2

Remote Director Machine Learning Jobs in Maryland

$70K - $100K/yr

You will select the right machine learning models, frameworks (like TensorFlow or PyTorch), and ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

$70K - $100K/yr

You will select the right machine learning models, frameworks (like TensorFlow or PyTorch), and ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

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 ... You know that machine learning is critical to understanding and processing massive datasets. Your ...

Data Engineer

California, MD · On-site +1

$137K/yr

Collaborate with data scientists to build pipelines for training and deploying machine learning ... This position is eligible for fully remote work from any location in the United States. Minimum ...

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 ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

next page

Showing results 1-20

Remote Director Machine Learning information

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

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

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

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

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

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

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

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

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

Infographic showing various Remote Director Machine Learning job openings in Maryland as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Software Engineer (Machine Translation)TS/SCI with Poly)

Fort George G Meade, MD • On-site, Remote

SOLERITY
IT Services • 51 - 200 employees

$170K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Description

 Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical Signals Intelligence (SIGINT) and cybersecurity missions.


Solerity is seeking a Machine Translation to support advanced research, development, and prototyping of Artificial Intelligence and Machine Learning solutions. This role focuses on machine translation technologies, large-scale data processing, and applied AI research to support SIGINT exploitation and cybersecurity analytics.

The ideal candidate will be experienced in modern machine learning approaches, particularly transformer-based architectures, and will contribute to the development, evaluation, and enhancement of machine translation systems and AI-driven processing pipelines.


Responsibilities Include:
  • Investigate, analyze, and develop AI and machine learning solutions supporting SIGINT and cybersecurity data exploitation. 
  • Design, build, and evaluate research prototypes for machine translation and NLP-based applications. 
  • Work with large and complex datasets to develop scalable AI-driven analytical solutions. 
  • Apply advanced research and development techniques to solve complex AI/ML technical challenges. 
  • Contribute to the design and implementation of machine translation pipelines and text processing systems. 
  • Evaluate emerging tools, models, and techniques in machine translation and natural language processing. 
  • Analyze and improve encoder/decoder transformer architectures and related AI systems. 
  • Develop and optimize AI/ML workflows and processing pipelines for performance and accuracy. 
  • Support integration and deployment of AI solutions within secure operational environments. 
  • Build and maintain containerized applications using Docker for model deployment and testing. 
  • Collaborate with senior researchers and engineers to refine AI methodologies and solutions. 
  • Propose enhancements to machine translation systems and end-to-end data processing flows. 
  • Document research findings, methodologies, and technical implementations. 
  • Additional duties may be assigned. 
REQUIREMENTS YOU BRING:
  • Bachelor's degree in Engineering, Computer Science, Mathematics, or other STEM field. 
  • 11+ years of relevant experience in AI, machine learning, data science, or related technical disciplines. 
  • Active TS/SCI with Full Scope Polygraph (FSP) clearance required. 
  • Strong experience working in research and development environments. 
  • Hands-on experience with machine learning and machine translation technologies. 
  • Solid understanding of encoder-decoder transformer architectures. 
  • Experience with modern text processing pipelines and natural language processing systems. 
  • Understanding of text embeddings and vector-based representations. 
  • Knowledge of differences between transformer-based MT systems (e.g., Marian) and large language models. 
  • Ability to evaluate and compare machine translation architectures and approaches. 
  • Experience developing AI/ML solutions using Python and C/C++. 
  • Experience with Docker for containerized development and deployment. 
  • Ability to propose and implement improvements to AI/ML systems and workflows. 
HIGHLY DESIRED QUALIFICATIONS:
  • Experience working in Intelligence Community or SIGINT-focused environments. 
  • Strong research background in machine translation or natural language processing. 
  • Experience developing or fine-tuning transformer-based AI models. 
  • Experience with distributed computing or large-scale model training environments. 
  • Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders. 
  • Experience evaluating emerging AI/ML tools and technologies in production or research settings. 
WORK LOCATION
  • Emerson III facility 
  • Telework eligible (up to 50% depending on mission requirements) 
TRAVEL
  • Minimal travel anticipated based on mission requirements

Requirements

BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


APPLY TODAY!


JOB ID- 343