2

Flexible Remote Machine Learning Engineer Jobs in Maryland

We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early ...

... flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote ... Al), machine learning (ML) and cross-domain transfer systems. Come join our award-winning ...

Sr. Software Engineer

Bethesda, MD ยท On-site +1

$131K - $172K/yr

... flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote ... Al), machine learning (ML) and cross-domain transfer systems. You will work closely with the team ...

Sr. Software Engineer

Bethesda, MD ยท On-site +1

$131K - $172K/yr

... flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote ... Al), machine learning (ML) and cross-domain transfer systems. You will work closely with the team ...

Resume Only Submission

Aberdeen, MD ยท On-site +1

$179K/yr

Artificial Intelligence (AI) and Machine Learning (ML); Cyber Security; Cloud Computing ... That's why we offer flexible scheduling, remote work options, and a healthy work-life balance We ...

Data Scientist

Baltimore, MD ยท On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

Showing results 41-60

Flexible Remote Machine Learning Engineer information

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 the most commonly searched types of Remote Machine Learning Engineer jobs in Maryland?

The most popular types of Remote Machine Learning Engineer jobs in Maryland are:

What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Maryland?

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

What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Maryland look for?

The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Maryland are:

What cities in Maryland are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities in Maryland with the most Flexible Remote Machine Learning Engineer job openings:

Senior Data Scientist

Elder Research

Fort George G Meade, MD โ€ข On-site, Remote

$150K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Senior Data Scientist


General Information

Requisition #729

Locations USA-MD-Ft. Meade

Posting Date 07/24/2026

Security Clearance Required - TS/SCI + Poly

Remote Type N/A

Time Type Full time


Description & Overview:

We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges.

These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer.


Essential Functions:

As a Senior Data Scientist, you will:

  • Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.

  • Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.

  • Design and execute experiments or create models to generate data when training datasets are unavailable.

  • Generate reports and visualizations that provide actionable insights and summarize data findings for clients.

  • Translate complex data analysis into clear, actionable recommendations.

  • Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.

  • Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects.

  • Apply expert knowledge in data science to deliver solutions that address clients' business needs.

  • Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work.

  • Lead a team of data scientists in the development of multiple analytic efforts.

  • This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness.


Requirements:

  • A current TS/SCI with Polygraph is required for this role.

  • BA/BS in Math, Statistics, Engineering, Computer Science, or related field

  • Proficiency with Python and R.

  • Experience using large data sets to solve problems.

  • Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling.

  • AWS or Cloud experience.

  • Ability to communicate complex models and concepts effectively in non-technical language.


Desired Qualifications:

  • Bachelors Degree with 12+ years of relevant experience.

  • Masters Degree with 10+ years of relevant experience.

  • PhD. with 6+ years of relevant experience.

  • Familiarity with commercial and open-source data science software.

  • Familiarity with relational databases: Oracle, SQL, and ETL tools.


Salary and Benefit Information:

The likely salary range for this position is $150,000-$220,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.

Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - for example, each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.