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Remote Machine Learning Engineer Jobs in Englewood, OH

NewGen Technologies Inc.

DevOps Engineer III

Beavercreek, OH · Remote

$49 - $67/hr

Ensure all virtual machines and platform resources are properly configured to send telemetry and ... Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Englewood, OH

Remote Machine Learning Engineer information

See Englewood, OH salary details

$28.6K

$117.1K

$175.9K

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

As of Sep 7, 2026, the average yearly pay for remote machine learning engineer in Englewood, OH is $117,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $140,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Englewood, OH?

The most popular types of Machine Learning Engineer jobs in Englewood, OH are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Englewood, OH?

For Remote Machine Learning Engineer jobs in Englewood, OH, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Englewood, OH look for?

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What cities near Englewood, OH are hiring for Remote Machine Learning Engineer jobs?

Cities near Englewood, OH with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you

Senior Remote Sensing OPIR Engineer - #896

Allen Integrated Solutions

Dayton, OH • On-site, Remote

$101K - $139K/yr

Full-time

Posted 11 days ago

Job description

Senior Remote Sensing OPIR Engineer - #896
Clearance Required: TS/SCI
Minimum Years' Experience: 12 years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or related mission areas
Dayton, Ohio - 100% onsite
Overall Assignment Description:
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Allen Integrated Solutions is seeking a highly skilled Senior Remote Sensing Engineer to support National Air and Space Intelligence Center (NASIC) mission areas involving infrared sensing, space-based missile warning systems, sensor modeling, advanced data exploitation, and algorithm development. The ideal candidate will possess a strong technical background in electro-optical/infrared (EO/IR) systems engineering, infrared phenomenology, Overhead Persistent Infrared (OPIR) data analysis, and software development for sensor exploitation.
This role requires demonstrated experience working with complex sensor systems, developing and testing advanced analytical capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.
Responsibilities
  • Conduct analysis, exploitation, and modeling of infrared and OPIR sensor data, including Space-Based Infrared System (SBIRS) data.
  • Develop, prototype, and implement advanced data-processing algorithms using Python, MATLAB, and other analytical environments.
  • Investigate sensor and target phenomenology and develop test plans, sensor-collection scenarios, and experiments to address complex detection and tracking challenges.
  • Evaluate and troubleshoot data-processing workflows, identify anomalies or software-logic issues, and coordinate remediation strategies.
  • Support the development of concepts of operations (CONOPS), white papers, technical documentation, and transition plans for emerging sensor capabilities and processing architectures.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies to evaluate and integrate emerging sensing and exploitation technologies.
Required Qualifications
  • Active TS/SCI clearance.
  • Master's degree in physics, computer engineering, space systems, or a related technical field.
  • At least 12 years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or related mission areas.
  • Demonstrated experience with OPIR data formats, processing workflows, or SBIRS exploitation tools.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software-logic problems.
Desired Qualifications
  • Ph.D. in physics, computer engineering, space systems, or a related technical field.
  • Experience collaborating with NASIC or other Intelligence Community organizations.

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