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Flexible Remote Machine Learning Engineer Jobs in Crofton, MD

We're looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical ... remote * Annual stipend * Comprehensive Benefits Package * Company Match 401(k) plan * Flexible PTO ...

Machine Learning Tutor

Laurel, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Rockville, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Baltimore, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

College Park, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Bowie, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Washington, DC ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Primary work will be performed at the client site in Washington DC and approved remote/telework ... Develop and maintain machine learning models for anomaly detection, predictive threat analytics ...

Primary work will be performed at the client site in Washington DC and approved remote/telework ... Develop and maintain machine learning models for anomaly detection, predictive threat analytics ...

Senior Software Engineer - Remote

Washington, DC ยท Remote

$138K - $182K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

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 ...

Sr. AI Engineer

Washington, DC ยท On-site +1

$118K - $162K/yr

Neural Networks, Foundation Model, Agentic Workflows, Machine Learning, Computer Vision, Robotics ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Showing results 21-40

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 Sep 7, 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, 28% Part Time, and 2% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $130,226 per year, or $62.6 per hour.

Applied AI/ML Engineer

Oddball

Washington, DC โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 25 days ago


Key responsibilities

  • Design, develop, and deploy machine learning and AI-powered features into production systems

  • Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data

  • Collaborate with software engineers to integrate models into APIs, services, and user-facing applications


Job description

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.ย 

We're looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems - from experimentation and prototyping through deployment, evaluation, and iteration. You'll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

What you'll be doing:

  • Design, develop, and deploy machine learning and AI-powered features into production systems
  • Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
  • Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
  • Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
  • Translate business and user needs into ML problem statements, metrics, and experiments
  • Implement data pipelines and feature engineering workflows to support model training and inference
  • Evaluate model performance, bias, drift, and reliability; iterate based on results
  • Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
  • Contribute to architecture decisions around model serving, scalability, and cost optimization
  • Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you'll bring:

  • Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation
  • Experience building and deploying ML models in real-world applications
  • Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience working with large language models, embeddings, and prompt-driven systems
  • Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
  • Understanding of software engineering best practices (version control, testing, code reviews)
  • Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
  • Strong communication skills and comfort working in cross-functional teams
  • Performs other related duties as assigned

Bonus if you have:

  • Experience working in innovation, R&D, labs, or exploratory engineering teams
  • Experience deploying models to cloud platforms and managing inference at scale
  • Familiarity with MLOps practices such as model monitoring, CI/CD for ML, and experiment tracking
  • Experience contributing to architectural discussions or technical strategy

Location: Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to participate with in-office collaboration.

Requirements:

  • Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.

Benefits:

  • Fully remote
  • Annual stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.ioย 

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball, it's important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $150,000 - $200,000