Top 2235 machine learning Jobs in washington dc

Lead AI Engineer
iAdeptive Technologies —Columbia, MD
- From $140,000 a year
- Full-time
- Hybrid work
- Background check
- System design
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
Lead Data Scientist
Association of American Medical Colleges —Washington, DC
- $140,250 - $165,000 a year
- Full-time
- SQL
- Analysis skills
- Children
- Paid parental leave
- Paid holidays
Computational Scientist - AI Trainer
DataAnnotation —Vienna, VA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
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Software Engineer - AI Trainer
DataAnnotation —Fort Meade, MD
- $50 - $100 an hour
- Contract
- Remote
- English
- Mid-level
- Bachelor's degree
- Flexible schedule
AI Engineer
CGI Group, Inc. —Washington, DC
- $79,600 - $172,400 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Paid parental leave
- Paid holidays
AI/ML Engineer
Vantor —McLean, VA
- $113,000 - $188,000 a year
- Full-time
- 6 years
- Doctoral degree
- Computer Science
- 401(k) matching
- Pet insurance
8d
AI Engineer II
Axle —Rockville, MD
- $120,000 - $150,000 a year
- Remote
- 5 years
- Mid-level
- Mentoring
- Paid holidays
- Health insurance
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AI Engineer
Platinum Technologies —Washington, DC
- $160,000 - $180,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Health savings account
- Health insurance
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9d
Data Scientist
Advent Services —Washington, DC
- Full-time
- Remote
- Computer Science
- Mid-level
- Master's degree
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Research Data Scientist
Swayable —Washington, DC
- $125,000 - $165,000 a year
- Remote
- Computer Science
- Mid-level
- Master's degree
- Health insurance
- Dental insurance
Engineer I, AI Agents
AARP —Washington, DC
- $97,200 - $108,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Writing skills
- Paid holidays
- Health insurance
5d
DATA SCIENTIST
Peraton —Washington, DC
- $112,000 - $179,000 a year
- Computer Science
- 5 years
- SQL
- Health savings account
- Paid holidays
Data Scientist
PotomacWave —Washington, DC
- $125,000 - $155,000 a year
- Full-time
- Computer Science
- Java
- Master's degree
Associate Data Scientist
Yext —Washington, DC
- $124,650 - $207,500 a year
- Email
- Computer Science
- Writing skills
- Mid-level
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Data Scientist
Two Six Technologies —Arlington, VA
- $100,000 - $150,000 a year
- Email
- Remote
- Computer Science
- English
- 3 years
Quick Apply
Senior Generative AI Engineer
OpenDataJobs —Washington, DC
- $140,000 - $180,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Research
- Disability insurance
- Health insurance
Quick Apply
Data Scientist
EMI Advisors LLC —Bethesda, MD
- $90,000 - $145,000 a year
- Full-time
- Hybrid work
- Computer Science
- Bachelor of Science
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Applied Data Scientist (Contract)
Civis Analytics —Washington, DC
- $80,000 a year
- Contract
- Remote
- Computer Science
- Mid-level
- US work authorization
- Commuter assistance
- Paid parental leave
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Machine Learning Engineer II
GEICO —Bethesda, MD
- $105,000 - $215,000 a year
- Online Application
- Hybrid work
- Azure
- Computer Science
- System design
- Health insurance
- Tuition reimbursement
6d
Data Scientist
HiddenLayer —Washington, DC
- Remote
- Mid-level
- 3 years
- Doctor of Philosophy
- Paid holidays
- Dental insurance
Quick Apply

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machine learning jobs near washington dc

Lead AI Engineer

iAdeptive Technologies -
Columbia, MD

Quick Apply

Job Details

Full-time
From $140,000 a year

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching
Professional development assistance
Life insurance

Qualifications

AI models
Software engineering
Generative models
AI platforms (beyond public GPTs)
Computational framework
Bachelor's degree
Model deployment
Implementation (software development lifecycle)
Developing large-scale AI models
Data pipelines
APIs
Monitoring system implementation
System development
DevOps automation
Machine learning libraries
Model evaluation
Machine learning frameworks
Responsible AI
Project stakeholder communication
MLOps
Generative AI
Stakeholder management

Full Job Description

iAdeptive is looking for an AI engineer who is already building the systems that others are still talking about. You deeply embed with federal clients as their technical AI lead — owning the full arc from ideation to prototype to production to scale — while simultaneously driving iAdeptive's AI practice, governance standards, and technical reputation forward.

HANDS-ON FIRST

You ship code every week — no exceptions. Production LLM pipelines, agentic workflows, RAG systems, and evaluation harnesses are your daily output. You own problems end-to-end and pick up whatever knowledge you're missing to get the job done.

AI-AUGMENTED, NOT AI-DEPENDENT

You use Cursor, Copilot, Claude Code, and frontier tools to move fast. You also know exactly why a vibe-coded black box is a liability in federal production. You can read the diff, explain the logic, own the deployment — and write the Architecture Decision Record that documents why.

TREND LEADER

You have a point of view on what OpenAI, Anthropic, Google DeepMind, and Mistral shipped last week. You know where LangGraph, CrewAI, and the agentic framework ecosystem are heading. You brief iAdeptive leadership proactively and position the company ahead of the curve.

What You Will Do

Deeply embed with federal agency clients as the technical AI lead — from ideation through prototype, production, and scale
Work with senior stakeholders to identify the highest-value GenAI applications and build a comprehensive, prioritized AI backlog to support their roadmap
Design, build, and deploy production-grade LLM, RAG, and agentic AI systems using LangChain, LangGraph, CrewAI, and OpenAI/Anthropic APIs
Design and implement multi-step autonomous task execution architectures and secure multi-agent workflows for federal mission use cases
Define AI architecture standards, reference architectures, and Architecture Decision Records (ADRs) aligned with federal technology frameworks (NIST AI RMF, FedRAMP)
Lead AI risk assessments and Algorithmic Impact Assessments (AIAs) — identifying and mitigating bias, privacy harms, and unintended consequences
Apply privacy-preserving AI techniques including federated learning and differential privacy where mission requirements demand them
Build model evaluation harnesses, observability tooling, model cards, system cards, and AI use-case inventories
Ensure AI systems support data lineage, model versioning, audit logging, and reproducibility for federal compliance
Integrate privacy-by-design and security-by-design throughout the AI system development lifecycle
Synthesize and deliver high-signal feedback on model capabilities and platform gaps to iAdeptive leadership
Mentor engineers on AI tooling, prompt engineering, and responsible deployment; codify best practices and publish reusable resources

What We're Looking For

7+ years of software or ML engineering with 3+ years building production AI/ML systems
Deep hands-on experience with LLM APIs, vector databases, embedding pipelines, and retrieval architectures
Proficiency in Python; strong grasp of AI/LLM best practices; JavaScript/TypeScript a plus
Hands-on experience with agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, or equivalent
Experience with MLOps: experiment tracking, model versioning, CI/CD for ML, monitoring and observability
Working knowledge of responsible AI: bias detection, explainability, audit trails, algorithmic impact assessment
Familiarity with privacy-preserving techniques (federated learning, differential privacy) for regulated environments
Proven ability to drive multiple concurrent projects and prioritize ruthlessly in fast-moving environments
Effective, polished communicator — translates AI concepts to engineers, executives, and federal clients equally well
Bachelor’s degree required; advanced degree preferred
We offer remote flexibility, with a preference for candidates local to Maryland.

Bonus Points

Federal contracting, government IT, or public sector implementation experience (U.S. federal preferred)
Active security clearance or ability to obtain one (TS/SCI a significant plus)
Experience with NLP, computer vision, or generative AI in regulated industries (healthcare, defense, finance)
Familiarity with federal AI policy frameworks: NIST AI RMF, OMB AI guidance, Executive Orders on AI
Founding engineer or startup experience — people who have built something from zero
Contributions to open-source AI projects or published applied research

Competencies & What They Look Like at iAdeptive

Competency

What It Looks Like at iAdeptive

Technical Credibility

Earns trust from engineers and scientists through depth of knowledge — demonstrates mastery by shipping, not presenting.

Strategic Thinking

Translates federal mission objectives into actionable AI architecture strategies, roadmaps, and prioritized backlogs.

Responsible Innovation

Proactively identifies ethical, equity, and safety considerations; champions responsible AI before clients ask for it.

Stakeholder Influence

Builds consensus across diverse stakeholders; communicates effectively with engineers, executives, and agency partners.

Accountability

Takes ownership of architecture decisions and outcomes; maintains clear ADRs, documentation, and decision rationale.

Adaptability

Rapidly assimilates emerging AI technologies and policy changes; adjusts iAdeptive's approach before the market catches up.

Collaboration

Partners effectively across iAdeptive teams, federal clients, systems integrators, and implementation partners.

Why iAdeptive

We are a federal technology company building AI systems at the intersection of mission impact and engineering excellence. You will have the autonomy of a founding engineer with the stability of the federal contracting market. The problems are hard. The data is real. The stakes matter.

Job Type: Full-time

Pay: From $140,000.00 per year

Benefits:

401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Professional development assistance
Vision insurance

Education:

Bachelor's (Required)

Experience:

software or ML engineering : 7 years (Required)

Work Location: Hybrid remote in Columbia, MD 21046

Quick Apply

Refine Your Search

machine learning jobs in washington dc

Lead AI Engineer

Lead Data Scientist

Computational Scientist - AI Trainer

Software Engineer - AI Trainer

AI Engineer

AI/ML Engineer

AI Engineer II

AI Engineer

Data Scientist

Research Data Scientist

Engineer I, AI Agents

DATA SCIENTIST

Data Scientist

Associate Data Scientist

Data Scientist

Senior Generative AI Engineer

Data Scientist

Applied Data Scientist (Contract)

Machine Learning Engineer II

Data Scientist

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