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Flexible Remote Machine Learning Engineer Jobs in Crofton, MD

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 ...

Senior Software Engineer

Laurel, MD ยท On-site +1

$150K - $200K/yr

Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed. What You ... Experience with Machine Learning Model building and monitoring * Experience with Ghostmachine (Map ...

Senior Data Science Engineer

Laurel, MD ยท Remote

$180K - $220K/yr

Build, deploy, and monitor machine learning models, including Random Forest models and feature engineering pipelines. * Develop performance metrics, monitoring capabilities, and data flow solutions ...

Work with data scientists, machine learning engineers, software engineers, and designers to build ... We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team ...

Work with data scientists, machine learning engineers, software engineers, and designers to build ... We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team ...

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 ...

Solution Architect

Washington, DC ยท On-site +1

$71.25 - $94/hr

Location: 100% Remote Travel: Ability to be onsite in Camp Springs, MD for project support as ... Collaborate with data scientists, machine learning engineers, and development teams to architect ...

Showing results 41-60

Flexible Remote Machine Learning Engineer information

See Crofton, MD salary details

$31.9K

$130.2K

$195.7K

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

As of Aug 17, 2026, the average yearly pay for flexible remote machine learning engineer in Crofton, MD is $130,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $156,800.00 per year, depending on experience, location, and employer.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is the difference between Flexible Remote Machine Learning Engineer vs Data Scientist?

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Crofton, MD?

For Flexible Remote Machine Learning Engineer jobs in Crofton, MD, the most frequently searched job titles are:

What cities near Crofton, MD are hiring for Flexible Remote Machine Learning Engineer jobs?

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

Infographic showing various Flexible Remote Machine Learning Engineer job openings in Crofton, MD as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $130,226 per year, or $62.6 per hour.

AI/ML Engineer

Expression

Washington, DC โ€ข On-site, Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

Responsibilities:

  • Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.
  • Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.
  • Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.
  • Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.
  • Design AI orchestration workflows supporting distributed inference across multiple edge devices.
  • Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.
  • Implement model monitoring, observability, testing, and automated evaluation frameworks.
  • Collaborate with software engineers to integrate AI models into production software platforms.
  • Optimize models using quantization, pruning, distillation deployment technologies.
  • Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.
  • Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.
  • Document model development, evaluation results, and technical recommendations.
  • Support customer demonstrations and prototype evaluations.

Required Qualifications:

  • Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.
  • 5-8+ years of professional experience developing production AI or machine learning applications.
  • Strong Python programming experience.
  • Experience with PyTorch.
  • Experience deploying LLMs in production environments.
  • Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.
  • Experience implementing Retrieval-Augmented Generation (RAG).
  • Experience with vector databases and semantic search.
  • Experience deploying AI models on edge or resource-constrained devices.
  • Experience with model optimization techniques including quantization, model compression, or inference acceleration.
  • Experience designing evaluation frameworks for AI systems.
  • Experience with Docker and cloud-native AI deployment.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience applying AI to sensor analytics, time-series data, or signal processing.
  • Experience with software-defined radio data, RF analytics, or geospatial data analytics.
  • Experience developing multimodal AI applications.
  • Experience deploying AI across distributed edge computing environments..
  • Experience supporting DoD, Intelligence Community, or Federal customers.
  • Experience working in bandwidth-constrained or disconnected operational environments.
  • Experience supporting National Security or Federal Civilian customers.

Location: Hybrid or Remote with limited travel

      Benefits:

      Expression offers competitive salaries and benefits, such as:

      • 401k matching
      • PPO and HDHP medical/dental/vision insurance
      • Education reimbursement up to $10,000/yr
      • Complimentary life insurance
      • Generous PTO and 11 days of holiday leave
      • Onsite gym facility and trainer
      • Commuter Benefits Plan
      • In-office Cold Brew Coffee

      About Expression:

      Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

      We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.

      Equal Opportunity Employer/Veterans/Disabled
      Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

      Employment Type: FULL_TIME