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Full Time Machine Learning Visa Sponsorship Jobs

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

Vanguard Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$70 - $75/hr

This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll ... machine learning experience. * Healthcare domain experience is mandatory - including HIPAA ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$70 - $75/hr

This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll ... machine learning experience. * Healthcare domain experience is mandatory -- including HIPAA ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Type: Full-time regular W2 employment with benefits. (no C2C; no 1099; no visa sponsorship ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

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Showing results 21-40

All JobsMachine Learning Visa Sponsorship JobsFull Time Machine Learning Visa Sponsorship Jobs

Full Time Machine Learning Visa Sponsorship information

See salary details

$58K

$83.2K

$130.5K

How much do full time machine learning visa sponsorship jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time machine learning visa sponsorship in the United States is $83,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Machine Learning Visa Sponsorship vs Data Scientist Visa Sponsorship?

AspectFull Time Machine Learning Visa SponsorshipData Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience in ML algorithmsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startupsBusiness analytics, research teams, consulting firms
Employer & Industry UsageTech firms, AI companies, research institutionsFinance, healthcare, marketing, tech industries

Full Time Machine Learning Visa Sponsorship typically involves roles focused on developing and deploying machine learning models, requiring specialized technical skills. Data Scientist Visa Sponsorship often overlaps but emphasizes data analysis and statistical modeling. Both roles are in high demand in tech-driven industries, but ML roles tend to be more research and algorithm-focused, while Data Scientist roles focus on interpreting data for business insights.

More about Full Time Machine Learning Visa Sponsorship jobs
What cities are hiring for Full Time Machine Learning Visa Sponsorship jobs? Cities with the most Full Time Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Full Time Machine Learning Visa Sponsorship jobs? States with the most job openings for Full Time Machine Learning Visa Sponsorship jobs include:
What job categories do people searching Full Time Machine Learning Visa Sponsorship jobs look for? The top searched job categories for Full Time Machine Learning Visa Sponsorship jobs are:
Full Time Machine Learning Visa Sponsorship jobs near you
Infographic showing various Full Time Machine Learning Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,176 per year, or $40 per hour.

Senior Machine Learning Engineer

Vangard, Inc.

Malvern, PA

$102K - $140K/yr

Full-time

Posted 20 days ago

Job description

CoreResponsibilities

  • Design, build, and maintain end-to-end machine learning pipelines from research through production deployment.
  • Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
  • Develop and maintain feature engineering, feature storage, and data preparation pipelines.
  • Automate model deployment, testing, validation, and release processes using CI/CD practices.
  • Build batch, real-time, and event-drivenarchitectures.
  • Implement model monitoring for performance, drift detection, data quality, and operational health.
  • Partner with quantitative researchers and data scientists toproductionalizeresearch models.
  • Manage model versioning, lineage tracking, experiment management, and reproducibility.
  • Optimize model performance, scalability, reliability, and cloud cost efficiency.
  • Establish engineering standards, testing frameworks, and governance controls for ML solutions.
  • Support production operations, incident response, and continuous improvement of deployed models.

Required Qualifications:

  • Minimum of eight years related work experience, with at least three years of development experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline.
  • Strong experience building and deploying machine learning solutions in production environments.
  • Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn,PyTorch, TensorFlow, or similar).
  • Hands-on experience with AWS services, including SageMaker
  • Experience building and maintaining machine learning pipelines, feature engineering workflows, and model deployment processes.
  • Knowledge ofMLOpspractices, including CI/CD, model versioning, experiment tracking, monitoring, and automated retraining.
  • Strong understanding of software development lifecycle practices, testing strategies, and production support.
  • Ability to work effectively with researchers, data scientists, and business stakeholders to deliver business outcomes.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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