Is on LinkedIn?
🔥 1 hour ago
Job not on LinkedIn
Senior MLOps/LLMOps Engineer at Citrin Cooperman developing automated pipelines for generative AI applications. Leading the deployment and management of AI evaluation infrastructure and monitoring.
🇺🇸 United States – Remote
💵 $155k - $195k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
AWS
Azure
Cloud
Docker
Kubernetes
Python
🔥 8 hours ago
Staff MLOps Engineer responsible for building infrastructure for AI/ML at NBCUniversal. Managing large media datasets, deploying models, and automating data pipelines.
🗣️🇫🇷 French Required
Airflow
Docker
Kubernetes
Python
Unix
🕒 4 days ago
Staff MLOps Engineer at NBCUniversal responsible for building infrastructure for large 2D and 3D media datasets. Design CI/CD pipelines and manage data lifecycle to enhance ML performance.
🗽 New York – Remote
💵 $220k - $260k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Airflow
Docker
Kubernetes
Python
Unix
🕒 4 days ago
201 - 500
Part-time Remote DevOps/MLOps Engineer at Scopic designing and maintaining scalable infrastructure and automation pipelines for machine learning workflows. Collaborating with engineering and data teams in a flexible work environment.
Ansible
AWS
Azure
Cloud
Docker
Google Cloud Platform
Jenkins
Kubernetes
Prometheus
Python
PyTorch
Scikit-Learn
Tensorflow
Terraform
Go
🕒 5 days ago
Staff MLOps Engineer at Cint owning AI/ML platform components and supporting Synthetic Data Platform initiatives. Collaborates globally while providing innovative ML solutions.
Java
Spring
Unity
🕒 June 20
Staff MLOps Engineer owning the AI/ML platform at Cint. Overseeing the Synthetic Data Platform and other AI/ML initiatives while collaborating globally.
AWS
Cloud
Google Cloud Platform
Java
Kubernetes
Python
Scala
Spark
Spring
Terraform
Unity
🕒 6 days ago
Job not on LinkedIn
Senior MLOps Engineer responsible for supporting ML operations in Clutch's production environment while collaborating with the data team.
AWS
Cloud
Docker
PySpark
Python
Terraform
TypeScript
🕒 6 days ago
Job not on LinkedIn
Senior MLOps & Generative AI Engineer at Sentara, advancing healthcare through machine learning and AI initiatives. Collaborate with various teams to operationalize AI solutions at enterprise scale.
🏈 Alabama, Florida, +23 more states – Remote
💵 $91.4k - $152.4k / year
⏰ Full Time
🟠 Senior
🗣️ LLM Engineer
AWS
Azure
Cloud
Cyber Security
Distributed Systems
Google Cloud Platform
Kubernetes
Microservices
Python
PyTorch
Tensorflow
🕒 June 22
MLOps Engineer building and operating machine learning lifecycle platform at dv01. Focused on deployment, monitoring, and infrastructure for reliable ML operations.
🇺🇸 United States – Remote
💵 $185k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Cloud
Kubernetes
Python
PyTorch
Terraform
Go
🕒 June 22
Senior ML / MLOps Engineer at Booksy working with Data Scientists on intelligent systems from prototype to production. Owning the end-to-end productionisation of machine learning work.
🇬🇧 United Kingdom – Remote
💰 $70M Series C on 2021-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Airflow
BigQuery
Cloud
Google Cloud Platform
Python
SQL
Terraform
🕒 June 19
Senior Machine Learning Operations Engineer building real-time inference systems for risk decisioning at Mercury. Leading deployment infrastructures and ensuring high availability for ML models in production.
🏄 California, New York, +1 more states – Remote
💵 $166.6k - $208.3k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
DynamoDB
Flask
Kafka
Python
Redis
SQL
🕒 June 16
Lead Machine Learning Operations Engineer at Paramount responsible for ML system reliability and observability. Collaborating across teams to ensure production ML model health and governance.
🏄 California, New York – Remote
💵 $157k - $235k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
SQL
🕒 June 16
Senior MLOps Engineer at Paramount developing the Agentic Systems Platform for autonomous agents. Focused on architecture, routing logic, and orchestration for multi-agent personalization systems.
🏄 California, New York – Remote
💵 $146.2k - $219.2k / year
⏰ Full Time
🟠 Senior
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
Kubernetes
🕒 June 13
Job not on LinkedIn
Senior MLOps Engineer building cloud-native ecosystem for AI-driven products at Wellhub. Evolve infrastructure, design internal tools, and ensure data culture transition towards self-service excellence.
AWS
Kubernetes
Python
Spark
Terraform
🕒 June 12
Staff ML Systems Engineer building and operating ML infrastructures for healthcare company's AI. Managing Kubernetes, CI/CD, and observability stacks within a regulated environment.
Assembly
Cloud
Docker
Kubernetes
Node.js
Python
Terraform
Unity
🕒 June 8
11 - 50
Staff/Principal MLOps Engineer enhancing data architecture for AI workforce solutions. Driving reliability and observability while collaborating within a data-centric team environment.
🇺🇸 United States – Remote
💵 $195k - $220k / year
💰 Seed Round on 2022-03
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
Cloud
🕒 June 5
Lead Machine Learning Operations Engineer at Paramount overseeing reliability and governance of ML systems. Focus on production health, incident response, and operational rigor.
🗽 New York – Remote
💵 $157k - $235k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
SQL
🕒 June 3
MLOps / Machine Learning Engineer building large-scale ML infrastructure for Deep Reinforcement Learning at GTO Wizard. Contributing to advanced machine learning systems for poker strategy insights.
Cloud
PyTorch
🕒 May 27
MLOps Engineer designing and deploying machine learning solutions for leading workforce solutions company at Shuru. Collaborates across teams to ensure models perform efficiently and effectively.
AWS
Azure
Cloud
Google Cloud Platform
Python
PyTorch
Tensorflow
🕒 May 27
MLOps Engineer designing and deploying machine learning solutions for leading workforce solutions company at Shuru. Collaborates across teams to ensure models perform efficiently and effectively.
AWS
Azure
Cloud
Google Cloud Platform
Python
PyTorch
Tensorflow
+47 More MLOps Engineer Jobs Available!
The average salary for remote mlops engineers is $161,800 per year. This is based on data from 182 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior MLOps Engineer (1-2 yrs) | 9 | $128,238 |
🟡 Mid-level MLOps Engineer (2-4 yrs) | 81 | $162,829 |
🟠 Senior MLOps Engineer (5-9 yrs) | 75 | $156,557 |
🔴 Lead MLOps Engineer (10+ yrs) | 17 | $197,796 |
We analyzed 138 job listings in the last year and found it takes about 45 days for employers to close a job opening.
We reviewed 182 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in Python or R, expertise in machine learning frameworks like TensorFlow or PyTorch, proficiency in cloud services (AWS, Azure, GCP), and knowledge of CI/CD practices. Familiarity with data pipelines, containerization (Docker, Kubernetes), and strong problem-solving skills are also important.
Typically, a degree in computer science, data science, or a related field is required. Experience with machine learning projects and a strong portfolio of work are often more important than formal education. Certifications in cloud platforms and MLOps methodologies can enhance your qualifications.
Responsibilities include deploying machine learning models, automating workflows, monitoring model performance, collaborating with data scientists and developers, and ensuring scalability and reliability of ML applications. You'll also need to maintain data integrity and adherence to best practices.
Benefits include flexibility in work hours, the ability to work from diverse locations, reduced commuting costs and time, and an enhanced work-life balance. Remote roles also provide opportunities to work with cutting-edge technologies and collaborate with a global talent pool.
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
We find jobs other job boards miss.
New jobs are constantly being posted. We check each company website multiple times a day to ensure we have the most up-to-date job listings.
Yes! We're always looking to expand our listings and appreciate any suggestions from our community. Just send an email to [email protected]. I read every request.
Remote Rocketship is a solo project by me, Lior Neu-ner. I built this website for my wife when she was looking for a job! She was having a hard time finding remote jobs, so I decided to build her a tool that would search the internet for her.
