1

Mobile Machine Learning Jobs in Washington, DC (NOW HIRING)

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

Digital is an innovative solutions development company that combines agile development services with next‑generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

AI Model Developer

Ashburn, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking a highly skilled AI Model Developer with expertise in machine learning ... Integrate AI models into web and mobile applications. * Ensure scalability, security, and ...

Our client is establishing an AI Lab to explore and implement generative AI and machine learning ... Download the Sparks Group mobile app from Apple App Store or Google Play . ----- Sparks Group is an ...

Showing results 21-40

Mobile Machine Learning information

See Washington, DC salary details

$13

$28

$135

How much do mobile machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for mobile machine learning in Washington, DC is $28.68, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.88 per hour, depending on experience, location, and employer.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

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

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

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

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Washington, DC?

The most popular types of Machine Learning jobs in Washington, DC are:

AI/Machine Learning Engineer 2

Columbia Technology Partners

Annapolis, MD • On-site

Other

Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Description:
Columbia Technology Partners is seeking an AI/ML Engineer to support mission-critical intelligence operations within a fast-paced national security environment. In this role, you will work directly with mission users to capture complex analytical workflows, identify operational decision points, and develop AI-enabled solutions that improve efficiency, accessibility, and decision-making.
The ideal candidate will have experience designing and implementing AI-driven workflows, integrating large language models (LLMs) into operational processes, and developing solutions that operate effectively within secure enterprise environments. You will collaborate closely with analysts, operators, developers, and mission leadership to deliver scalable capabilities that align with mission requirements and security expectations.
Key Responsibilities:
  • Capture and document user workflows, translating operational needs into automation requirements and executable solutions.
  • Design, develop, and implement AI/ML capabilities including LLM-powered workflows, agentic automation, and hybrid AI solutions.
  • Integrate AI systems with APIs, enterprise data sources, and mission platforms.
  • Develop and maintain Python-based applications and automation tools.
  • Collaborate with technical and mission stakeholders to ensure reliable deployment and operational effectiveness.
  • Ensure solutions comply with security, governance, and performance requirements within classified environments.

Qualifications:
  • Bachelor's degree and 14+ years of experience, including 3+ years supporting AI/ML, data science, or software engineering initiatives within cyber, intelligence, or national security environments.
  • Experience capturing operational workflows and translating requirements into automation, process maps, or executable solutions.
  • Experience designing and implementing LLM-powered or agentic workflows, including orchestration and tool integration.
  • Experience integrating AI capabilities with APIs, enterprise data sources, and mission platforms.
  • Strong Python development skills and experience building production-ready applications or automation solutions.

Desired Skills:
  • Experience engineering and deploying AI capabilities within on-premises, air-gapped, or multi-classification environments.
  • Experience with AWS and/or Azure, particularly in restricted or mission-focused environments.
  • Experience with AI development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
  • Experience with machine learning frameworks including PyTorch, TensorFlow, vLLM, or llama.cpp.
  • Familiarity with cyber intelligence workflows, operational analytics, and mission-focused data environments; a Master's degree in a related technical field is a plus.

Requirements:
  • U.S. Citizenship is required for all applicants. CTP is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.
  • Certification Requirements:
    • DOD 8570 Certification

This position requires an active Security Clearance with appropriate Polygraph.
About us:
Founded in 2007, Columbia Technology Partners is a Service-Disabled Veteran Owned Small Business with a specialization in technology and management consulting committed to solving intricate and sensitive technology issues facing corporations and federal agencies. Since its inception, CTP has been instrumental in the technical design, engineering development, operational deployment, and support of key systems. With a proven track record in information security, project management, systems/network engineering, security risk management, vulnerability assessments, and mobile security implementation; our employees have the experience, expertise, and innovative thinking our customers need for results that exceed expectations. CTP staff have worked closely with both government engineers and management to gather mission requirements, develop the architecture to deliver the needed functionality and assess tools available to meet or exceed the needs of the mission.
At Columbia Technology Partners (CTP), we are united in being the best that we can be as individuals, but our core belief is that we can be better together. Together we will take on each mission with an execution process that authentically represents who we are. Our success relies on our team values, the foundation we built around them, and the Partners we become along the way.
That's why our pay is competitive, our missions are critical, and our benefits
represent what matters most to CTP: Our People.
Salary Range Transparency
At Columbia Technology Partners we are committed to transparency and fairness in our compensation practices. We believe in creating a work environment where employees feel valued, empowered, and rewarded for their contributions.
How We Determine Salary Ranges
Our salary ranges are based on the following key factors:
  • Job Role and Responsibilities: The specific duties and responsibilities associated with each role form the foundation of our compensation structure.
  • Market Research and Industry Benchmarks: We conduct regular analysis of market trends and salaries across our industry, using reliable compensation data to ensure we stay competitive.
  • Experience and Qualifications: An individual's experience, education, certifications, and specialized skills all contribute to determining their position within a salary range.
  • Location: Salary ranges may be adjusted based on geographic cost of living, in accordance with local and national standards.
  • Company Performance: Our compensation practices also take into account overall company performance and financial health, ensuring that we maintain sustainability while rewarding our team.

Really good benefits, for really GREAT people:
From our CTP Family to yours, we know how important these decisions are. Your benefits are about you, not us. Tell us what you need in order to see a future at CTP; let's get where you're going, together.
Medical: CTP offers 3 superior plans, bringing our employees both in-network and out-of-network options.
Vision + Dental: Both free to you + paid in full by CTP.
Retirement: 401k - 6% company contribution
PTO + Leave: A work life balance is extremely important to our team here at CTP, which is why our paid time off plans are so lucrative. Offering customizable leave plans to meet your needs is just one of our many perks! Jury Duty, Bereavement + Military Leave provided.
Career Growth: Up to $10,000 provided for approved career-related learning, training, education, and/or tuition.
Life and AD&D Insurance/Short-Term & Long-Term Disability: More peace of mind, at zero cost to you.
Profit Sharing Bonus: End of year cash gets added to your bottom-line.
Referral Bonus Program: Our tiered program provides an incentive with each stage of the hiring process your referral passes. Our bonuses range from $7,000-$20,000, if your referral joins the team.
Columbia Technology Partners is an Equal Opportunity Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. Our EEO policy reflects our commitment to ensure equality and promote diversity and inclusion in the workplace. Our policy applies to all employees, job candidates, contractors, stakeholders, partners, and visitors.
CTP was voted one of the top 25 best places to work in Baltimore by Baltimore Magazine!