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Entry Level Google Cloud Machine Learning Engineer Jobs in Melbourne, FL

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

Nextiny

Entry Level Digital Marketer

Melbourne, FL · On-site

Learn and work with marketing platforms such as HubSpot, Google Analytics, and social media tools ... learning, we encourage you to apply! All candidates must be Florida residents.

Extant Aerospace

Cybersecurity Engineer

Melbourne, FL · On-site

Familiarity with Microsoft 365 GCC-High or equivalent government cloud environments * Experience ... You will join a collaborative, mission-driven team that prioritizes innovation, continuous learning ...

Extant Aerospace

Cybersecurity Engineer

Melbourne, FL

Familiarity withMicrosoft 365 GCC-Highor equivalent government cloud environments * Experience with ... You will join a collaborative, mission-driven team that prioritizes innovation, continuous learning ...

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All JobsGoogle Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer Jobs in Melbourne, FL

Entry Level Google Cloud Machine Learning Engineer information

See Melbourne, FL salary details

$27.8K

$64.3K

$109.4K

How much do entry level google cloud machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level google cloud machine learning engineer in Melbourne, FL is $64,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $72,800.00 per year, depending on experience, location, and employer.

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Entry Level Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Entry Level Google Cloud Machine Learning Engineer job openings in Melbourne, FL as of June 2026, with employment types broken down into 49% Full Time, 29% Part Time, 20% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $64,293 per year, or $30.9 per hour.

Machine Learning Engineer

ENSCO, Inc.

Melbourne, FL

Full-time

Re-posted 24 days ago

Job description

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 3 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        Provide mentorship to junior ML engineers.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
         The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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