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Startup Machine Learning Remote Jobs in Frederick, MD

Quvia

Principal Solutions Engineer

Germantown, MD · On-site +1

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... Founded in 2019, we are a fast-growing, Series A tech startup passionate about making connectivity ...

Anika Systems

AI Engineer

Leesburg, VA · Remote

Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation ... This position is currently remote; however, in accordance with federal contract requirements and ...

Anika Systems

AI Engineer

Leesburg, VA · On-site +1

Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation ... This position is currently remote; however, in accordance with federal contract requirements and ...

Anika Systems

Data Architect

Leesburg, VA · Remote

$65.25 - $84/hr

This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering ... Architect modern AI-enabled data platforms, including support for machine learning, LLM integration ...

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering ... Architect modern AI-enabled data platforms, including support for machine learning, LLM integration ...

Anika Systems

Quality Assurance Engineer

Leesburg, VA · On-site +1

This opportunity is 100% remote. Key Responsibilities Test Automation & QA Engineering * Design ... machine learning workflows. * Ensure alignment with responsible AI practices, including ...

All JobsStartup Machine Learning Remote JobsStartup Machine Learning Remote Jobs in Frederick, MD

Startup Machine Learning Remote information

See Frederick, MD salary details

$25.4K

$42.3K

$87.5K

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

As of Jun 28, 2026, the average yearly pay for startup machine learning remote in Frederick, MD is $42,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Startup Machine Learning Engineer in a remote setting, and why are they important?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are remote startup machine learning jobs?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What are some unique challenges faced by machine learning professionals working remotely at a startup?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.
What job categories do people searching Startup Machine Learning Remote jobs in Frederick, MD look for? The top searched job categories for Startup Machine Learning Remote jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Startup Machine Learning Remote jobs? Cities near Frederick, MD with the most Startup Machine Learning Remote job openings:
Startup Machine Learning Remote jobs near you
AI/ML Consultant - Red Hat / Virtualization Focus - Remote

AI/ML Consultant - Red Hat / Virtualization Focus - Remote

Vinsys Information Technology Inc

Dulles, VA • Remote

Contractor

Posted 28 days ago

Job description

The AI/ML Consultant is responsible for designing, implementing, and optimizing artificial intelligence and machine learning solutions within enterprise environments. The role involves leveraging Red Hat (e.g., OpenShift AI, Ansible, RHEL AI) or other virtualization technologies to deploy scalable ML models and ensure integration with cloud or on-premises infrastructure. This is a Vinsys in-house/own project engagement. If interested, pl. Share a copy of your resume to hr@vinsysinfo.com along with your salary / rate expectations and the best time to reach you.
 
Key Responsibilities:
  • Assess client needs and design AI/ML strategies aligned with business goals.
  • Build, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Implement containerized AI/ML solutions on Red Hat OpenShift or similar virtualization/container platforms (VMware, KVM, Docker, Kubernetes).
  • Automate deployment and lifecycle management with Red Hat Ansible or equivalent tools.
  • Integrate AI/ML workloads with existing enterprise systems and CI/CD pipelines.
  • Ensure scalability, security, and compliance of deployed models.
  • Provide technical consulting, solution architecture, and knowledge transfer to client teams.
Required Skills and Experience:
  • Strong background in AI/ML algorithms, model lifecycle, and data processing.
  • Hands-on experience with Red Hat technologies (OpenShift, RHEL AI, Ansible Automation Platform) or other virtualization/containerization platforms.
  • Expertise in cloud environments (AWS, Azure, or GCP) with hybrid or multi-cloud deployment knowledge.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Experience with MLOps practices and tools.
  • Knowledge of Linux system administration and virtualization concepts.
Preferred:
  • Red Hat Certified Specialist or Architect certifications.
  • Exposure to edge AI and GPU-accelerated workloads.
  • Experience consulting in government or enterprise IT environments.