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Remote Machine Learning Engineer Jobs in Englewood, OH

CareSource

AI Developer (HealthCare Experience)

Dayton, OH · On-site +1

$94K - $164K/yr

The AI Developer plays a key role in designing, developing, and deploying intelligent solutions ... Train, validate, and fine-tune machine learning and deep learning models for optimal performance

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246717 Location: Dayton,OH,US Share job via: Share Data Scientist The ... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ...

NewGen Technologies

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

Proemion GmbH

Be Seen First

Sales Engineer (gn)

Dayton, OH · Remote

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We make machine data usable, reliable, and valuable across the entire organization. We are ... Personal learning and development budget and guidance Your Role * Work with the sales team to ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0242669 Location: Beavercreek,OH,US Share job via: Share DevOps ... You'll apply your skills within an AWS DevOps framework to establish or provision virtual machines ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246720 Location: Dayton,OH,US Share job via: Share DevOps Engineer ... You'll sharpen your skills within a DevOps framework to establish or provision virtual machines or ...

HumanIT Solutions

Cloud Automation Engineer

Beavercreek, OH · Remote

$57 - $76.25/hr

You enjoy solving complex technical challenges, working collaboratively, and continuously learning ... Work Location: Remote (U.S. based) with potential occasional client site visits Clearance ...

Booz Allen Hamilton, Inc.

Software Engineer

Dayton, OH · On-site +1

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244514 Location: Dayton,OH,US Share job via: Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end ...

Booz Allen Hamilton, Inc.

Software Engineer

Beavercreek, OH · On-site +1

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0242981 Location: Beavercreek,OH,US Share job via: Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a complete end ...

Tenet3

Program Manager/ Project Planner (Hybrid)

Dayton, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We develop software products involving advanced machine learning and property graph representations ... cybersecurity, and engineering change analyses. Why Work Here At Tenet3, our employee ...

LexisNexis

Presales Customer Success Consultant

Dayton, OH · On-site +1

$116K - $194K/yr

Experience in Solution Consulting, Sales Engineering, Technical Consulting, or a similar customer ... Familiarity with data pipelines, analytics, AI/GenAI, or machine learning workflows. * Ability to ...

LexisNexis

Presales Customer Success Consultant

Dayton, OH · On-site +1

$122K - $203K/yr

Experience in Solution Consulting, Sales Engineering, Technical Consulting, or a similar customer ... Familiarity with data pipelines, analytics, AI/GenAI, or machine learning workflows. * Ability to ...

RELX

Presales Customer Success Consultant

Dayton, OH · On-site +1

$122K - $203K/yr

Experience in Solution Consulting, Sales Engineering, Technical Consulting, or a similar customer ... Familiarity with data pipelines, analytics, AI/GenAI, or machine learning workflows. * Ability to ...

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Showing results 41-60

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 Aug 17, 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?

The top searched job categories for Remote Machine Learning Engineer jobs in Englewood, OH are:

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

AI Developer (HealthCare Experience)

CareSource

Dayton, OH • On-site, Remote

$94K - $164K/yr

Full-time

Re-posted 20 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

204th of 309 rated insurance

Job description

Job Summary:
The AI Developer plays a key role in designing, developing, and deploying intelligent solutions. This role is focused on solving complex business challenges through innovative AI technologies and will collaborate closely with cross-functional teams to ensure timely and high-quality delivery of solutions aligned with defined objectives.
DS/Gen/Agentic AI resources with good hands-on skills on:
  • Current Advancements: Generative AI, Agentic AI, LLM fine-tuning, RAG, GraphRAG, Vector databases, Knowledge Graph, Langchain, Langgraph, etc
  • Model Deployment: MLOPs pipeline, CI/CD, Model Deployment, Docker, Kubernetes, Azure Cloud, Github, etc
  • Core Skills: Traditional AI / ML / Data Science skillsets (Predictive, Prescriptive, Descriptive, Statistical, Optimization, Simulation, Natural Language processing, Computer Vision, Image Processing, etc)
  • Domain: Healthcare, Facets, GuidingCare, etc

Note: Domain skills are nice to have and not mandatory.
Essential Functions:
  • Design and implement AI models and algorithms tailored to diverse business challenges
  • Define and lead the architecture of Generative AI platforms, including large language models (LLMs), vector databases, and inference pipelines
  • Maintain deep expertise in modern generative AI technologies such as Knowledge Graphs, OpenAI, LLaMA, Python, LangChain, vectorization, embeddings, semantic search, Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit
  • Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas
  • Foster innovation and collaboration in a fast-paced environment through a hands-on, imaginative approach and a self-driven, inquisitive mindset
  • Leverage AI-assisted development tools, including GitHub Copilot and internally developed solutions, to enhance productivity
  • Apply creative problem-solving techniques to identify and implement process improvements
  • Assess technical risks and develop effective mitigation strategies to ensure successful project delivery
  • Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into production-ready systems
  • Partner with leadership to evaluate existing services and develop strategies to optimize delivery and support
  • Perform data preprocessing and analysis on large datasets to uncover actionable insights
  • Train, validate, and fine-tune machine learning and deep learning models for optimal performance
  • Deploy models using cloud infrastructure and containerization technologies such as Docker and Kubernetes
  • Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and lifecycle management
  • Apply AIOps practices to enhance operational efficiency, automate incident detection, and optimize system performance using AI-driven insights
  • Continuously monitor model performance and retrain as needed to maintain accuracy and relevance
  • Stay current with industry trends, tools, and frameworks, and assess their applicability to organizational goals
  • Document workflows, models, and codebases to support maintainability and knowledge sharing
  • Provide timely and transparent progress updates to stakeholders, highlighting key milestones, challenges, and proposed solutions
  • Perform any other job duties as requested

Education and Experience:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience is required
  • Master's degree is preferred
  • Minimum of five (5) years of experience in developing and deploying AI/ML models is required
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools Is required
  • Experience with Agile methodologies is required

Competencies, Knowledge, and Skills:
  • Knowledge of model interpretability and ethical AI practices
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV
  • Strong analytical, evaluative and problem-solving abilities
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration abilities
  • Knowledge of healthcare and managed care

Preferred Licensure and Certification:
  • AI / Data Science certifications or credentials are preferred

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Occasional travel may be required to meet with stakeholders and development teams

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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