ML Ops Engineer
Berkeley Heights, NJ · On-site
Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning and Deep Learning platform for their data and analytics organization. The role ...
ML Ops Engineer
Berkeley Heights, NJ · On-site
Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning and Deep Learning platform for their data and analytics organization. The role ...
ML Ops Engineer
Berkeley Heights, NJ · On-site
Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning platform. The role involves working with data scientists and engineers to implement ...
ML Ops Engineer
Berkeley Heights, NJ · On-site
Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning platform. The role involves working with data scientists and engineers to implement ...
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.
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 ...
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
Manhattan, NY · On-site
$110 - $130/hr
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 · On-site
$110 - $130/hr
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
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...
Quick apply
We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Senior Dev Ops Engineer
Manhattan, NY · On-site
$160 - $220/hr
You'll be our first full-time Dev Ops Engineer , so we'll look to you for leadership on how to ... Our data pipeline, machine learning training platform, and web app could all benefit from further ...
Senior Dev Ops Engineer
Manhattan, NY · On-site
$160 - $220/hr
You'll be our first full-time Dev Ops Engineer , so we'll look to you for leadership on how to ... Our data pipeline, machine learning training platform, and web app could all benefit from further ...
Senior Dev Ops Engineer
Manhattan, NY · On-site
$160 - $220/hr
You'll be our first full-time Dev Ops Engineer , so we'll look to you for leadership on how to ... Our data pipeline, machine learning training platform, and web app could all benefit from further ...
Senior Dev Ops Engineer
Manhattan, NY · On-site
$160 - $220/hr
You'll be our first full-time Dev Ops Engineer , so we'll look to you for leadership on how to ... Our data pipeline, machine learning training platform, and web app could all benefit from further ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Machine Learning Engineer
Manhattan, NY · On-site
$125/hr
REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...
Machine Learning Engineer
Manhattan, NY · On-site
$125/hr
REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...
Machine Learning Engineer
New York, NY · On-site
About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...
Machine Learning Engineer
New York, NY · On-site
About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...
About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...
About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...
Job Summary: * We are seeking a Senior Data Science Engineer to design, build, and scale data ... Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.
Quick apply
Job Summary: * We are seeking a Senior Data Science Engineer to design, build, and scale data ... Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Manhattan, NY · On-site +1
$112K - $148K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
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 Sep 5, 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?
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 machine learning ops engineer do?
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 skills and qualifications are needed to be a machine learning ops engineer?
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.
Are machine learning ops engineers in demand?
Machine Learning Ops Engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Kubernetes and TensorFlow. The role is expected to grow as organizations prioritize AI-driven solutions and infrastructure automation.
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:
- Machine Learning Ai Developer
- Urgently Hiring Machine Learning Engineer New Grad
- Machine Learning Engineer
- Llm Ml Rag
- Machine Learning Engineer Biotech
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer New Grad
- Trainee Software Engineer Relocation
- Machine Learning Engineer Intern
- Google Cloud Machine Learning Engineer
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:
Job description
Job Summary:
Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning and Deep Learning platform for their data and analytics organization. The role involves working with cutting-edge technologies and collaborating with various teams to implement scalable solutions in both cloud and on-premises environments.
Responsibilities:
• Build, install, configure, manage, and scale state-of-the-art machine learning platform in cloud (Azure preferred) & on-premises powering client's Data & Analytics products and solutions.
• Work with data scientists, architects, DevOps engineers, and vendors to implement scalable Client/DL solutions in cloud and on-premises to solve complex problems.
• Creating & maintaining Client/DL pipelines and overall Client/DL workflow orchestration including but not limited to data collection, prep, transform, analyze, experiment, train, validate, serve, monitor, etc.
• Implement Client/DL solutions addressing performance, scalability, and the governance/ traceability of machine learning models
• Iterate quickly through latest technologies, products, frameworks, and R&D on latest information related to Client/DL frameworks, tools & services.
Qualifications:
Required:
• 4+ years' experience delivering DevOps and MLOps in a Production/Enterprise setting
• Bachelor's degree required
• Excellent written and oral communication and presentation skills.
• Experienced in a technical role involving platform and infrastructure operation.
• System administration experience of Unix or Linux systems.
• Container-based deployment experience using Docker and Kubernetes.
• Proficient with the machine learning modelling lifecycle and comfortable addressing both functional and technical aspects of model delivery
• Experience with managing, deployment of large distributed systems like Spark, DASK & H20 and heterogenous platform components.
• Experienced with programming languages like Python or R and comfortable in understanding statistical foundations of most used Client algorithms.
• Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc.
Preferred:
• Masters preferred in Computer Science or Data Science
• Preferred hand-on experience IBM Watson Machine Learning systems or related
• Preferred hands-on experience with HPC – Nvidia, CUDA
• Preferred experience with configuration Management tools like Ansible, puppet
• Preferred experience in monitoring and performance analysis of Machine Learning platforms using tools like Grafana and Zabbix.
Company:
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space. Founded in 2010, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning and Deep Learning platform for their data and analytics organization. The role involves working with cutting-edge technologies and collaborating with various teams to implement scalable solutions in both cloud and on-premises environments.
Responsibilities:
• Build, install, configure, manage, and scale state-of-the-art machine learning platform in cloud (Azure preferred) & on-premises powering client's Data & Analytics products and solutions.
• Work with data scientists, architects, DevOps engineers, and vendors to implement scalable Client/DL solutions in cloud and on-premises to solve complex problems.
• Creating & maintaining Client/DL pipelines and overall Client/DL workflow orchestration including but not limited to data collection, prep, transform, analyze, experiment, train, validate, serve, monitor, etc.
• Implement Client/DL solutions addressing performance, scalability, and the governance/ traceability of machine learning models
• Iterate quickly through latest technologies, products, frameworks, and R&D on latest information related to Client/DL frameworks, tools & services.
Qualifications:
Required:
• 4+ years' experience delivering DevOps and MLOps in a Production/Enterprise setting
• Bachelor's degree required
• Excellent written and oral communication and presentation skills.
• Experienced in a technical role involving platform and infrastructure operation.
• System administration experience of Unix or Linux systems.
• Container-based deployment experience using Docker and Kubernetes.
• Proficient with the machine learning modelling lifecycle and comfortable addressing both functional and technical aspects of model delivery
• Experience with managing, deployment of large distributed systems like Spark, DASK & H20 and heterogenous platform components.
• Experienced with programming languages like Python or R and comfortable in understanding statistical foundations of most used Client algorithms.
• Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc.
Preferred:
• Masters preferred in Computer Science or Data Science
• Preferred hand-on experience IBM Watson Machine Learning systems or related
• Preferred hands-on experience with HPC – Nvidia, CUDA
• Preferred experience with configuration Management tools like Ansible, puppet
• Preferred experience in monitoring and performance analysis of Machine Learning platforms using tools like Grafana and Zabbix.
Company:
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space. Founded in 2010, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Keylent
Sourced by ZipRecruiter
Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.
Industry
Internet and it
Company size
11 - 50 Employees
Headquarters location
Wilmington, DE, US
Year founded
2010