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AI/ML Engineer – Clearance Required
LMIAI/ML Engineer building secure production AI/ML, NLP, and generative AI capabilities for LMI’s federal government missions. Integrating models into applications, workflows, and decision-support systems.
Posted 8/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $122,000 - $211,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, implementing, and optimizing machine learning algorithms and models, with a strong focus on predictive forecasting and real-time decision support. Proficient in MLOps practices, secure AI/ML engineering, and developing scalable architectures for production environments.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProgrammingMLOps ImplementationPredictive ModelingSecure AI/ML Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning AlgorithmsPredictive ForecastingTime-Series AnalysisRegression TechniquesNLP SolutionsAPI DevelopmentModel MonitoringHyperparameter TuningSQL ProficiencyAutomated Testing
Soft Skills
Strong Communication SkillsCollaboration Across TeamsIndependent Prioritization
Tools & Technologies
PyTorchTensorFlowScikit-learnXGBoostKubernetesAWS GovCloudAzure Government
Certifications & Qualifications
Active Secret Security ClearanceBachelor’s Degree in Relevant Field
Industry Keywords
MLOpsDevSecOpsData GovernanceModel EvaluationRisk Management
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityKubernetesPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design, implement, test, and optimize machine learning algorithms for predictive forecasting, rate prediction, resource planning, and real-time decision support
- Develop supervised, unsupervised, time-series, regression, ensemble, NLP, generative AI, large language model, and retrieval-augmented generation solutions
- Engineer reusable model services, APIs, containers, and software components integrating with secure web applications, dashboards, and mission data products
- Design scalable architectures for batch and real-time inference, model serving, monitoring, and application support across development, test, and production
- Integrate predictive models into existing web applications and enterprise workflows
- Collaborate with data scientists and data engineers on data structures, features, pipelines, interfaces, and validation methods
- Conduct performance testing, hyperparameter tuning, error analysis, back-testing, drift detection, and model monitoring
- Implement MLOps and DevSecOps practices for source control, automated testing, CI/CD, model versioning, deployment, monitoring, rollback, and sustainment
- Apply responsible and secure AI/ML engineering practices, including access control, data protection, governance, explainability, evaluation, auditability, and risk management
- Support synchronization, integration, governance, sustainment, and adoption of AI/ML capabilities across mission teams and products
- Develop automation and augmentation projects for human cognitive workload and emerging operational requirements
- Produce technical documentation covering algorithms, architecture, interfaces, security, testing, deployment, operations, and integration
- Develop user guides, training materials, demonstrations, instructional videos, and knowledge-transfer products
- Provide rapid-response engineering and product-level staff augmentation based on mission priorities
Requirements
What you’ll need- Active Secret security clearance with the ability to obtain a Top Secret clearance
- Bachelor’s degree in computer science, artificial intelligence, machine learning, data science, software engineering, mathematics, engineering, or a related technical field
- Five or more years of professional experience designing, developing, deploying, and sustaining machine learning models or AI-enabled software capabilities in production environments
- Advanced proficiency with Python and practical experience with modern machine learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost, or comparable technologies
- Demonstrated experience developing and validating predictive models, including time-series, regression, ensemble, or comparable forecasting methods
- Experience operationalizing models through APIs, services, containers, automated testing, version control, CI/CD, model registries, monitoring, and repeatable deployment processes
- Working knowledge of SQL, data structures, feature pipelines, data quality controls, and secure integration with relational, non-relational, object-storage, or analytical data platforms
- Experience developing scalable architectures for batch or real-time inference, model serving, application integration, monitoring, and production support
- Knowledge of responsible and secure AI/ML engineering practices, including access control, data protection, model governance, explainability, evaluation, auditability, and risk management
- Experience producing clear algorithm, architecture, interface, test, deployment, operational, and knowledge-transfer documentation
- Strong written and verbal communication skills and ability to collaborate across data science, data engineering, software, cybersecurity, governance, and operational teams
- Ability to independently manage multiple priorities and deliver reliable production capabilities in a fast-paced, mission-focused environment
- Preferred: Master’s degree; secure government cloud environments such as AWS GovCloud or Azure Government; Kubernetes; infrastructure as code; DevSecOps; prior military service or direct professional experience supporting U.S. Special Operations Forces
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account LMI Website LinkedIn All Job Openings 1001 - 5000 employees Founded 1961 📦 Logistics 🏥 Healthcare 🎖️ Defense Logistics
- Healthcare
- Defense LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships. AI/ML Engineer – Clearance Required Job not on LinkedIn 🔥 1 minute ago 🇺🇸 United States – Remote 💵 $122k - $211k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor 👻 Ghost score 0% AWS Azure Cloud Cyber Security Kubernetes Python PyTorch Scikit-Learn SQL Tensorflow Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design, implement, test, and optimize machine learning algorithms for predictive forecasting, rate prediction, resource planning, and real-time decision support
- Develop supervised, unsupervised, time-series, regression, ensemble, NLP, generative AI, large language model, and retrieval-augmented generation solutions
- Engineer reusable model services, APIs, containers, and software components integrating with secure web applications, dashboards, and mission data products
- Design scalable architectures for batch and real-time inference, model serving, monitoring, and application support across development, test, and production
- Integrate predictive models into existing web applications and enterprise workflows
- Collaborate with data scientists and data engineers on data structures, features, pipelines, interfaces, and validation methods
- Conduct performance testing, hyperparameter tuning, error analysis, back-testing, drift detection, and model monitoring
- Implement MLOps and DevSecOps practices for source control, automated testing, CI/CD, model versioning, deployment, monitoring, rollback, and sustainment
- Apply responsible and secure AI/ML engineering practices, including access control, data protection, governance, explainability, evaluation, auditability, and risk management
- Support synchronization, integration, governance, sustainment, and adoption of AI/ML capabilities across mission teams and products
- Develop automation and augmentation projects for human cognitive workload and emerging operational requirements
- Produce technical documentation covering algorithms, architecture, interfaces, security, testing, deployment, operations, and integration
- Develop user guides, training materials, demonstrations, instructional videos, and knowledge-transfer products
- Provide rapid-response engineering and product-level staff augmentation based on mission priorities 🎯 Requirements
- Active Secret security clearance with the ability to obtain a Top Secret clearance
- Bachelor’s degree in computer science, artificial intelligence, machine learning, data science, software engineering, mathematics, engineering, or a related technical field
- Five or more years of professional experience designing, developing, deploying, and sustaining machine learning models or AI-enabled software capabilities in production environments
- Advanced proficiency with Python and practical experience with modern machine learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost, or comparable technologies
- Demonstrated experience developing and validating predictive models, including time-series, regression, ensemble, or comparable forecasting methods
- Experience operationalizing models through APIs, services, containers, automated testing, version control, CI/CD, model registries, monitoring, and repeatable deployment processes
- Working knowledge of SQL, data structures, feature pipelines, data quality controls, and secure integration with relational, non-relational, object-storage, or analytical data platforms
- Experience developing scalable architectures for batch or real-time inference, model serving, application integration, monitoring, and production support
- Knowledge of responsible and secure AI/ML engineering practices, including access control, data protection, model governance, explainability, evaluation, auditability, and risk management
- Experience producing clear algorithm, architecture, interface, test, deployment, operational, and knowledge-transfer documentation
- Strong written and verbal communication skills and ability to collaborate across data science, data engineering, software, cybersecurity, governance, and operational teams
- Ability to independently manage multiple priorities and deliver reliable production capabilities in a fast-paced, mission-focused environment
- Preferred: Master’s degree; secure government cloud environments such as AWS GovCloud or Azure Government; Kubernetes; infrastructure as code; DevSecOps; prior military service or direct professional experience supporting U.S. Special Operations Forces Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI/ML Engineer 🔥 5 hours ago Commence 501 - 1000 🏥 Healthcare 🏛️ Government 🤖 Artificial Intelligence Website LinkedIn All Job Openings AI/ML Engineer building and productionizing models for Commence’s healthcare data products. Supporting clinical AI, LLM workflows, and compliant ML operations. 🇺🇸 United States – Remote 💵 $125k - $155k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer AWS Docker Flask Kubernetes PySpark Python PyTorch Scikit-Learn SQL Tensorflow Machine Learning Engineer 🔥 15 hours ago Talent Inc. 51 - 200 💼 Consulting 📣 Marketing 📦 Logistics Website LinkedIn All Job Openings Machine Learning Engineer owning production ML products for Careerminds' career transition and coaching platform. Building retrieval, ranking, entity resolution, and agentic LLM systems. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer AWS Cloud Python PyTorch Tensorflow Applied Machine Learning Manager – Application Fraud 🔥 17 hours ago SentiLink 51 - 200 🔐 Security 💳 Fintech 💸 Finance Website LinkedIn All Job Openings Applied ML Manager leading teams developing fraud detection and identity verification models at SentiLink. Owning production ML, risk analysis, and product strategy for U.S. financial systems. 🇺🇸 United States – Remote 💵 $200k - $250k / year 💰 $70M Series B on 2021-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Python Machine Learning Engineer, 3D Vision 🔥 21 hours ago FIT:MATCH.ai 11 - 50 🤖 Artificial Intelligence 👗 Fashion 🏥 Healthcare Website LinkedIn All Job Openings Machine Learning Engineer developing 3D body-insight models for Fit:Match’s AI platform. Turning mobile body scans into actionable data for apparel, sports performance, and healthcare. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer AWS Azure Cloud Docker Google Cloud Platform Keras Kubernetes Linux Numpy Pandas Python PyTorch Scikit-Learn Tensorflow Unix Machine Learning Engineer 🔥 21 hours ago AMP 51 - 200 Website LinkedIn All Job Openings Machine Learning Engineer developing deep learning and computer vision models for AMP’s AI-powered waste and recycling sortation. Shipping research-driven models to production and improving ML infrastructure. 🇺🇸 United States – Remote 💵 $162k - $170k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Cloud Python PyTorch View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs