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Remote Machine Learning Architect Jobs in Maryland

GRVTY

Senior Software Engineer

Laurel, MD · 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 ...

CSAA

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... Influence platform strategy, architecture decisions, operational processes, and technology adoption.

Econometrica

Data Scientist

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Certifications in cloud architecture, data science, machine learning, or related disciplines (Azure ...

Autodesk

Senior Principal AI/ML Developer

California, MD · On-site +1

$120K - $165K/yr

Our GET Applied AI org is looking for a seasoned Sr. Principal Scientist/Machine Learning Developer ... architecture; and testing/launching software products * 10+ years of hands-on experience with data ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243058 Location: Annapolis Junction,MD,US Share job via: Share Agentic AI Engineer The Opportunity: You know that machine learning is critical to understanding and ...

Econometrica, Inc.

Data Scientist

Bethesda, MD · On-site +1

Certifications in cloud architecture, data science, machine learning, or related disciplines (Azure ... Work Environment This position is remote, though candidates may choose to work in Econometrica ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

We are seeking talented and motivated Data Scientists with expertise in machine learning ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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Remote Machine Learning Architect information

What is a remote machine learning architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

How does a remote machine learning architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What are the key skills and qualifications needed to thrive as a remote machine learning architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

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

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

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

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

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

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

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

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

Remote Machine Learning Architect jobs near you
Infographic showing various Remote Machine Learning Architect job openings in Maryland as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution.

A/AI Research Engineer Stf - E4

Lockheed Martin Corporation

Bethesda, MD • On-site, Remote

$150K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 397 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies

Job description

Standard Job Description
Focuses on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Researches and discovers improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.
The Astris AI Sales Engineer serves as the technical backbone of our AI Factory go-to-market motion. This role owns the demo environments, proof-of-concept architectures, and technical narrative that show prospective enterprise customers what AI Factory platform - can do. It combines hands-on AI/ML engineering skill with strong presentation ability to support Account Executives across the full commercial sales cycle, from first technical discovery call through proof-of-concept and close.
Demo & Technical Asset Development
  • Build and maintain reusable MLOps demo environments on Panel covering the full model lifecycle: experiment tracking, versioning, CI/CD for ML, deployment, and production monitoring
  • Develop industry-specific demo narratives and datasets (predictive maintenance, fraud detection, supply chain forecasting, and similar) that map Panel's capabilities to a prospect's actual workflows
  • Maintain demo infrastructure, including containerized and Kubernetes-based environments, so demos run reliably across customer meetings, trade shows, and remote sessions
  • Build reusable technical assets: reference architectures, ROI calculators, solution briefs, and competitive comparison sheets

Customer Engagement Support
  • Partner with Account Executives throughout the commercial sales cycle - qualification through close
  • Lead technical discovery sessions to understand a prospect's existing infrastructure, data environment, team structure, and integration constraints
  • Deliver customized demonstrations and technical presentations to audiences ranging from data scientists and ML engineers to CTO/CIO-level executives
  • Respond to RFIs/RFPs with accurate technical content and MLOps-specific competitive positioning
  • Build trusted-advisor relationships with customer technical stakeholders and support technical handoffs to Customer Success Engineers and Solution Architects once a deal closes

Technical Enablement & Collaboration
  • Maintain deep expertise in Panel and general MLOps best practices (model versioning, experiment tracking, CI/CD for ML, monitoring, governance)
  • Stay current on the broader MLOps and Kubernetes ecosystem (Kubeflow, MLflow, KServe, Ray, Argo, and similar) to keep demos and competitive positioning sharp
  • Collaborate with Product and Engineering to feed customer feedback and market signal into the Panel roadmap
  • Support partner-channel enablement (ISVs, SIs, cloud partners) with MLOps-focused technical training and co-selling assets

Basic Qualifications
  • 5-9 years in Sales Engineering, Solutions Engineering, Pre-Sales Technical Consulting, or a hands-on ML engineering / MLOps role
  • Working proficiency in Python and at least one ML framework (PyTorch, TensorFlow, scikit-learn, or similar)
  • Demonstrated ability to build and maintain demo or POC environments end-to-end

Desired Skills
  • Hands-on experience with MLOps platforms such as Astris AI Factory, MLflow, Kubeflow, Weights & Biases, or similar tools
  • Working knowledge of generative AI / LLM concepts (RAG, agent frameworks)
  • Experience selling into manufacturing, supply chain, financial services, or technology verticals
  • Practical experience with Kubernetes (deploying, debugging, or operating workloads) and containerization

Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
  • Full-time salary range (GEOZONE 1): $150800.00 - $280000.00
    • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
  • Full-time salary range (GEOZONE 2): $135700.00 - $251900.00
    • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
  • Full-time salary range (GEOZONE 3): $120600.00 - $224000.00
    • Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
  • Full-time salary range (GEOZONE 4): $108600.00 - $201600.00
    • Includes metropolitan areas such as Camden, AR; Lexington, KY; Ocala, FL; Lufkin, TX; etc.

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
  • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
  • For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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