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Machine Learning Engineer Opt Jobs in Edgewater, FL

Role: Software Engineer Type: Full-Time Location: Orlando, FL - Hybrid Reports to: Software ... Knowledge of artificial intelligence (AI) and machine learning (ML). * Knowledge of event driven ...

Role: Software Engineer Type: Full-Time Location: Orlando, FL - Hybrid Reports to: Software ... Knowledge of artificial intelligence (AI) and machine learning (ML). * Knowledge of event driven ...

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of ... Familiarity with machine learning or data science concepts and experience with data visualization ...

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of ... Familiarity with machine learning or data science concepts and experience with data visualization ...

AI Intern

Orlando, FL

$13 - $17.50/hr

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of ... Familiarity with machine learning or data science concepts and experience with data visualization ...

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of ... Familiarity with machine learning or data science concepts and experience with data visualization ...

... machine learning models. We are enhancing our team and looking for a Full-stack Engineer to work with us as we transform our Global Clearing group into a data driven organization. This group is ...

Ensures regular standard maintenance of the equipment, tools set-up, programming activities, and ... Leads their own development journey by seeking knowledge and learning opportunities within the team.

Work with other engineers to elevate technology and follow best practices. Collaborate with the ... analysis, machine learning model deployment, and reporting is highly valued. * Not require ...

Work with other engineers to elevate technology and follow best practices. Collaborate with the ... analysis, machine learning model deployment, and reporting is highly valued. * Not require ...

Showing results 21-40

Machine Learning Engineer Opt information

See Edgewater, FL salary details

$28.5K

$116.4K

$174.9K

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

As of Sep 10, 2026, the average yearly pay for machine learning engineer opt in Edgewater, FL is $116,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $140,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What cities near Edgewater, FL are hiring for Machine Learning Engineer Opt jobs?

Cities near Edgewater, FL with the most Machine Learning Engineer Opt job openings:

Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions

Lake Mary, FL • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Re-posted 23 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...

  • Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences
  • Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review
  • Developing and promoting standards across the community
  • Working with leadership and stakeholders to identify AI opportunities and promote strategy
  • Building and prioritizing backlog for future machine-learning enabled features to support client business processes

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience
  • 6+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras
  • 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.
  • 2+ years of understanding of machine learning algorithms, including supervised and unsupervised learning
  • Proven experience with with cloud-hyperscalers (AWS, Azure, GCP)
  • Proven experience with big data technologies, i.e Angular, React, NodeJS, C#, .Net, Java, Golang, SQL
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain the required clearance for this role 

Preferred:

  • 1+ years of experience supporting government or public sector data programs
  • Master's Degree in related technical discipline
  • Experience working with Agile delivery methods
  • Experience with Agentic AI development

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...

  • Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences
  • Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review
  • Developing and promoting standards across the community
  • Working with leadership and stakeholders to identify AI opportunities and promote strategy
  • Building and prioritizing backlog for future machine-learning enabled features to support client business processes

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience
  • 6+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras
  • 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.
  • 2+ years of understanding of machine learning algorithms, including supervised and unsupervised learning
  • Proven experience with with cloud-hyperscalers (AWS, Azure, GCP)
  • Proven experience with big data technologies, i.e Angular, React, NodeJS, C#, .Net, Java, Golang, SQL
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain the required clearance for this role 

Preferred:

  • 1+ years of experience supporting government or public sector data programs
  • Master's Degree in related technical discipline
  • Experience working with Agile delivery methods
  • Experience with Agentic AI development

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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