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Machine Learning Engineer Opt Jobs in Edgewater, FL

Deloitte

Cyber - Google Cloud Security - Manager

Lake Mary, FL · On-site

$97K - $131K/yr

... machine learning security, container security, data protection, monitoring, and secure delivery ... Serving as the primary day-to-day client contact, driving outcomes across engineering, security ...

ABB

Cold Form Operator - Trainee

Ormond Beach, FL · On-site

$14.25 - $17.25/hr

Trainee position includes learning all technical skill necessary listed below. Trainee will be ... Uses own judgement to adjust and/or set-up a machine/manufacturing process producing a quality part ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Edgewater, FL

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:

Machine Learning Engineer Opt jobs near you

Vice President, Full-Stack Engineer

Lake Mary, FL • On-site

BNY Mellon
Finance and Insurance • 10K+ employees
Learn more about BNY Mellonexternal

$80K/yr

Full-time

Re-posted 3 days ago

BNY Mellon rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

Job description


At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the centre of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.
We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.
We're seeking a future team member for the role of Vice President, Full-Stack Engineer to join our team. This role is located in Lake Mary, FL.
In this role, you'll make an impact in the following ways:
  • Develop and maintain backend services and build and integrate frontend components.
  • Design and optimize relational and NoSQL databases; implement stored procedures, partitioning and data modeling.
  • Use Docker and Kubernetes for containerization; apply CI/CD best practices to streamline deployments and enforce code quality.
  • Collaborate on API design and integration, ensuring secure and efficient inter-process communication.
  • Participate in code reviews and change control processes, with a focus on performance, memory tuning, and maintainability.
  • Support data initiatives by enabling access to large datasets, integrating with analytics tools, and contributing to data documentation and reporting.
  • Develop and maintain data visualization dashboards and ensure responsive, cross-browser compatible UI experiences.
  • Collaborate with stakeholders to deliver projects end to end.
  • Work with other engineers to elevate technology and follow best practices. Collaborate with the team on overall efforts.

To be successful in this role, we're seeking the following:
  • Bachelor's degree in computer science engineering or related discipline, or equivalent work experience.
  • 5-7 years of professional software development experience across backend and frontend technologies.
  • Proficiency in Java (Java 8+), Spring Boot, REST APIs, and microservices architecture.
  • Experience with frontend frameworks such as Angular, RxJS, Material and Bootstrap.
  • Strong database experience with Oracle and MongoDB, including data modeling, query optimization, aggregation pipelines, and stored procedures.
  • Familiarity with containerization and cloud environments (e.g Docker and Kubernetes).
  • Understanding of CI/CD processes, code reviews and secure coding practices.
  • Ability to work with APIs for integration and communication across systems.
  • Skilled in scripting and tooling - experience with Linux scripting, AppDynamics, DBeaver, Swagger and virtual data modelling is preferred.
  • Comfortable operating across the full development lifecycle - from designing backend logic to building and integrating user interfaces.
  • Exposure to Snowflake, Data Science and Analytics is a plus - experience with large dataset analysis, machine learning model deployment, and reporting is highly valued.
  • Not require sponsorship for employment visa status (now or in the future) in the region where they apply

At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn
Here's a few of our recent awards:
  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNYis an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $80,000 and $168,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance and market factors.

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About BNY Mellon

Sourced by ZipRecruiter

BNY Mellon is a global investments company dedicated to helping its clients manage and service their financial assets throughout the investment lifecycle. Whether providing financial services for institutions, corporations or individual investors, BNY Mellon delivers informed investment and wealth management and investment services in 35 countries. As of Dec. 31, 2021, BNY Mellon had $46.7 trillion in assets under custody and/or administration, and $2.4 trillion in assets under management. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK). Additional information is available on www.bnymellon.com . Follow us on Twitter @BNYMellon or visit our newsroom at www.bnymellon.com/newsroom for the latest company news.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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