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Machine Learning Visa Sponsorship Jobs (NOW HIRING)

We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

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 ...

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... We are unable to sponsor or take over sponsorship of an employment Visa at this time.***Health ...

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 ...

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 ...

About the Role We are an IT services consultancy placing a Senior Machine Learning Engineer with ... Visa Sponsorship: Not available -- US work authorization required. Location Based in Palo Alto, CA

New

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 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 ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/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 ...

Showing results 21-40

Machine Learning Visa Sponsorship information

See salary details

$25.5K

$42.6K

$88K

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

As of Aug 17, 2026, the average yearly pay for machine learning visa sponsorship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning visa sponsorship?

A Machine Learning Visa Sponsorship job is a role in the field of machine learning where an employer is willing to sponsor a work visa for a qualified candidate. These jobs are typically offered by companies facing a shortage of local talent and seeking skilled professionals from other countries. Sponsorship can cover visas such as the H-1B (U.S.), Skilled Worker visa (UK), or other work permits depending on the country. Candidates usually need strong expertise in machine learning, AI, data science, or related fields. Employers may also assist with relocation and legal work authorization processes.

What do machine learning professionals do in companies offering visa sponsorship?

As a Machine Learning professional in a visa-sponsored role, you’ll typically work on projects involving data preprocessing, developing and training models, and deploying solutions to solve real-world business problems. Your daily responsibilities may include collaborating with data engineers and domain experts, conducting experiments, optimizing algorithms, and communicating findings to both technical and non-technical stakeholders. Teams are often international and diverse, providing valuable cross-cultural experience and opportunities for personal growth. Many companies also encourage ongoing learning and offer pathways to progress into senior or specialized roles, making this a great environment to advance your career.

What skills and qualifications are needed for machine learning visa sponsorship?

To thrive in a Machine Learning role with visa sponsorship, candidates typically need a strong background in computer science, statistics, and mathematics, often supported by a relevant degree or equivalent experience. Proficiency with programming languages such as Python or R, experience with popular machine learning libraries (like TensorFlow, PyTorch, or scikit-learn), and familiarity with cloud computing platforms are commonly required, as are certifications like AWS Certified Machine Learning. Strong problem-solving abilities, communication skills, and the ability to collaborate effectively in diverse teams help candidates stand out. These skills are critical for building robust, scalable machine learning solutions while working efficiently in international and multidisciplinary environments.

What cities are hiring for Machine Learning Visa Sponsorship jobs?

Cities with the most 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 Machine Learning Visa Sponsorship jobs?

States with the most job openings for Machine Learning Visa Sponsorship jobs include:

Infographic showing various Machine Learning Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer, Specialist

Vanguard

Malvern, PA

$112K - $134K/yr

Full-time

Re-posted 16 days ago


Job description

We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, applied GenAI, and significant experience with large datasets and AWS cloud-based AI/ML services.

Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment.

Core Responsibilities

  • Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL).

  • Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.

  • Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.

  • Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.

  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.

  • Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.

  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Undergraduate degree or equivalent experience; a graduate degree is preferred.

  • Minimum of 5 years of relevant work experience.

  • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).

  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.

  • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.

  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.

  • Experience with API design and development is a plus.

  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.

  • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.

  • Understanding of solution architecture for building end-to-end machine learning data pipelines.

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.