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Senior Machine Learning Engineer Jobs in Florida, NY

Chefman

MLOps Engineer / DevOps Engineer

Mahwah, NJ · On-site

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... From machine learning and computer vision to Generative AI applications, our success depends on ...

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

They are seeking a Data Scientist to work on data extraction, processing, and applying machine learning techniques to large datasets. The role requires strong programming skills and the ability to ...

WilsonCTS

Senior Manufacturing Engineer

Mahwah, NJ

$72 - $76/hr

Senior Manufacturing Engineer Employment Type: 18-month contract Work Location: Mahwah, New Jersey ... machines, equipment, tools, engines, and manufacturing systems. This role will help ensure ...

Motorola

Director of Computer Vision

Florida, NY

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... distributed engineering and research organization of 50 to 100 people, mentor senior technical ...

Navtech, Inc.

Senior Application Developer (C++)

Ramsey, NJ · On-site

$95K - $131K/yr

... and self-learning. What we like to see: • Experience with Glib, GObject, GTK+, MinGW. • ... Virtual Machines. • Knowledge of configuring and maintaining Microsoft Active Directory. • ...

Totalwine

Sr. Software Engineer, Mobile App

Florida, NY · On-site

$137K - $171K/yr

As a senior team member, you will mentor junior engineers, share best practices, and help ... Excellent problem-solving, debugging, and analytical skills with a proactive, learning-oriented ...

Volvo Group

AI Product Manager

Mahwah, NJ · On-site

$105K - $195K/yr

... engineering, and real-world application across customer, retailer, and operational experiences ... of machine learning, advanced analytics, and Generative AI including large language models ...

Volvo Car USA

AI Product Manager

Mahwah, NJ · On-site

$105K - $195K/yr

... engineering, and real-world application across customer, retailer, and operational experiences ... of machine learning, advanced analytics, and Generative AI including large language models ...

HYTORC

Senior Buyer

Mahwah, NJ

$85K - $110K/yr

General Purpose The Senior Buyer is a senior-level Procurement professional responsible for ... machinery, or engineered products environments preferred. * Demonstrated experience managing ...

HYTORC

Senior Buyer

Mahwah, NJ

$85K - $110K/yr

General Purpose The Senior Buyer is a senior-level Procurement professional responsible for ... machinery, or engineered products environments preferred. * Demonstrated experience managing ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Florida, NY

Senior Machine Learning Engineer information

See Florida, NY salary details

$61.2K

$130.2K

$188.8K

How much do senior machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior machine learning engineer in Florida, NY is $130,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $147,700.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Florida, NY are hiring for Senior Machine Learning Engineer jobs? Cities near Florida, NY with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

MLOps Engineer / DevOps Engineer

Chefman

Mahwah, NJ • On-site

$53 - $72.50/hr

Full-time

Re-posted 16 days ago

Job description

MLOps Engineer / DevOps Engineer

*Candidates must be legally authorized to work in the United States on a permanent and ongoing basis without the need for current or future employer-sponsored visa support, including H-1B, OPT, STEM OPT, or any other work authorization requiring sponsorship. Applications from candidates requiring sponsorship now or in the future will not be considered.

In 2020, we launched CHEF iQ, an ecosystem of connected kitchen appliances designed to transform how people cook and connect through food. Our mission is to make great cooking effortless through intelligent technology, guided experiences, and seamless integration between hardware, software, and AI. As CHEF iQ continues to expand its AI capabilities, we are building the infrastructure and platforms that will power the next generation of connected cooking experiences. From machine learning and computer vision to Generative AI applications, our success depends on scalable, reliable systems that enable rapid innovation and deployment.
 
We are seeking a highly detail-oriented MLOps / DevOps Engineer to serve as a critical partner to our Machine Learning Engineer, building and maintaining the cloud infrastructure, deployment pipelines, automation frameworks, and operational foundations that support AI development at scale. This individual will play a key role in improving engineering efficiency, increasing system reliability, and ensuring our AI-powered products can be developed, deployed, and scaled successfully.
 
The ideal candidate is passionate about automation, process improvement, and building highly scalable systems. They enjoy creating order from complexity, eliminating operational bottlenecks, and enabling teams to move faster. Experience supporting AI, machine learning, and Generative AI applications in production environments is required.
 
Role and Responsibilities
  • Design, implement, and maintain scalable AWS cloud infrastructure supporting software, AI, and machine learning applications.
  • Create and manage MLOps infrastructure for model training, deployment, monitoring, versioning, and lifecycle management.
  • Partner closely with the Machine Learning Engineer to establish the tools, workflows, and infrastructure required for successful AI development and deployment.
  • Support Generative AI initiatives by building infrastructure and deployment frameworks for applications utilizing AWS Bedrock, foundation models, LLMs, and related AI services.
  • Build and manage Infrastructure as Code (IaC) using Terraform to ensure repeatable, secure, and scalable environments.
  • Implement monitoring, logging, observability, and alerting systems across software, infrastructure, and machine learning platforms.
  • Continuously identify opportunities to improve engineering processes, reduce manual effort, increase automation, and improve system reliability.
  • Develop and maintain CI/CD pipelines that enable rapid, reliable software and machine learning deployments.
  • Optimize cloud environments for scalability, performance, availability, and cost efficiency.
  • Support security, compliance, backup, disaster recovery, and operational best practices across all environments.
  • Troubleshoot infrastructure, deployment, and application issues across development, testing, and production environments.
  • Document infrastructure architecture, deployment processes, operational procedures, and engineering standards.
  • Contribute to establishing best practices for DevOps, MLOps, cloud architecture, and AI operations.
 
Qualifications

Please Note: Chefman is unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States on a permanent and ongoing basis without the need for current or future employer-sponsored visa support, including H-1B, OPT, STEM OPT, or any other work authorization requiring sponsorship. Applications from candidates requiring sponsorship now or in the future will not be considered.

  • 5+ years of experience in MLOps, DevOps, Site Reliability Engineering (SRE), Platform Engineering, or related software engineering roles.
  • Strong hands-on experience with AWS services and cloud-native architecture.
  • Experience building and supporting AI and machine learning platforms in AWS environments.
  • Experience supporting AI, machine learning, and Generative AI applications in production environments.
  • Experience working with AWS Bedrock, Generative AI services, foundation models, LLM-powered applications, or related AI infrastructure.
  • Strong experience implementing Infrastructure as Code using Terraform.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong experience building and maintaining CI/CD pipelines and deployment automation.
  • Experience supporting machine learning workflows, model deployment, monitoring, and MLOps platforms.
  • Strong programming and scripting skills in Python, Bash, or similar languages.
  • Experience with monitoring, logging, observability, and operational tooling.
  • Strong troubleshooting, systems-thinking, and problem-solving abilities.
  • Excellent communication and cross-functional collaboration skills.
  • Proven track record of improving engineering processes, increasing operational efficiency, and scaling software platforms.
  • Highly organized and detail-oriented with a passion for automation and continuous improvement.
 
Preferred Qualifications
  • Experience with vector databases, retrieval-augmented generation (RAG), model serving, and AI infrastructure.
  • Experience supporting connected devices, IoT platforms, embedded systems, or consumer technology products.
  • Domain expertise in machine learning infrastructure, AI platforms, consumer applications, connected products, or similar technology environments.
  • Experience working in fast-paced startup or high-growth product organizations.

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