Machine Learning Operations (MLOps) Engineer
University of Maryland —College Park, MD
- $150,000 - $225,000 a year
- Full-time
- Background check
- Azure
- Computer Science
5d
Data AI/ML Engineer
Quantum Technologies —Sunnyvale, CA
- $40 - $50 an hour
- Contract
- Background check
- SQL
- AWS
Quick Apply
Quantum Computing Measurement Engineer
Intel —Hillsboro, OR
- $141,910 - $269,100 a year
- Full-time
- Hybrid work
- Analysis skills
- Doctor of Philosophy
- Software development
- Health insurance
Postdoctoral Research Associate: Quantum Algorithms for f-Element Chemistry and Separations
Los Alamos National Laboratory —Los Alamos, NM
- Email
- Pass drug screening
- Doctor of Philosophy
- In-person
- Disability insurance
- Health insurance
Computational Physicist
Fuse —San Leandro, CA
- Extended hours
- Analysis skills
- Math
- Doctor of Philosophy
Quantum Error Correction Metrologist, Quantum AI
Google —Goleta, CA
- $147,000 - $211,000 a year
- Full-time
- Analysis skills
- Doctor of Philosophy
- Experience equivalent to degree accepted
8d
Senior Quantum Computing Libraries Engineer
NVIDIA —New York, NY
- $184,000 - $356,500 a year
- Full-time
- Computer Science
- System design
- 8 years
Lead Quantum Device Theorist
Rigetti Computing —Fremont, CA
- $195,000 - $225,000 a year
- Full-time
- 5 years
- Doctor of Philosophy
- Senior level
- Paid parental leave
- Health insurance
Sr Principal AI Integration Engineer
FormFactor, Inc. —Remote
- Online Application
- Windows
- 3 years
- Master's degree
- Flexible schedule
Principal Quantum System Architect
Microsoft —Redmond, WA
- $142,800 - $304,200 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
Postdoctoral Fellow (PREP0004388)
Johns Hopkins University —Gaithersburg, MD
- $82,000 - $85,000 a year
- Full-time
- Background check
- Math
- University
- Health insurance
Principal Quantum Applications Architect - Cryptography
Microsoft —Redmond, WA
- $142,800 - $304,200 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
11d
Faculty Positions
University of Minnesota —Minneapolis, MN
- Full-time
- Background check
- University
- Doctor of Philosophy
Principal Deep Learning Communication Architect
NVIDIA —Austin, TX
- $272,000 - $431,250 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior Quantum Analog Mixed-Signal Verification Engineer
Microsoft —Redmond, WA
- $119,800 - $258,000 a year
- Full-time
- Background check
- Doctoral degree
- Engineering
Staff Research Scientist
Visa U.S.A. Inc. —Foster City, CA
- $169,100 - $270,800 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- 3 years
- Wellness program
- Health savings account
AI/ML Engineer(Entry Level)
Parahunt Global Solutions —New Jersey
- $55,532.59 - $65,490.87 a year
- Full-time
- Computer Science
- Java
- AWS
- 401(k)
Quick Apply
12d
Scientist V
General Atomics —San Diego, CA
- $116,480 - $208,505 a year
- Full-time
- 7 years
- Computer Science
- Master's degree
- Relocation assistance
Qubit Control IC Designer
Intel —Hillsboro, OR
- $141,910 - $269,100 a year
- Full-time
- Hybrid work
- System design
- Mid-level
- Master's degree
- Health insurance
Patent Agent - Quantum/Physics
Young Basile —Remote
- $160,000 - $200,000 a year
- Full-time
- Remote
- 5 years
- Master's degree
- Doctor of Philosophy
Quick Apply
7d

I want to receive the latest job alert for quantum algorithm models quantum algorithm algorithms quantum algorithm

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

quantum algorithm models quantum algorithm algorithms quantum algorithm jobs near

Machine Learning Operations (MLOps) Engineer

University of Maryland -
College Park, MD

Apply Now

Job Details

Full-time
$150,000 - $225,000 a year
5 days ago

Qualifications

Containerization systems
Software engineering
Continuous Delivery (CD) implementation
Tooling
AI platforms (beyond public GPTs)
Computational framework
Machine learning cloud services
Machine intelligence
Version control systems
Cloud automation
Machine learning (ML) fundamentals
DevOps automation
Machine learning frameworks

Full Job Description

Job Description Summary

Organization's Summary Statement:
The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming. Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation’s security, and are supported by a culture that values integrity, collaboration, and professional growth.

ARLIS is seeking a mid-level MLOps Engineer to support the deployment, scaling, and operationalization of machine learning systems for national security applications. This role focuses on bridging research and production by enabling robust, secure, and reproducible ML pipelines in mission-critical environments. The successful candidate will work closely with AI researchers, software engineers, and domain experts to transition advanced algorithms into operational capabilities.

Key Responsibilities:

Design, build, and maintain scalable ML pipelines for training, evaluation, and deployment.
Operationalize machine learning models in secure, production-grade environments (on-prem, cloud, hybrid).
Implement CI/CD workflows for ML systems, including automated testing, validation, and monitoring.
Manage data pipelines, feature stores, and model versioning to ensure reproducibility and auditability.
Monitor model performance, drift, and system health; implement feedback loops and retraining strategies.
Collaborate with researchers to translate experimental models into production-ready systems.
Integrate security best practices into ML workflows (DevSecOps for AI systems).
Support deployment of ML systems in constrained or classified environments.
Contribute to infrastructure design supporting AI/ML workloads (GPU clusters, distributed systems).

Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history.

Final offer is contingent upon the candidate’s ability to successfully obtain the necessary interim Secret security clearance, as determined by the U.S. Government, prior to commencing employment.

Physical Demands:
Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen.

Minimum Qualifications:

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
3–6 years of experience in software engineering, data engineering, or MLOps.
Experience with ML frameworks (e.g., PyTorch, TensorFlow) and pipeline tools (e.g., Airflow, Kubeflow).
Proficiency in Python and experience with containerization (Docker) and orchestration (Kubernetes).
Experience with cloud platforms (AWS, Azure, or GCP) and ML services.
Understanding of software engineering best practices (CI/CD, testing, version control).

Preferences:

Experience deploying ML systems in regulated or security-sensitive environments.
Familiarity with data governance, model auditing, and explainability techniques.
Experience with distributed training, GPU acceleration, and large-scale data systems.
Knowledge of infrastructure-as-code (Terraform, CloudFormation).
Experience supporting national security, defense, or intelligence-related programs.
Active U.S. security clearance.

Work Environment & Impact:

Work on cutting-edge AI/ML systems addressing real-world national security challenges.
Collaborate with leading experts across disciplines in a highly innovative R&D environment.
Help transition advanced research into operational capabilities with tangible mission impact.

Licenses/ Certifications: N/A

Additional Job Details

Required Application Materials: Cover Letter, Resume, List of References

Best Consideration Date: 6/26/26

Posting Close Date: N/A

Open Until Filled: Yes

Financial Disclosure Required

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .

Department

VPR-Applied Research Lab for Intelligence & Security

Worker Sub-Type

Faculty Regular

Salary Range

$150,000 - $225.000

Benefits Summary

For more information on Regular Faculty benefits, select this link .

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination Notice

Resources

Learn how military skills translate to civilian opportunities with O*Net Online

Search Firm Managed Recruitment

There are some positions that are not advertised on this career site as the search is being managed by a Search Firm.

Apply Now

Refine Your Search

quantum algorithm models quantum algorithm algorithms quantum algorithm jobs