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Temporary Computer Vision Deep Learning Engineer Jobs in Rockledge, 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 ...

... machine learning, computer vision, and multimodal learning, focusing on advancing the Large ... Programming Proficiency: Strong programming skills in Python, with experience in deep learning ...

Title:- AI ML Engineer Location:- Orlando, FL(Onsite) Long Term Contract Required Skills ... Experience in machine learning and deep learning with Python. * Familiarity with Azure and cloud ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Sr. AI/ML Engineer

Orlando, FL

$97.60K - $134K/yr

Title: Sr. AI/ML Engineer Location: Orlando, FL (Onsite) Duration: Contract Rate: on W2 Only locals ... learning and deep learning with Python. · - Familiarity with Azure and cloud platforms. · ...

Bachelor's or Master's degree in Computer Science, Engineering, Geomatics, Physics, or a related ... Familiarity with 3D geometry, spatial analysis, and computer vision techniques. * Ability to ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

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Temporary Computer Vision Deep Learning Engineer information

See Rockledge, FL salary details

$42.3K

$106K

$119.9K

How much do temporary computer vision deep learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for temporary computer vision deep learning engineer in Rockledge, FL is $105,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $114,700.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Computer Vision Deep Learning Engineer vs Computer Vision Engineer?

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

Infographic showing various Temporary Computer Vision Deep Learning Engineer job openings in Rockledge, FL as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $105,987 per year, or $51 per hour.
Machine Learning Engineer

Machine Learning Engineer

ENSCO, Inc.

Cocoa Beach, FL • On-site

Other

Posted 8 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