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Senior Machine Learning Visa Sponsorship Jobs (NOW HIRING)

... for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML ... This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll ...

... for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML ... This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll ...

New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry leader in many different facets, such as ...

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

PitchBook, a Morningstar company, is seeking a Senior Machine Learning Engineer to join their ... need for visa sponsorship now or in the future Preferred : • Advanced degree preferred • ...

* Senior Machine Learning Engineers needed for high growth tech company * Austin, TX - must be willing to work in office 4 days a week * High competitive salary + equity + strong benefits Senior ...

New

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary ...

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 ...

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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 2, 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:
Infographic showing various Senior Machine Learning Visa Sponsorship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Senior Machine Learning Engineer

Clera

San Francisco, CA • On-site

$70 - $75/hr

Full-time

Re-posted 26 days ago


Job description

About the Role
A growing AI and Data Science team at a healthcare-focused company is looking for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML initiatives. This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll work in a fast-paced environment building production-grade ML solutions that directly impact patient outcomes and healthcare operations - with a strong emphasis on compliance, reliability, and end-to-end ownership.
Ideal candidates bring 8+ years of professional ML engineering experience and a mandatory background in the healthcare industry, including hands-on experience with HIPAA-compliant systems and sensitive patient data.
What You'll Do
  • Own the full ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and maintenance.
  • Design and build scalable, production-ready ML systems with high availability, performance, and reliability.
  • Develop and maintain MLOps pipelines - including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies.
  • Monitor production models for drift (model, data, accuracy degradation) and overall system health.
  • Build and integrate REST APIs to connect ML services into enterprise cloud applications.
  • Optimize models for latency, scalability, reliability, and operational cost.
  • Provide technical leadership on AI/ML initiatives across the organization.
  • Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders.
  • Ensure strict compliance with HIPAA, PHI, PII, and enterprise security standards throughout all ML workflows.
What We're Looking For
Required - Dealbreakers:
  • 8+ years of professional software engineering and machine learning experience.
  • Healthcare domain experience is mandatory - including HIPAA compliance and handling of sensitive patient data (PHI/PII).
  • Demonstrated ownership of end-to-end ML lifecycle from data preparation through deployment, monitoring, and retraining.
  • Experience designing and operating production-grade ML systems at scale.
  • Hands-on MLOps: CI/CD pipelines, model registry, feature stores, automated deployment, monitoring, and rollback.

Required Technical Skills:
  • Languages: Python, SQL
  • Platforms: Databricks (production), Apache Spark (distributed computing), MLflow, Feature Store, Model Registry
  • Cloud: Azure, AWS, and/or GCP for ML workloads
  • Infrastructure: Docker, Kubernetes, REST APIs, Git, CI/CD pipelines
  • Strong debugging and performance-tuning skills; excellent stakeholder communication.

Nice to Have:
  • LLMs in production, prompt engineering, RAG, and/or GenAI applications
  • Scala
  • Azure ML, SageMaker, or Vertex AI
  • Distributed ML architecture design
  • HIPAA-compliant AI solution design experience
Compensation & Details
  • Rate: $70-75/hr on W2 (equivalent to ~$145,600-$156,000 annualized)
  • Type: W2 Contract
  • Visa sponsorship: Not available - open to all work-authorized candidates
Location
Primary location: San Francisco, CA. Additional locations considered include Los Angeles, CA and New York City, NY. Remote-friendly role.