ML Ops Engineers Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with ...
ML Ops Engineers Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with ...
ML Ops Engineers Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with ...
ML Ops Engineers Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with ...
ML Ops Engineers Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with ...
ML Ops Engineers Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with ...
Summary : • Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (ML) /Deep Learning (DL) platform using ML/DL frameworks, High-Performance ...
Summary : • Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (ML) /Deep Learning (DL) platform using ML/DL frameworks, High-Performance ...
Min. 10+ Summary Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (Client) /Deep Learning (DL) platform using Client/DL frameworks, High ...
Min. 10+ Summary Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (Client) /Deep Learning (DL) platform using Client/DL frameworks, High ...
MLOps Engineer
New York, NY · On-site +1
As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the Data Science team and the Data Engineers and DevOps teams in order to deploy machine learning models.
MLOps Engineer
New York, NY · On-site +1
As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the Data Science team and the Data Engineers and DevOps teams in order to deploy machine learning models.
ML and ML Ops engineer
Keyport, NJ · On-site
ML And ML Ops Engineer We are looking for a talented ML / LLM Engineer with deep expertise in AWS ... In this role, you will design, develop, and deploy machine learning models and large language ...
ML and ML Ops engineer
Keyport, NJ · On-site
ML And ML Ops Engineer We are looking for a talented ML / LLM Engineer with deep expertise in AWS ... In this role, you will design, develop, and deploy machine learning models and large language ...
Machine Learning OP's Engineer - Lead (Hybrid)
Manhattan, NY · On-site
$112K - $148K/yr
We are seeking a Lead ML OPs Engineer who is a self-starter and can work independently to implement ... Staying up-to-date with the latest advancements in MLOps and machine learning. Level of experience ...
Machine Learning OP's Engineer - Lead (Hybrid)
Manhattan, NY · On-site
$112K - $148K/yr
We are seeking a Lead ML OPs Engineer who is a self-starter and can work independently to implement ... Staying up-to-date with the latest advancements in MLOps and machine learning. Level of experience ...
Senior ML Ops Engineer
$112K - $179K/yr
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...
Senior ML Ops Engineer
$112K - $179K/yr
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...
ML Ops Engineer Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role ...
ML Ops Engineer Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role ...
As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and ...
As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and ...
ML Ops Engineer, Machine Learning & AI
Manhattan, NY · Hybrid
$110K - $130K/yr
As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and ...
ML Ops Engineer, Machine Learning & AI
Manhattan, NY · Hybrid
$110K - $130K/yr
As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and ...
Role Description As the first ML Ops Engineer at Tennr, you'll play a crucial role in building and iterating on foundational Machine Learning and AI systems. You'll own building machine learning ...
Role Description As the first ML Ops Engineer at Tennr, you'll play a crucial role in building and iterating on foundational Machine Learning and AI systems. You'll own building machine learning ...
Machine-Learning Operations Engineer
New York, NY · On-site
$190K - $230K/yr
Role Description As the first ML Ops Engineer at Tennr, you'll play a crucial role in building and iterating on foundational Machine Learning and AI systems. You'll own building machine learning ...
Machine-Learning Operations Engineer
New York, NY · On-site
$190K - $230K/yr
Role Description As the first ML Ops Engineer at Tennr, you'll play a crucial role in building and iterating on foundational Machine Learning and AI systems. You'll own building machine learning ...
Machine-Learning Operations Engineer
Manhattan, NY · On-site
$76K - $103K/yr
As the first ML Ops Engineer, you will build and iterate on machine learning systems, ensuring efficient deployment and scalability of AI models to enhance patient care and provider operations.
Machine-Learning Operations Engineer
Manhattan, NY · On-site
$76K - $103K/yr
As the first ML Ops Engineer, you will build and iterate on machine learning systems, ensuring efficient deployment and scalability of AI models to enhance patient care and provider operations.
Azure Databricks Machine Learning Engineer LOCATION: Hybrid in NYC LinkedIn is must. Locals only ... Apply ML Ops best practices to ensure robust and scalable model deployment. * Deploy and manage ...
Quick apply
Azure Databricks Machine Learning Engineer LOCATION: Hybrid in NYC LinkedIn is must. Locals only ... Apply ML Ops best practices to ensure robust and scalable model deployment. * Deploy and manage ...
ML Ops Engineer, Machine Learning & AI
New York, NY · On-site
$110K - $130K/yr
As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and ...
ML Ops Engineer, Machine Learning & AI
New York, NY · On-site
$110K - $130K/yr
As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and ...
Machine Learning Engineer
Manhattan, NY · On-site
As a Machine Learning Senior Engineer, you will be involved in major architectural decisions and ... and Ops team • You will work on unique modeling challenges not covered in the scientific ...
Machine Learning Engineer
Manhattan, NY · On-site
As a Machine Learning Senior Engineer, you will be involved in major architectural decisions and ... and Ops team • You will work on unique modeling challenges not covered in the scientific ...
Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On ... Ops team * You will work on unique modeling challenges not covered in the scientific literature ...
Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On ... Ops team * You will work on unique modeling challenges not covered in the scientific literature ...
Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...
Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...
Machine Learning Ops Engineer information
See New York salary details
$34.5K - $50.6K
1% of jobs
$50.6K - $66.7K
1% of jobs
$66.7K - $82.8K
5% of jobs
$82.8K - $98.9K
6% of jobs
$112.2K is the 25th percentile. Wages below this are outliers.
$98.9K - $115K
14% of jobs
$115K - $131.1K
14% of jobs
The median wage is $139.2K / yr.
$131.1K - $147.2K
18% of jobs
$147.2K - $163.4K
14% of jobs
$166.7K is the 75th percentile. Wages above this are outliers.
$163.4K - $179.5K
12% of jobs
$179.5K - $195.6K
11% of jobs
$195.6K - $211.7K
5% of jobs
$34.5K
$140.9K
$211.7K
How much do machine learning ops engineer jobs pay per year?
As of Jun 10, 2026, the average yearly pay for machine learning ops engineer in New York is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 per year, depending on experience, location, and employer.
What is a Machine Learning Ops Engineer job?
A Machine Learning Ops Engineer (MLOps Engineer) focuses on deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and software engineering, ensuring models run efficiently, reliably, and at scale. Their responsibilities include automating workflows, managing infrastructure, and ensuring CI/CD pipelines for ML models. They work with tools like Kubernetes, Docker, and cloud platforms to streamline model deployment. Ultimately, an MLOps Engineer ensures that machine learning models are operationalized and continuously improved in a real-world environment.
What does a typical day look like for a Machine Learning Ops Engineer?
A typical day for a Machine Learning Ops Engineer involves collaborating with data scientists to streamline the deployment of models, building and maintaining scalable infrastructure on cloud services, and automating workflows with CI/CD tools. You may troubleshoot issues in production environments, monitor model performance, and implement solutions for model versioning and retraining. Often, you’ll work closely with software engineers, DevOps teams, and data analysts to ensure seamless integration of machine learning solutions into products. This cross-functional role keeps you engaged with cutting-edge technology and provides opportunities to influence both technical and business outcomes.
What are the key skills and qualifications needed to thrive in the Machine Learning Ops Engineer position, and why are they important?
To thrive as a Machine Learning Ops Engineer, you need a solid grasp of machine learning concepts, cloud platforms, software engineering, and DevOps practices, typically supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and certifications such as AWS Certified Machine Learning – Specialty are highly valuable. Strong problem-solving skills, communication, and the ability to work collaboratively across data science and engineering teams set top candidates apart. These skills ensure reliable deployment, scalability, and optimization of machine learning models in production environments.
What are the most commonly searched types of Machine Learning Ops Engineer jobs in New York? The most popular types of Machine Learning Ops Engineer jobs in New York are:
What are popular job titles related to Machine Learning Ops Engineer jobs in New York? For Machine Learning Ops Engineer jobs in New York, the most frequently searched job titles are:
- Remote Prototype Machinist
- Machine Learning Engineer From Home
- Machine Learning Engineer Biotech
- Internship Edge Ai Machine Learning
- Flexible Machine Learning Engineer Biotech
- Machine Learning Architect
- Google Cloud Machine Learning Engineer
- Remote Machine Learning Engineer
- Freelance Edge Ai Machine Learning
- Freelance Machine Learning Data Annotation
What job categories do people searching Machine Learning Ops Engineer jobs in New York look for? The top searched job categories for Machine Learning Ops Engineer jobs in New York are:
- 3D Machine Learning
- Seasonal Medical Imaging Machine Learning
- Machine Learning Engineer Hybrid
- Contract Apple Machine Learning Engineer
- Machine Learning Manager
- Machine Learning Petroleum Engineer
- Home Based Nvidia Machine Learning
- Urgently Hiring Machine Learning Startup
- No Experience Nvidia Machine Learning
- Junior Machine Learning
Other
Posted 6 days ago
Job description
ML Ops Engineers
Our client is a growing software company. Several key positions have opened because of this expansion including Machine Learning Ops Engineers at Senior and Principal levels with machine learning experience. These are hybrid positions in Monmouth County. If you have solid computer science fundamentals (data structures, algorithms, etc.) and experience with C or Python and Linux you may qualify for one of these exceptional opportunities.
The ML Ops Engineer roles involve deploying, managing, and optimizing machine learning systems and pipelines, with a focus on ransomware acquisition and analysis operations. Key responsibilities include managing cloud services, data pipelines, and system administration tasks while collaborating with cross-functional teams to ensure seamless integration of ML models. Proficiency in Python, shell scripting, VMware administration, and data analysis is essential. Strong problem-solving, communication, and teamwork skills, along with experience in ML model deployment and pipeline management, are critical for success in this role. Full job description is available.
Requirements include: BS, MS or PhD in CS, CE, EE, Math, or other technical discipline; Machine Learning Ops knowledge; a few years of software development; team player with great interpersonal skills; desire to contribute and learn.