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Remote Machine Learning Engineer Jobs in Owings, MD

AI Developer - Remote

Washington, DC ยท Remote

$110K - $160K/yr

Remote (occasional travel may be required) Clearance:Public Trust or able to obtain Salary: $110 ... The AI Developer will design, build, and support artificial intelligence and machine learning ...

AI Developer - Remote

Washington, DC ยท On-site +1

$110K - $160K/yr

Remote (occasional travel may be required) Clearance: Public Trust or able to obtain Salary: $110 ... The AI Developer will design, build, and support artificial intelligence and machine learning ...

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Develop and implement statistical models, machine learning workflows, and geospatial analytics ...

Senior Data Engineer

Washington, DC ยท On-site +1

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES โ€ข Provide ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. โ€ข Migrate source data ...

Senior Data Engineer

Washington, DC ยท Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide ... Machine Learning, using both SDK V1 and SDK V2. * Migrate source data identified by SBA OIG into ...

Senior Data Engineer

Washington, DC ยท Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES โ€ข Provide ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. โ€ข Migrate source data ...

Senior Data Engineer

Washington, DC ยท Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide ... Machine Learning, using both SDK V1 and SDK V2. Migrate source data identified by SBA OIG into ...

AI/ML Engineer

Washington, DC ยท On-site +1

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

AI Engineer

Washington, DC ยท Remote

$41.85/hr

Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security Clearance: Public ... Design, develop, and optimize machine learning models using Python * Deploy and manage solutions in ...

AI Data Engineer

Fort Belvoir, VA ยท On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Design and implement scalable data pipelines for AI and machine learning workloads. * Develop and ...

Azure Data Architect

Washington, DC ยท On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry). * Proficiency in programming ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Work with data scientists, machine learning engineers, software engineers, and designers to build ... 401(k), remote work stipends, and monthly internet allowance. Primer is proud to be an Equal ...

Work with data scientists, machine learning engineers, software engineers, and designers to build ... 401(k), remote work stipends, and monthly internet allowance. Primer is proud to be an Equal ...

Showing results 41-60

Remote Machine Learning Engineer information

See Owings, MD salary details

$30.5K

$124.5K

$187.1K

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

As of Aug 19, 2026, the average yearly pay for remote machine learning engineer in Owings, MD is $124,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,900.00 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 cities near Owings, MD are hiring for Remote Machine Learning Engineer jobs?

Cities near Owings, MD with the most Remote Machine Learning Engineer job openings:

AI Developer - Remote

BluePath Labs

Washington, DC โ€ข Remote

$110K - $160K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

AI Developer

Location: Remote (occasional travel may be required)

Clearance:Public Trust or able to obtain

Salary: $110,000 - $160,000

BluePath Labs is a professional services and technical solutions company designed to improve the identification, development, and application of revolutionary technologies for U.S. National Interests. BluePath's multidisciplinary experience supporting government, academia, and industry is unique among small businesses and a core differentiator of our solutions. BluePath is now an Inc. 5000 company transforming critical missions for the Departments of Defense, Homeland Security, Energy, and Commerce in a variety of domains, ranging from strategic competition and cybersecurity research and development to border, supply chain, and energy program support.

We are actively seeking an AI Developer to support Federal Government clients.

Note:This position iscontingent upon contract award. We are currently seeking qualified candidates to include in our proposal for an upcoming government contract. Applicants selected may be contacted for further steps if the contract is awarded.

Work Description:

The AI Developer will design, build, and support artificial intelligence and machine learning solutions that address complex business and mission challenges. The role involves developing production-ready AI applications, integrating models into cloud-based environments, collaborating with technical and business stakeholders, and continuously improving system performance, reliability, and scalability. The successful candidate will work across the full AI lifecycle, from requirements analysis and solution design through deployment, monitoring, and maintenance.

Responsibilities:TheAI Developer will support tasks such as:

  • -Design, develop, test, and deploy AI and machine learning solutions.
  • -Build and integrate AI-powered applications, APIs, and services into existing systems.
  • -Develop, train, evaluate, and optimize machine learning models.
  • -Collaborate with software engineers, data scientists, and business stakeholders to translate requirements into technical solutions.
  • -Prepare, analyze, and transform structured and unstructured data for model development.
  • -Implement MLOps and DevOps practices to support deployment, monitoring, and continuous improvement.
  • -Develop and maintain technical documentation, architecture diagrams, and operational procedures.
  • -Support cloud-native AI solutions hosted in platforms such as Azure, AWS, or other approved environments.
  • -Troubleshoot application, infrastructure, and model performance issues and implement corrective actions.
  • -Stay current with emerging AI technologies, frameworks, and industry best practices.

Requirements:

  • -U.S. Citizen.
  • -5-10 years of professional experience designing, developing, and supporting software applications or data-driven solutions.
  • -Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • -Strong proficiency in one or more programming languages such as Python, JavaScript, Java, or C#.
  • -Experience developing, testing, and deploying cloud-based applications in environments such as Microsoft Azure, AWS, or Google Cloud.
  • -Familiarity with machine learning concepts, model development workflows, and modern AI frameworks.
  • -Experience working with source control systems and collaborative software development practices.
  • -Knowledge of software delivery practices, including automated testing, release management, and deployment automation.
  • -Ability to troubleshoot complex technical issues and optimize application performance in production environments.
  • -Strong analytical, communication, and problem-solving skills.
  • -Ability to work effectively within cross-functional Agile teams.

Preferred Qualifications:

  • -Experience with combating fraud
  • -Experience with ServiceNow

Benefits:

BluePath Labs offers a comprehensive benefits package. Benefits include, but are not limitedto:employer-sponsored healthcare plan, lifestyle & wellness reimbursement, Flexible Spending Account (FSA), tuitionassistance, 401(k) with company match, and paid time off for vacation / sick leave, in addition to 12 holidays per calendar year.

About BluePath

BluePath Labs combines mission and business insights with advanced technologies to deliver measurable performance improvements for our clients. BluePath is dedicated to surpassing client expectations by always living by our core values of integrity, professionalism, and resilience. BluePath's extensive experience in Government, Military, Commercial, and Academic environments is unique among small businesses and a core differentiator of our solutions. Our multidisciplinary background allows us to solve diverse and complex problems. Most importantly, we work closely with our clients to frame problems correctly,optimizeprocesses,leveragetechnologies, and implement enduring solutions. Labs are where ideas are born, experiments occur, and breakthroughs happen. It is the hallmark of BluePath's culture.

https://www.bluepathlabs.com/

BluePath Labs is an equal opportunity employer.