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Senior Machine Learning Visa Sponsorship Jobs (NOW HIRING)

Vangard, Inc.

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 ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $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

Senior Machine Learning Engineer

San Francisco, CA · On-site

$160K - $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

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $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

Senior Machine Learning Engineer

San Francisco, CA · On-site

$160K - $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 ...

Visa

Sr ML Engineer

Foster City, CA

$145K/yr

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Senior Machine Learning Engineer - Merchant Data Platform: We are looking for a Senior ...

Visa

Sr ML Engineer

Foster City, CA · On-site

$145K/yr

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Senior Machine Learning Engineer - Merchant Data Platform: We are looking for a Senior ...

Visa

Sr ML Engineer

Foster City, CA · On-site

$145K/yr

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Senior Machine Learning Engineer - Merchant Data Platform: We are looking for a Senior ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

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All JobsMachine Learning Visa Sponsorship JobsSenior Machine Learning Visa Sponsorship Jobs

Senior Machine Learning Visa Sponsorship information

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$24K

$99K

$167K

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

As of Aug 8, 2026, the average yearly pay for senior machine learning visa sponsorship in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Visa SponsorshipData Scientist Visa Sponsorship
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with ML frameworksDegree in CS, statistics, or related; proficiency in data analysis tools
Work EnvironmentResearch labs, AI startups, tech companies focusing on ML projectsBusiness analytics, data analysis teams across industries
Employer & Industry UsageTech firms, AI companies, research institutionsFinance, healthcare, marketing, and tech sectors

While both roles require strong technical skills and relevant degrees, Senior Machine Learning roles focus on developing advanced ML models, whereas Data Scientist roles emphasize data analysis and insights. Visa sponsorship processes are similar, but the job focus and required expertise differ slightly.

More about Senior Machine Learning Visa Sponsorship jobs
What cities are hiring for Senior Machine Learning Visa Sponsorship jobs? Cities with the most Senior 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 Senior Machine Learning Visa Sponsorship jobs? States with the most job openings for Senior Machine Learning Visa Sponsorship jobs include:
What job categories do people searching Senior Machine Learning Visa Sponsorship jobs look for? The top searched job categories for Senior Machine Learning Visa Sponsorship jobs are:
Senior Machine Learning Visa Sponsorship jobs near you
Infographic showing various Senior 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 $99,008 per year, or $47.6 per hour.

Senior Machine Learning Engineer

Vangard, Inc.

Malvern, PA • On-site

$102K - $140K/yr

Full-time

Posted 21 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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