Top 169 Lead machine learning engineer Jobs in Remote Work

Google Engineering Lead | AI & Data
Accenture Federal Services —Arlington, VA
- $172,400 - $360,800 a year
- Remote
- Computer Science
- US work authorization
- Military encouraged
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
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 - REMOTE
Lennar —Atlanta, GA
- Full-time
- Remote
- Computer Science
- 5 years
- Travel
- Paid parental leave
- Health insurance
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
Lead Machine Learning Engineer
NobleAI —Houston, TX
- $190,000 - $205,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
Quick Apply
5d
Lead Machine Learning Engineer
May Mobility —Ann Arbor, MI
- $220,000 - $270,000 a year
- Remote
- Computer Science
- Research
- Office
- 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
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Path Robotics —Columbus, OH
- Remote
- Computer science
- Computer Science
- 5 years
- Paid parental leave
- Health insurance
Quick Apply
Research Lead, Training Insights
Anthropic —Remote
- $850,000 a year
- Hybrid work
- Management
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Lead Healthcare Integration Engineer
Verisma —Remote
- $140,000 - $160,000 a year
- Full-time
- Remote
- Computer Science
- DevOps
- HIPAA
5d
Principal Engineer Tech Lead Manager, ML Acceleration
Motional —San Francisco, CA
- $240,000 - $330,000 a year
- Remote
- Computer science
- Azure
- Computer Science
Quick Apply
Lead Healthcare Interoperability Engineer
Verisma —Remote
- $140,000 - $160,000 a year
- Full-time
- Remote
- Computer Science
- DevOps
- HIPAA
5d
Lead Data Engineer, Healthcare Interoperability
Verisma —Remote
- $140,000 - $160,000 a year
- Full-time
- Remote
- Computer Science
- DevOps
- HIPAA
6d
Lead Software Engineer
Qventus —Remote
- $170,000 - $190,000 a year
- Remote
- 6 years
- Computer Science
- Bachelor of Science
Quick Apply
Lead Data Engineer - Databricks & Microsoft Fabric
Lighthouse MTG LLC —Lincoln, RI
- Remote
- 7 years
- Azure
- Mentoring
Quick Apply
Engineering Team Lead
Allyable —Remote
- Email
- Remote
- Computer science
- Azure
- Computer Science
- Opportunities for advancement
Engineering Lead
Aidaptive —Remote
- Full-time
- Remote
- Computer science
- Computer Science
- 5 years
Quick Apply
Engineer Lead - Assessments Applications
Law School Admission Council —Newtown, PA
- $125,000 - $133,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
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

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Google Engineering Lead | AI & Data

Accenture Federal Services -
Arlington, VA

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Job Details

$172,400 - $360,800 a year

Qualifications

Data transformation pipeline development
Software product demonstrations
Team leadership
Integration Architecture Design (Architecture design skills)
AI platforms (beyond public GPTs)
Enterprise software systems development
Digital transformation
Machine learning cloud services
Machine intelligence
Model deployment
Developing large-scale AI models
Prototype creation
Systems engineering
Cloud Native Design
Leading team collaboration initiatives
Product demos
B2G
Prototypes

Full Job Description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

You Are:

Accenture Federal Services (AFS) is seeking a Google Engineering Lead to join our AI & Data Practice. This high-visibility role is designed for a technical leader who excels at the intersection of pre-sales strategy, enterprise-scale architecture, and hands-on engineering execution. In this capacity, you will serve as the lead engineer for our GTM initiatives with Google, driving the technical vision for new federal pursuits. You will be responsible for both the high-level architectural strategy in client-facing environments and the hands-on leadership of engineering teams developing functional prototypes.

Key Responsibilities

Strategic GTM Enablement: Collaborate with practice and account leaders to identify emerging federal market requirements and translate them into robust, GCP-native solution offerings.
Solution Architecture & Design: Serve as the Lead Solution Engineer for new opportunities. You will be responsible for designing end-to-end, secure, and scalable architectures that integrate the breadth of Google's ecosystem – including but not limited to Google's Gemini models, Vertex AI Model Garden, BigQuery, and and Agent Builder.
Pre-Sales Technical Leadership: Lead technical discovery and solutioning for high-priority federal pursuits. Act as the primary Subject Matter Expert (SME) during client workshops to articulate the value and feasibility of Google Cloud technologies.
Rapid Prototyping Lead: Direct the end-to-end development of Proofs of Concept (PoCs) and prototypes. This includes defining the technical roadmap, selecting the appropriate GCP services, and serving as the lead engineer to ensure a successful "build" for pursuit-related milestones.

Professional Qualifications

Extensive Experience: A minimum of 10 years of experience in systems engineering, cloud architecture, or technical consultancy, with a minimum of 4 years of specialized expertise in Google Cloud Platform (GCP).
Enterprise Solution Architecture: Proven ability to design holistic, multi-service architectures that solve mission-critical federal challenges. You must be able to navigate trade-offs between cost, performance, and security while ensuring alignment with the client's long-term digital transformation goals.
Innovation-Led Pre-Sales Expertise: Proven success as a lead engineer in the end-to-end lifecycle of high-fidelity prototypes that drive market interest. This includes:
- Translating complex federal mission challenges into functional, tangible GCP solutions.
- Designing and executing "North Star" demonstrations that illustrate the future state of a client's environment.
- Leading the "Proof of Value" phase by building functional software, data pipelines, or AI models that validate AFS's technical differentiators to senior federal stakeholders.
Engineering Proficiency: Advanced, hands-on experience in developing and deploying cloud-native applications and data pipelines. Deep technical expertise in Vertex AI, CCAI, GKE, and BigQuery is highly prioritized.
AI/ML Lifecycle Expertise: Proven experience designing, developing, and deploying production-grade AI/ML solutions and architectures including LLM-based applications, computer vision, Agentic AI, and RAG.
Federal Domain Knowledge: Comprehensive understanding of the federal IT landscape, including security requirements (FedRAMP/ATO processes), legacy application landscape, and procurement cycles.
Team Leadership: Experience guiding multi-disciplinary engineering teams through the rapid development of high-fidelity prototypes to support new opportunities.

Education and Certifications

Bachelor's degree in Computer Science, Engineering, or a related technical field.
Required: Google Cloud Professional Cloud Architect.
Preferred: Additional certifications in Google Cloud Data Engineering, Security, or Machine Learning.

The Extras:

US Citizenship Required

What We Believe

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.

Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.

Requesting An Accommodation

Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Apply Now

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lead machine learning engineer jobs in remote work

Google Engineering Lead | AI & Data

Lead AI/ML Software Engineer - Remote

Lead Machine Learning Engineer, Lifetime Value

Lead Machine Learning Engineer - REMOTE

Lead Machine Learning Engineer, Inference & Performance

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation

Research Lead, Training Insights

Lead Healthcare Integration Engineer

Principal Engineer Tech Lead Manager, ML Acceleration

Lead Healthcare Interoperability Engineer

Lead Data Engineer, Healthcare Interoperability

Lead Software Engineer

Lead Data Engineer - Databricks & Microsoft Fabric

Engineering Team Lead

Engineering Lead

Engineer Lead - Assessments Applications

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

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