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Independent Contractor Machine Learning Visa Sponsorship Jobs

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 ...

We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise ... Independent Contractor * Work Arrangement: Fully Remote * Schedule: Approximately 20 hours per week

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Responsibilities : • We are seeking someone capable of independently tackling research problems ... machine learning research and applications, evidenced by publications in competitive venues.

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Work visa/immigration sponsorship is not available for this position Base Salary Range: We ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Work visa/immigration sponsorship is not available for this position Base Salary Range: We ...

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Work visa/immigration sponsorship is not available for this position Base Salary Range: We ...

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 ...

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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Independent Contractor Machine Learning Visa Sponsorship information

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How much do independent contractor machine learning visa sponsorship jobs pay per week?

As of Aug 6, 2026, the average weekly pay for independent contractor machine learning visa sponsorship in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

What are common challenges independent contractor machine learning professionals face when working with clients who offer visa sponsorship?

Independent contractor machine learning professionals working with clients who offer visa sponsorship often encounter challenges such as navigating complex immigration requirements and ensuring their work arrangements comply with both local labor laws and visa conditions. Communication across time zones and cultural differences can also add complexity, especially when collaborating remotely with global teams. Additionally, contractors may need to manage their own taxes, benefits, and insurance independently, as these are not typically provided by the client. Building strong relationships and maintaining clear documentation are key to overcoming these challenges and ensuring successful project delivery.

What are the key skills and qualifications needed to thrive as an independent contractor in machine learning when seeking visa sponsorship?

To succeed as an Independent Contractor in Machine Learning, you need advanced knowledge of machine learning algorithms, strong programming skills (typically in Python or R), and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (e.g., AWS, Google Cloud) is common, and certifications such as AWS Certified Machine Learning or TensorFlow Developer can be advantageous. Excellent communication, self-management, and problem-solving abilities help you excel in remote or client-driven environments. These skills ensure you can deliver impactful solutions, meet client expectations, and navigate the complexities of working independently and across borders.

What is an independent contractor machine learning visa sponsorship?

An Independent Contractor Machine Learning Visa Sponsorship refers to an arrangement where a company sponsors a visa for a foreign machine learning professional who works as an independent contractor rather than as a direct employee. This setup allows skilled machine learning specialists to provide services to businesses in countries where they need a work visa, but it can be complex due to legal requirements. Some countries limit visa sponsorships to full-time employees, while others may have pathways for contractors, such as through specialized work or freelance visas. It's important for both the contractor and the sponsoring company to understand the specific immigration laws and regulations in the target country.

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

AspectIndependent Contractor Machine Learning Visa SponsorshipData Scientist Machine Learning Visa Sponsorship
CredentialsTypically requires relevant degrees and certifications in machine learning or data scienceRequires similar credentials, often including advanced degrees in data science, statistics, or related fields
Work EnvironmentFreelance or project-based, often remote, with flexible contractsUsually employed full-time by a company or research organization, with structured roles
Employer UsageHired by multiple clients or companies on a contract basisEmployed by a single organization, focusing on data analysis and modeling

Both roles require strong machine learning knowledge and relevant certifications. The key difference lies in employment type: independent contractors work on a project basis with multiple clients, while data scientists are typically full-time employees within organizations. Visa sponsorship options are available for both, depending on the employer and project scope.

What cities are hiring for Independent Contractor Machine Learning Visa Sponsorship jobs? Cities with the most Independent Contractor 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 Independent Contractor Machine Learning Visa Sponsorship jobs? States with the most job openings for Independent Contractor Machine Learning Visa Sponsorship jobs include:

Senior Machine Learning Engineer

Clera

San Francisco, CA • On-site

$70 - $75/hr

Full-time

Re-posted 2 hours 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.