Junior Machine Learning Engineer

ENSCO, Inc.; Melbourne (FL); On-site; USD 65,499 - 106,620; Full time

Job summary

ENSCO, Inc. is seeking a Junior Machine Learning Engineer in Melbourne, Florida. This role involves building and deploying ML and DL solutions while collaborating with senior scientists to solve complex problems.

The ideal candidate will have a Bachelor’s degree in a relevant field and at least 2 years of industry experience in machine learning, data science, and analytics. This position offers a hybrid work environment and a salary range of $65,499.20 to $106,620.80 USD.

Qualifications

• Minimum of 2 years of industry experience in machine learning and data science.
• Proven track record of successful data science and algorithm implementation.
• Experience with large data sets and information extraction.

Responsibilities

• Build and deploy machine learning and deep learning solutions.
• Work closely with senior scientists to understand complex problem sets.
• Perform signal processing, data fusion, and feature extraction.

Skills

Machine Learning

Data Science

Python

Linux Programming

Deep Learning (PyTorch, TensorFlow)

Education

Bachelor’s degree in Machine Learning or related

Master’s or Ph.D. preferred

Tools

Kubernetes

Docker

Job description

For more than 50 years, ENSCO has been providing leading‑edge engineering, science and advanced technology solutions to governments and private industries worldwide.

ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience in building and deploying machine learning (ML) and deep learning (DL) solutions. The role requires working closely with senior scientists to understand complex problem sets, perform signal processing, data fusion, and feature extraction, and design well‑controlled experiments to assess algorithm performance.

Qualifications Required

• Bachelor’s degree in Machine Learning, Data Science, Mathematics, or related discipline. Direct relevant military experience will also be considered.
• Minimum of 2 years of industry experience in machine learning, data science, and analytics.
• Proven track record of successful data science and algorithm implementation.
• Self‑starter with excellent oral and written communication skills.
• Experience navigating and programming within a Linux environment.
• Experience working with structured and unstructured databases.
• Advanced proficiency with data science languages such as Python and Matlab.
• Demonstrated experience with deep learning frameworks such as PyTorch, TensorFlow/Keras, scikit‑learn, and MXNet.
• Experience working with large data sets and extracting relevant information.
• Ability to obtain and maintain a U.S. security clearance (U.S. citizen required).

Qualifications Desired

• Master’s or Ph.D. degree in Machine Learning, Data Science, Mathematics, or related field.
• Experience with ML/DL algorithms that extract signal from noise.
• Past experience developing solutions using disparate data sets through ML techniques.
• DevOps experience involving CI/CD pipelines to build and deploy.
• Experience with container orchestration technologies such as Docker and Kubernetes.
• 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

Salary Range: $65,499.20 – $106,620.80 USD

Real ID Requirement: May require access to U.S. federal facilities. Applicants must present a REAL ID‑compliant identification or an acceptable alternative as of May 7, 2025.

Export Control and Licensing: The position may involve access to technology or technical data under U.S. export control laws and regulations; release to a non‑U.S. person may require an export license.

ENSCO, Inc. and its wholly owned U.S. subsidiaries are Equal Opportunity Employers – Veterans, Disabled, and all other protected classes.