml Devops Engineers specialize in deploying, automating, and maintaining machine learning models within production environments, combining DevOps practices with ML expertise. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require knowledge of machine learning, but their responsibilities and skill sets differ significantly.

Are ML Devops engineers still in demand?

ML DevOps engineers are in high demand due to the increasing adoption of machine learning models in production environments. Skills in cloud platforms, automation, and containerization tools like Docker and Kubernetes are highly valued in this role, which supports the deployment, monitoring, and scaling of ML systems.

Is ML DevOps Engineer still in demand in 2026?

ML DevOps Engineers are expected to remain in high demand in 2026 due to the growing adoption of machine learning and AI across industries. Skills in cloud platforms, automation, and containerization tools like Kubernetes and Docker will continue to be valuable for managing ML pipelines and deployments.
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ML Devops Engineer jobs near you
Infographic showing various Ml Devops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.

DevOps Engineer

Lehi, UT • On-site

Opiniion
Software Development • 11 - 50 employees
Learn more about Opiniionexternal

$49.50 - $67.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Job description

Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Our platform has helped thousands of property managers collect and act on real-time feedback, improve resident experiences, and enhance their online reputation. Opiniion is committed to exceptional service and innovation, earning recognition as one of America's fastest-growing private companies. Driven by a forward-thinking team, we're shaping the future of resident engagement. Our continued growth and commitment to innovation make this an exciting time to be part of our team!
Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Our platform has helped thousands of property managers collect and act on real-time feedback, improve resident experiences, and enhance their online reputation. Opiniion is committed to exceptional service and innovation, earning recognition as one of America's fastest-growing private companies. Driven by a forward-thinking team, we're shaping the future of resident engagement. Our continued growth and commitment to innovation make this an exciting time to be part of our team!
LOCATION: Lehi, UT - Hybrid (Monday-Wednesday in office)
EMPLOYMENT TYPE: Full-time
POSITION OVERVIEW:
Opiniion is a SaaS, AI-first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff DevOps Engineer to own the reliability, scalability, and security of our AWS infrastructure. This is a role for someone who thinks in systems, automates everything that shouldn't be manual, and can move fast without breaking trust in the platform.
We're building a new platform alongside our current one, so this role requires balance: owning and operating what's live today while partnering with our Staff Software Architect and Staff Data Architect to stand up the infrastructure for what's next.
You'll set the technical bar for how we build, deploy, and operate our infrastructure, and be a key partner to engineering as we scale.
RESPONSIBILITIES:
  • Design, build, and maintain scalable, secure, and highly available infrastructure on AWS.
  • Balance ownership of existing production infrastructure with building new infrastructure for our next generation platform.
  • Partner with the Staff Software Architect and Staff Data Architect to design the infrastructure foundation for the new platform, while ensuring a clean path to carry over what still needs to run from the current one.
  • Own and evolve the CI/CD pipeline infrastructure and tooling that automation and quality gates run within.
  • Drive infrastructure as code practices across the organization using Terraform or CloudFormation.
  • Manage and optimize core AWS services (EC2, VPC, ECS/EKS, RDS, S3, Lambda, IAM, CloudWatch).
  • Build and improve observability, monitoring, and alerting so issues are caught before they become incidents.
  • Lead incident response and root cause analysis for production systems.
  • Drive cost optimization and capacity planning across our cloud footprint.
  • Embed security best practices into every stage of the deployment pipeline.
  • Mentor engineers on DevOps and cloud infrastructure best practices.

QUALIFICATIONS:
  • 10+ years of experience in DevOps, SRE, or cloud infrastructure engineering, with meaningful time in a staff or technical leadership capacity.
  • Deep, hands-on expertise in AWS, including EC2, VPC, ECS/EKS, RDS, S3, Lambda, IAM, and CloudWatch.
  • Strong experience with infrastructure as code (Terraform, CloudFormation, or similar).
  • Proven track record building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or similar).
  • Solid experience with containerization and orchestration (Docker, Kubernetes).
  • Strong scripting and automation skills (Python, Bash, or similar).
  • Experience with observability and monitoring tools (CloudWatch, Datadog, Prometheus/Grafana, or similar).
  • Working knowledge of networking, security groups, and AWS security best practices.
  • Experience supporting SOC 2 or similar compliance frameworks.
  • Comfort operating in a dual-track environment: maintaining a live production system while helping architect what replaces it.
  • Excellent communication and cross-functional collaboration skills.
  • A strong bias for action and a mindset of continuous improvement.

PREFERRED QUALIFICATIONS:
  • AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect.
  • Experience with multi-country compliance requirements (data residency, privacy regulations, cross-border data handling).
  • Experience supporting AI/ML workloads or MLOps pipelines on AWS.
  • Background in high-growth SaaS environments or post-acquisition infrastructure consolidation.

OPINIION'S CULTURE:
At Opiniion, we take our work seriously, but we don't take ourselves too seriously! We work hard together, and we have a lot of fun doing it. We are a team that believes in real autonomy: you own your area, solve problems, and move fast enough to actually see the change you make. The people here are invested in each other just as much as they're invested in the work, and that combination is what makes this place different. We believe in collaboration, innovation, and building a team that truly cares-about our clients, their residents, and each other.
BENEFITS SNAPSHOT:
  • Comprehensive healthcare plans, encompassing medical, dental, and vision insurance, along with group life coverage. Opiniion covers 40-90% of the premium cost for employees and all dependents.
  • 401(k) retirement plan with a 100% corporate match on the first 1% and 50% match on the next 5%.
  • Pre-tax Health Savings Accounts (HSA).
  • Paid Parental Leave for all new parents (including adoption or foster care).
  • Unlimited Time Off policies.
  • 10 Paid Holidays annually.
  • Monthly Wellness Reimbursement benefit.
  • Note that the above benefits are available only to full-time employees of Opiniion

Opiniion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.

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