Top 95 Lead machine learning engineer Jobs in Remote]

Artificial Intelligence Program Lead
Joint Technology Solution, Inc. —Remote
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Lead AI/ML Software Engineer - Remote
UnitedHealth Group —Eden Prairie, MN
- $112,700 - $193,200 a year
- Full-time
- Remote
- Computer science
- 7 years
- Computer Science
Google Engineering Lead | AI & Data
Accenture Federal Services —Arlington, VA
- $172,400 - $360,800 a year
- Remote
- Computer Science
- US work authorization
- Military encouraged
Research Lead, Training Insights
Anthropic —Remote
- $850,000 a year
- Hybrid work
- Management
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Lead Machine Learning Engineer, Inference & Performance
Egen Solutions —Remote
- $159,300 - $250,100 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Senior level
- Paid holidays
- Health insurance
5d
Lead Machine Learning Engineer, Lifetime Value
Root Insurance Company —Remote
- $164,000 - $205,000 a year
- Remote
- Azure
- Computer Science
- 5 years
Lead Machine Learning Engineer
May Mobility —Ann Arbor, MI
- $220,000 - $270,000 a year
- Remote
- Computer Science
- Office
- Master's degree
- Wellness program
- Paid parental leave
Lead Machine Learning Engineer
Serve Robotics —Los Angeles, CA
- $225,000 - $260,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- System design
Agile Delivery Lead
Geisinger —Remote
- Full-time
- 3 years
- High school diploma or GED
- Supervising experience
- Health insurance
- Dental insurance
Lead Software Engineer
Qventus —Remote
- $170,000 - $190,000 a year
- Remote
- 6 years
- Computer Science
- Bachelor of Science
Quick Apply
Lead Machine Learning Engineer - REMOTE
Lennar —Boston, MA
- $152,600 - $190,700 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Travel
- Paid parental leave
- Health insurance
AI Engineering - Senior/Lead Engineer
FICO —Remote
- $140,000 - $220,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- System design
- Opportunities for advancement
Tech Lead Manager, AI/ML Engineering (East Coast)
NBCUniversal —New York, NY
- $245,000 - $270,000 a year
- Full-time
- Remote
- AWS
- Fair chance
- Senior level
- Health insurance
- Dental insurance
5d
Lead Machine Learning Engineer
Allergan Aesthetics —San Diego, CA
- $124,500 - $236,500 a year
- Full-time
- Remote
- Computer science
- 7 years
- Computer Science
- Paid holidays
- Health insurance
Lead QA Engineer
ADP —Roseland, NJ
- $148,990 - $206,700 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Master's degree
- Wellness program
- Disability insurance
Engineering Lead
Aidaptive —Remote
- Full-time
- Remote
- Computer science
- Computer Science
- 5 years
Quick Apply
Senior Technical Lead – AI Innovation
The Iron Group, Inc. —Remote
- $140,000 - $160,000 a year
- Online Application
- Remote
- Azure
- 8 years
- AWS
- Health insurance
- Dental insurance
Quick Apply
Lead Marketing Web Engineer/Developer
Pindrop —Remote
- $145,000 - $175,000 a year
- Remote
- 1 year
- Senior level
- HTML
- Wellness program
- Paid parental leave
Quick Apply
Lead Data Scientist
Pursuit Aerospace —Whitesboro, NY
- $144,000 - $198,000 a year
- Full-time
- Remote
- Azure
- Ability to walk for extended periods
- ERP systems
- Paid holidays
- Disability insurance
Quick Apply
10d
Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)(Remote Or Hybrid)
Target —Brooklyn Park, MN
- $132,000 - $286,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- SQL
- Paid holidays
- Disability insurance

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lead machine learning engineer jobs near remote]

Artificial Intelligence Program Lead

Joint Technology Solution, Inc.
Remote

Quick Apply

Job Details

Full-time | Contract

Benefits

Health insurance
Dental insurance
401(k)
Paid time off
Employee assistance program
Vision insurance
401(k) matching
Life insurance
Retirement plan

Qualifications

AI models
Software engineering
Teamwork
Collaboration
DevOps
Software implementation
Application deployment
Research
Enterprise software systems development
System design for system development
Production systems
Machine intelligence
Bachelor's degree
Model deployment
Data analytics
Data science
DevOps automation
AI
Implementing IT solutions
MLOps

Full Job Description

Job Summary
We are seeking an experienced Subject Matter Expert in Artificial Intelligence. This person shall provide technical Artificial Intelligence (AI) expertise and support services required to advance NWS priorities in science, research, policy, program management, and strategic implementation.

They will serve as the technical lead for AI initiatives, overseeing solution architecture, project delivery, AI/ML development, DevSecOps/MLOps practices, and stakeholder collaboration to advance enterprise AI capabilities.

This support shall include, but is not limited to, the following tasks:

Duties:

User Needs and Technical Project Management Support

Translates complex operational, scientific, and business challenges and user feedback into actionable technical requirements, system architectures, and implementation plans for AI-driven solutions.
Oversees the lifecycle of AI initiatives from a technical perspective by prioritizing features that maximize organizational value while managing resource constraints and risks.
Coordinates between cross-functional teams to ensure that project milestones and AI solutions align with enterprise architecture and cybersecurity requirements as well as meet both technical benchmarks and user expectations.

Technical Consultation and Architecture

Provides expert guidance to development teams on AI/ML architectural design, software engineering practices, data pipelines, model selection, deployment strategies, and the implementation of best practices, including testing and maintenance.
Conducts rigorous technical assessments and architecture reviews of proposed and ongoing AI projects to assess feasibility, scalability, security, performance standards, operational readiness, and risk.
Identifies potential technical bottlenecks and ethical considerations in AI workflows and recommends proactive solutions to timely and responsible delivery.
Recommend and implement best practices for software engineering, Development, Security, and Operations (DevSecOps), Machine Learning Operations (MLOps), testing, monitoring, observability, and lifecycle management of AI systems.

Technical Development

Leads the end-to-end development of AI projects for NWS enterprise priorities that do not have a development team, ensuring they are built for production-grade reliability and scalability.
Implement and support Continuous Integration and Continuous Deployment (CI/CD), DevSecOps, and MLOps practices, including automated testing, model versioning, deployment automation, monitoring, and incident response.
Troubleshoot operational issues, performance bottlenecks, and deployment challenges associated with AI systems and supporting infrastructure.
Supports the development of proof-of-concepts to test emerging AI technologies and their potential application within the enterprise.

Communications

Distills sophisticated AI architectures, concepts, engineering challenges, and model performance metrics into clear, non-technical insights for executive leadership and stakeholders.
Prepare technical documentation, implementation plans, architecture diagrams, deployment guidance, and operational support materials.
Facilitates dialogue between developers, data scientists, engineers, and product owners to maintain clarity on project goals and ensure continuous feedback.
Supports the communication of current NWS AI capabilities as well as future AI opportunities, presenting technical progress, operational risks, strategic wins, and possibilities in formal reports and briefings.
Recommend explicitly referencing Development, Security, and Operations (DevSecOps) and Machine Learning Operations (MLOps) practices. These terms communicate that the role is expected to support the operationalization of AI capabilities, including automated deployment pipelines, model versioning, security controls, monitoring, observability, and ongoing maintenance.

Experience:

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Technology, or related field.
Minimum 7-10 years of experience in software engineering, systems architecture, data science, or related technical fields.
Minimum 5 years of experience designing, developing, and implementing AI/ML solutions in production environments.
Experience leading complex technical projects involving cross-functional teams and stakeholders.
Ability to obtain and maintain a Public Trust or other required federal security clearance.
Demonstrated experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
Experience developing and deploying machine learning models in cloud environments such as AWS, Azure, or Google Cloud.
Strong knowledge of DevSecOps, MLOps, CI/CD pipelines, and software development lifecycle best practices.
Experience designing scalable system architectures and data pipelines.
Proficiency in Python and other relevant programming languages.
Experience implementing monitoring, testing, version control, and operational support for AI systems.

Benefits:

401(k)
401(k) matching
Dental insurance
Employee assistance program
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Education:

Bachelor's (Required)

Experience:

artificial intelligence: 10 years (Required)
DevOps: 5 years (Required)
MLOps: 5 years (Required)
AI: 5 years (Required)

Willingness to travel:

25% (Required)

Work Location: Remote

Quick Apply

Refine Your Search

lead machine learning engineer jobs in remote]

Artificial Intelligence Program Lead

Lead AI/ML Software Engineer - Remote

Google Engineering Lead | AI & Data

Research Lead, Training Insights

Lead Machine Learning Engineer, Inference & Performance

Lead Machine Learning Engineer, Lifetime Value

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Agile Delivery Lead

Lead Software Engineer

Lead Machine Learning Engineer - REMOTE

AI Engineering - Senior/Lead Engineer

Tech Lead Manager, AI/ML Engineering (East Coast)

Lead Machine Learning Engineer

Lead QA Engineer

Engineering Lead

Senior Technical Lead – AI Innovation

Lead Marketing Web Engineer/Developer

Lead Data Scientist

Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)(Remote Or Hybrid)

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