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Machine Learning Operations Jobs in Maryland (NOW HIRING)

Senior Machine Learning Engineer

Bowie, MD ยท On-site

$118K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... and operational outcomes at scale. In this role, you will contribute to both classical machine ...

New

Machine Learning Engineer

Jessup, MD ยท On-site

$100K - $137K/yr

... DevOps, and Containerization & Orchestration. If you are a software engineer with experience in ... Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn ...

... Intelligence, DevOps,andContainerization & Orchestration. Ifyou are asoftware engineer with ... Experience with machine learning libraries and frameworks such as TensorFlow,PyTorch, scikit-learn ...

Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale. InterImage ...

Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale. InterImage ...

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Showing results 1-20

Machine Learning Operations information

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

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

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
What cities in Maryland are hiring for Machine Learning Operations jobs? Cities in Maryland with the most Machine Learning Operations job openings:
Infographic showing various Machine Learning Operations job openings in Maryland as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Learning Management Systems Supervisor (Location Flexible)

Learning Management Systems Supervisor (Location Flexible)

RSM

Baltimore, MD โ€ข On-site, Remote

Full-time

Posted 22 days ago


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.

The Learning Systems Supervisor supports enterprise learning, compliance, and enablement needs. This role defines the functional vision for the learning ecosystem, manages the LMS vendor landscape and contracts, and ensures the platform strategy aligns with learning strategy and organizational priorities. The Learning Systems Supervisor translates business and learning needs into scalable platform capabilities while maintaining operational stability and governance.

Responsibilities:

  • Establish governance for learning technology capabilities, integrations, and platform usage
  • Ensure scalable processes exist for vendor onboarding, tool evaluation, and platform enhancements, security, and governance specific to the learning management systems.
  • Maintain visibility into LMS vendor roadmaps and ensure the organization leverages platform capabilities effectively
  • Maintain a clear intake and prioritization process for learning technology requests
  • Provide strategic guidance on platform usage, design standards, and best practices
  • Serve as a solution architect & subject matter expert for the learning ecosystem - balancing user experience, technical feasibility, and compliance requirements.
  • Partners with Talent Tech, Data & Analytics, and vendors to design integrations, reporting, and workflow automation that connect learning to the broader Talent data model.
  • Drive readiness and adoption activities related to system upgrades, re-implementations, and new technology rollouts.
  • Ensure all systems and processes align with firm policies, data privacy standards, and regulatory requirements.
  • Define and prioritize platform capabilities that support learning, compliance, and workforce enablement
  • Ensure alignment between learning strategy, platform capabilities, and enterprise technology standards
  • Drive continuous improvement of the learning ecosystem through feature enhancements and platform optimization
  • Partner with Learning Centers of Excellence (COEs) to support content strategy, learning design, and enablement
  • Translate learning, compliance, and operational needs into platform functionality and system requirements
  • Identify opportunities to streamline learning operations through platform capabilities and automation
  • Support integration of external learning content providers and learning technology tools
  • Act as the connector between Learning & Development, Learning Operations, and to ensure alignment of strategy and execution.
  • Lead communication and change management efforts for system transitions, ensuring clarity, transparency, and adoption across all business lines.
  • Develop materials and deliver briefings for Talent and business leadership on learning technology strategy, progress, and outcomes.

Requirements:

  • Bachelor's degree required
  • Deep understanding of enterprise learning management systems (LMS) such as Cornerstone OnDemand, Workday Learning, Saba, or Docebo
  • Familiarity with tools like Degreed, EdCast, or LinkedIn Learning Hub and how they integrate with LMS platforms
  • Knowledge of SCORM/xAPI standards, content authoring tools (e.g., Articulate, Captivate), and media hosting platforms
  • AI-Driven Solutions - Understanding of AI and machine learning applications in learning (recommendation engines, chatbots, adaptive learning)
  • Experience defining requirements, evaluating vendors, and managing end-to-end selection and implementation processes.
  • Understanding of data governance, user access control, audit readiness, and regulatory requirements
  • Familiarity with structured change control processes, testing protocols, and communication planning during releases or upgrades.
  • Demonstrated success partnering to lead LMS RFPs, implementations, or re-implementations (Cornerstone, Workday Learning, or similar).
  • Experience with automation tools, AI applications, or digital enablement initiatives in learning or HR preferred.


Preferred:

  • Master's degree or relevant certification preferred.
  • 6+ years of experience in Learning & Development, Learning Systems Management, or HR Technology; experience in professional services strongly preferred.
  • Understanding of how learning systems connect with HRIS (Workday, PeopleSoft, etc.), identity management, and data systems via APIs or middleware.

Team Aligned Flexiblity - The baseline expectation that employees and owners may perform work from home, an office, a client site, or other relevant business locations, withinperson attendancerequiredwhen business needs, collaboration, client service, development, or travelwarrantit. Working from homefrequentlyor primarily does not change this expectation. For this position, the location is open to any of our US based markets.

At RSM, we offer a competitive benefits and compensation package for all our people.We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients.Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $95,400 - $163,900

Individualsselected for this role will be eligible for a discretionary bonus based on firm and individual performance.