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Remote Machine Learning Jobs in Baltimore, MD (NOW HIRING)

Altumint

Python Engineer

Lanham, MD · On-site +1

$110K - $125K/yr

... remote configuration. • Write clean, maintainable, and well-documented code within a large ... machine learning, computer vision, or intelligent transportation technologies. • Experience ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

ABB

OEM Sales Director-Machinery

Baltimore, MD · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Social Security Administration

Data Scientist

Woodlawn, MD · On-site +1

$143K - $187K/yr

Design and implement machine learning models, including generative AI and agentic AI solutions, to support business objectives. * Clean, transform, and manage large datasets from diverse sources ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Baltimore, MD

Remote Machine Learning information

See Baltimore, MD salary details

$25.3K

$42.3K

$87.4K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Baltimore, MD is $42,313.00, 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Baltimore, MD? The most popular types of Machine Learning jobs in Baltimore, MD are:
What are popular job titles related to Remote Machine Learning jobs in Baltimore, MD? For Remote Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Baltimore, MD look for? The top searched job categories for Remote Machine Learning jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Machine Learning jobs? Cities near Baltimore, MD with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Senior Performance Consultant - Digital Experience (DEX) & SaaS Transitions

Senior Performance Consultant - Digital Experience (DEX) & SaaS Transitions

Riverbed Technology, Inc.

Columbia, MD • On-site, Remote

Other

Re-posted 2 days ago

Job description

Riverbed. Empower the Experience

Riverbed, the leader in AIOps for observability, helps organizations optimize their users' experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed's open and AI-powered observability platform and solutions optimize digital experiences and greatly improve IT efficiency. Riverbed also offers industry-leading Acceleration solutions that provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of market-leading customers globally - including 95% of the FORTUNE 100 - we are empowering next-generation digital experiences. Learn more at riverbed.com

Position

Title: Sr. Performance Consultant - Digital Experience (DEX) and SaaS Transitions 

Location: United States (Remote, with customer travel as required)

Clearance Level: TS/SCI preferred

Technology Specialization: Digital Experience Management

The Performance Consultant is a senior individual contributor and subject matter expert within Riverbed Professional Services, focused on delivering Aternitybased Digital Experience (DEX) solutions in SaaS environments.

This role supports enterprise and US secured customers by leading complex DEX deployments, SaaS operations, and onprem to SaaS transitions. The consultant acts as a trusted technical and advisory partner, ensuring customers successfully adopt Aternity SaaS while maintaining performance visibility, security requirements, and operational continuity.

This is not a peoplemanagement or practicelead role. The focus is on deep technical expertise, customer advisory, and successful outcomes across DEX and SaaS engagements.

Candidates must therefore have a strong IT background in DEX concepts and of working within a professional services organization. Ideally this experience will have been gained in Managed Services type scenarios or similar. 

What you will do
  • Serve as a senior technical SME for Aternity Digital Experience (DEX) solutions across SaaS and hybrid environments.
  • Lead complex Aternity engagements, including deployments, dashboards, alerting, and cross-domain analysis.
  • Design and validate enterprise-scale Aternity architectures aligned to customer goals and operating models.
  • Deliver Aternity in SaaS environments, ensuring stability, scalability, and operational readiness.
  • Lead or support on-prem to SaaS transitions, including planning, architecture, and risk management.
  • Act as a trusted advisor to customers, guiding DEX strategy, SaaS adoption, and performance management best practices.
  • Lead customer workshops and executive engagements, clearly communicating technical, operational, and compliance considerations.
What makes you an ideal candidate
  • Active TS/SCI clearance preferred; candidates must be US-based.
  • 10+ years of experience in Professional Services, Consulting, or advanced technical advisory roles.
  • Deep, hands-on experience with Digital Employee Experience (DEX), observability, and application performance.
  • Proven experience delivering solutions in SaaS environments, including adoption and operationalization.
  • Experience supporting on-prem to SaaS transitions or hybrid migrations.
  • Strong customer-facing skills with the ability to engage credibly at senior and executive levels.
  • Excellent problem-solving, communication, and presentation skills across technical and non-technical audiences.
What we offer

Our employee benefits including flexible workplace policies, employee resource groups, learning and development resources, career progression pathways, and community engagement initiatives are some of the reasons why we have had great success in bringing in new talent. In addition, our global employee wellness programs are crafted to support the physical, emotional, and financial well-being of our employees.  

Benefits & Perks vary by Country. 

About Riverbed

With a 20-year history of innovation, Riverbed is agile and proven-and we continue to disrupt the market with differentiated solutions that help customers deliver secure, seamless digital experiences and accelerate enterprise performance. We are relentlessly customer-first: we listen, learn, and act with urgency to solve real problems and earn trust every day. We pair bold ideas with operational efficiency, simplifying how we work, focusing on what matters most, and delivering with quality and speed. Fueled by a will to win, we set ambitious goals, hold ourselves accountable, and raise the bar through measurable outcomes. At the center of it all are our people-bringing our best selves to work with a shared commitment to excellence, transparency, and open communication. We strive to be an inclusive, fair, and enjoyable workplace where respect and wellbeing are prioritized. We are committed to our people, partners, and customers while supporting the communities where we work and live. It's the Power of WE that binds us together and drives high-impact success.

Riverbed is an equal employment opportunity/Affirmative Action (EEO/AA) employer and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability (including HIV and AIDS), mental disability, medical condition, pregnancy or child birth (including breast feeding), sexual orientation, genetics, genetic information, marital status, veteran status or any other basis protected by and in accordance with applicable federal, state and local laws.

Check us out on:www.riverbed.com@LifeAtRiverbed

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Employment Type: OTHER

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