ML Ops Engineer
Tampa, FL · On-site
They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.
ML Ops Engineer
Tampa, FL · On-site
They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.
Machine Learning Engineer
Melbourne, FL · On-site
$73K - $131K/yr
Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Regular Full-time Background Check Type: 7 Year Pre-Employment Drug Screen Required: None Position ...
Machine Learning Engineer
Melbourne, FL · On-site
$73K - $131K/yr
Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Regular Full-time Background Check Type: 7 Year Pre-Employment Drug Screen Required: None Position ...
Machine Learning Engineer
Boca Raton, FL · On-site
We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging ...
Machine Learning Engineer
Boca Raton, FL · On-site
We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging ...
We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging ...
We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging ...
Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. This role will focus on ...
Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. This role will focus on ...
Machine Learning Engineer
Sarasota, FL · On-site
Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. This role will focus on ...
Machine Learning Engineer
Sarasota, FL · On-site
Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. This role will focus on ...
Junior Machine Learning Engineer
Melbourne, FL · On-site
$65K - $106K/yr
Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct ... Regular Full-time Background Check Type: 7 Year Pre-Employment Drug Screen Required: None Position ...
Junior Machine Learning Engineer
Melbourne, FL · On-site
$65K - $106K/yr
Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct ... Regular Full-time Background Check Type: 7 Year Pre-Employment Drug Screen Required: None Position ...
Silverthorne Advisory Group is seeking a Mid Machine Learning Engineer to support DoD program offices. The role involves training, testing, deploying, and maintaining machine learning models while ...
Silverthorne Advisory Group is seeking a Mid Machine Learning Engineer to support DoD program offices. The role involves training, testing, deploying, and maintaining machine learning models while ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Orlando, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Orlando, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Fort Myers, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Fort Myers, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Melbourne, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Melbourne, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Engineer
Tampa, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Tampa, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Tallahassee, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Tallahassee, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Hialeah, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Hialeah, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Miami, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Miami, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Full Time Machine Learning Ops Engineer information
Will MLE be replaced by AI?
Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models. AI tools may augment their work, but the role requires expertise in data science, programming, and system integration that cannot be fully replaced by AI itself.
How much do MLOps engineers make?
MLOps engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and expertise in tools like Kubernetes, Docker, and cloud platforms. Senior roles or those with specialized skills can exceed $180,000 per year.
What is the difference between Full Time Machine Learning Ops Engineer vs Data Scientist?
| Aspect | Full Time Machine Learning Ops Engineer | Data Scientist |
|---|---|---|
| Primary focus | Deploying, maintaining, and optimizing ML models in production environments | Analyzing data, building models, and deriving insights |
| Required skills | Machine learning deployment, cloud platforms, scripting, DevOps practices | Statistical analysis, data visualization, programming (Python/R) |
| Work environment | Production systems, cloud infrastructure, cross-functional teams | Research, data analysis, model development in labs or offices |
| Common certifications | Cloud certifications (AWS, GCP), ML Ops certifications | Data science certifications, statistical courses |
While both roles involve machine learning, the Full Time Machine Learning Ops Engineer focuses on deploying and maintaining models in production, requiring DevOps and cloud skills. Data Scientists primarily analyze data and develop models, often working in research settings. Understanding these differences helps in choosing the right career path or job focus.
What engineer makes $500,000 a year?
A senior or lead machine learning operations (MLOps) engineer with extensive experience, specialized skills in deploying and maintaining machine learning systems, and working at large tech companies or in high-demand industries can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.
Are MLOps engineers in demand?
MLOps engineers are in high demand due to the increasing adoption of machine learning models in various industries. Companies seek professionals skilled in deploying, monitoring, and maintaining ML systems using tools like Docker, Kubernetes, and cloud platforms, making this a growing and competitive field for job seekers.
What are the most commonly searched types of Machine Learning Ops Engineer jobs in Florida? The most popular types of Machine Learning Ops Engineer jobs in Florida are:
What are popular job titles related to Full Time Machine Learning Ops Engineer jobs in Florida? For Full Time Machine Learning Ops Engineer jobs in Florida, the most frequently searched job titles are:
- Machine Learning Ai Developer
- Machine Learning Engineer From Home
- Manager Machine Learning Finance
- Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Deep Learning Engineer
- Senior Machine Learning Engineer
- Remote Senior Machine Learning Engineer
- Manager Remote Machine Learning Engineer
- Work From Home Data Engineer
What job categories do people searching Full Time Machine Learning Ops Engineer jobs in Florida look for? The top searched job categories for Full Time Machine Learning Ops Engineer jobs in Florida are:
- Contract Apple Machine Learning Engineer
- Principal Machine Learning Engineer
- Junior Machine Learning Compiler Engineer
- Director Google Machine Learning Engineer
- Reinforcement Learning Engineer
- Home Based Python Machine Learning
- Freelance Machine Learning Compiler Engineer
- Weekend Machine Learning
- Senior Meta Machine Learning
- Temporary Nvidia Autonomous Driving
What cities in Florida are hiring for Full Time Machine Learning Ops Engineer jobs? Cities in Florida with the most Full Time Machine Learning Ops Engineer job openings:
Job description
Job Summary:
Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development, headquartered in McLean, VA. They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.
Responsibilities:
• Collaborate with a cross-functional data team comprising AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
• Design, build, and maintain the infrastructure and pipelines that enable Machine Learning model training, deployment, and scaling.
• Manage distributed workloads across GPU-enabled Kubernetes clusters and ensure efficient resource orchestration between training and inference operations.
Qualifications:
Required:
• 3+ years of relevant hands-on experience
• Experience building and maintaining machine learning pipelines
• Strong Python skills for defining and maintaining ML pipelines
• Practical experience with PyTorch (TensorFlow experience acceptable)
• Airflow for job orchestration, particularly managing resources between training and inference workloads
• Strong Kubernetes experience including managing local clusters, running different flavors, and managing custom resource definitions
• Istio networking experience in Kubernetes environments
• Experience working with MinIO object storage
• Must have hands-on experience running GPU workloads on Kubernetes
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Active TS with ability to obtain and maintain SCI
Preferred:
• CENTCOM or DoD experience
• Experience with time slicing GPUs on Kubernetes
• Exposure to computer vision and/or large imagery formats such as NITF
• Publications or GitHub repos showcasing your skills
• Experience with Docker and container orchestration best practices
Company:
A niche consulting organization focused on Cloud Native, DevSecOps, and Modern Application Development for mission focused enterprises Founded in 2018, the company is headquartered in Reston, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development, headquartered in McLean, VA. They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.
Responsibilities:
• Collaborate with a cross-functional data team comprising AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
• Design, build, and maintain the infrastructure and pipelines that enable Machine Learning model training, deployment, and scaling.
• Manage distributed workloads across GPU-enabled Kubernetes clusters and ensure efficient resource orchestration between training and inference operations.
Qualifications:
Required:
• 3+ years of relevant hands-on experience
• Experience building and maintaining machine learning pipelines
• Strong Python skills for defining and maintaining ML pipelines
• Practical experience with PyTorch (TensorFlow experience acceptable)
• Airflow for job orchestration, particularly managing resources between training and inference workloads
• Strong Kubernetes experience including managing local clusters, running different flavors, and managing custom resource definitions
• Istio networking experience in Kubernetes environments
• Experience working with MinIO object storage
• Must have hands-on experience running GPU workloads on Kubernetes
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Active TS with ability to obtain and maintain SCI
Preferred:
• CENTCOM or DoD experience
• Experience with time slicing GPUs on Kubernetes
• Exposure to computer vision and/or large imagery formats such as NITF
• Publications or GitHub repos showcasing your skills
• Experience with Docker and container orchestration best practices
Company:
A niche consulting organization focused on Cloud Native, DevSecOps, and Modern Application Development for mission focused enterprises Founded in 2018, the company is headquartered in Reston, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Raft
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Reston, VA, US
Year founded
2018