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Flexible Remote Machine Learning Engineer Jobs in Baltimore, MD

This role emphasizes end-to-end development of machine learning and AI systems, including ... Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ...

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

This role emphasizes end-to-end development of machine learning and AI systems, including ... Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ...

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Azure Cloud & Operations Engineer (Must be US Citizen or Green Card) Join a team building and ... Experience with Azure AI Foundry and Azure Machine Learning. * Knowledge of Azure data governance ...

Test and validate AI-enabled applications, machine learning integrations, and large language model ... Collaborate with developers, full-stack engineers, product owners, and stakeholders to understand ...

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0232485 Location: Annapolis Junction,MD,US Share job via: Share AI and ML Engineer The Opportunity: As an experienced engineer, you know that machine learning (ML) is ...

Showing results 41-60

Flexible Remote Machine Learning Engineer information

See Baltimore, MD salary details

$31.3K

$128K

$192.3K

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 Baltimore, MD is $127,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,000.00 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 Baltimore, MD?

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

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

The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Baltimore, MD are:

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

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

AI Platform Engineer, Senior

Booz Allen Hamilton, Inc.

Laurel, MD • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0234072
Location:
Laurel,MD,US
Share job via:
Share
AI Platform Engineer, Senior
The Opportunity:
As an AI Platform Engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation-we're looking for a software engineer like you to create artificial intelligence and machine learning solutions that help solve the nation's toughest problems.
On our team, you'll create and implement complete end-to-end solutions that modernize client systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like AI and cloud.
Ready to transform national security systems for the better with AI technology?
Join us. The world can't wait.
You Have:
  • Experience designing, building, and operating large-scale production systems
  • Experience in systems integration across various technologies and platforms
  • Experience with cloud engineering in AWS
  • Experience programming in Python
  • Experience with Kubernetes administration and deployment patterns
  • Experience implementing and scaling observability solutions, including APM, OpenTelemetry, Grafana, or Prometheus
  • Experience leading technical initiatives and influencing organizational change
  • Experience assisting with developing technical policies and governance frameworks
  • TS/SCI clearance with a polygraph
  • Bachelor's degree and 12+ years of experience in software engineering, or 16+ years of experience in software engineering in lieu of a degree

Nice If You Have:
  • Experience with AI inference technologies, including vLLM or LiteLLM
  • Experience with agentic frameworks, including LangChain
  • Experience with vector databases and embedding systems
  • Experience with high-performance computing or distributed systems

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914