Explore the latest MLOps engineer jobs from companies hiring across the globe. This page features curated opportunities for professionals who bridge the gap between machine learning development and production operations, ensuring ML models are deployed, monitored, and maintained at scale.
ERT
BetMGM
Booz Allen Hamilton
Please See Below
PwC
University of Maryland
Sentara Health Plans
TechWish
DPR Construction
Halvik
Insights drawn from the latest openings on this page so you can compare employers, locations, and pay before applying.
10% of these openings can be done remotely.
Across 10 listings, advertised pay ranges from USD 91k to USD 170k.
Typical band: USD 113k – 161k.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
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Here are some of the latest openings matching this category. Browse the full list above to filter by location, experience, and employment type.
ERT, Inc. is seeking an experienced Artificial Intelligence Cybersecurity Engineer to manage and optimize AI models in production. This role involves deploying machine learning models, ensuring their performance and security, and building dashboards for monitoring real-time health. Candidates should have 5+ years of ex…
View & Apply →BetMGM is seeking a Senior MLOps Engineer to treat ML systems as software, delivering a production-ready platform from model to endpoint with low latency and cost controls. You will own the end-to-end lifecycle, from feature stores to model registries and CI/CD, enabling data scientists to ship models quickly while mai…
View & Apply →A global consulting firm based in Bethesda, Maryland is seeking an experienced MLOps Engineer to streamline the development lifecycle for machine learning models. The role involves building and maintaining a robust MLOps platform in the Cloud, focusing on continuous integration and deployment practices. Ideal candidate…
View & Apply →Data Scientist / MLOps Engineer Thoriva.ai · Vienna, VA · Hybrid · Full-Time · Engineering & DevOps Thoriva.ai, an Infinite Company, is building the ML backbone of our government services solutions, and we need engineers who can own it end-to-end. As a Data Scientist / MLOps Engineer, you will design, deploy, and susta…
View & Apply →Specialty/Competency: Operations Industry/Sector: Health Services Time Type: Full time Travel Requirements: Up to 80% At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operationa…
View & Apply →The University of Maryland is hiring a mid-level MLOps Engineer for the Applied Research Laboratory for Intelligence & Security (ARLIS). This role involves supporting the deployment and operationalization of machine learning systems to address national security challenges. Key responsibilities include maintaining scala…
View & Apply →Sentara Health Plans is seeking a Senior MLOps & Generative AI Engineer to architect and deploy enterprise-grade AI platforms in a healthcare setting. The role focuses on building scalable ML infrastructure, CI/CD for AI workloads, and GenAI applications using LLMs, RAG, and vector databases. You will collaborate with …
View & Apply →Title: MLOps Engineer Engagement Type: FTE Grade: 7 Location: REMOTE Primary Responsibilities: • Develop and implement end-to-end MLOps strategies to enhance solutions, including building, testing, and deploying machine learning and deep learning models. • Design, build, and maintain robust machine learning pipelines f…
View & Apply →## Data and MLOps Engineer — Raleigh - Durham, NC DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR’s AI initiatives. You will work with cross-functional partner…
View & Apply →A leading tech company is seeking a skilled ML Engineer to develop and optimize machine learning models. The ideal candidate will have over 5 years of experience and deep expertise in Python, AWS, and MLOps. You'll collaborate closely with data scientists to create robust ML solutions that integrate seamlessly with bus…
View & Apply →Explore the latest MLOps engineer jobs from companies hiring across the globe. This page features curated opportunities for professionals who bridge the gap between machine learning development and production operations, ensuring ML models are deployed, monitored, and maintained at scale.
MLOps Engineers build and manage the infrastructure and workflows that take machine learning models from experimentation to production. Employers are seeking candidates with expertise in ML pipeline orchestration (Kubeflow, MLflow, Airflow), containerization (Docker, Kubernetes), CI/CD for ML, model versioning, feature stores, and model monitoring. Strong skills in Python, cloud platforms, and infrastructure as code are essential.
These roles are rapidly growing as organizations move beyond proof-of-concept AI projects to production-grade ML systems. Industries including fintech, healthcare, autonomous vehicles, e-commerce, and enterprise AI are actively building MLOps teams.
Our curated listings include remote, hybrid, and onsite positions across North America, Europe, Asia-Pacific, and global AI innovation hubs. Many roles offer competitive salaries and the opportunity to shape how organizations operationalize artificial intelligence.
Each job posting provides detailed information about required skills, ML stacks, and application instructions to help you find the right MLOps engineering role.
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