AI ML Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's AI/ML engineering market is anchored by Cigna, United Technologies, and Yale New Haven Health in Hartford and New Haven, alongside a growing cluster of fintech and insurtech firms in Stamford. Employers across these sectors regularly sponsor H-1B visas for qualified candidates, making Connecticut a steady market for international AI/ML engineers.
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Get Access To All JobsAI/ML ENGINEER (SENIOR / LEAD)
United Health Group/Virtusa
6-12 Months
Windsor, CT
Key Responsibilities:
10 Years | Google CCAI Focus
We’re hiring AI/ML Engineers across multiple levels to build and scale enterprise Machine Learning and Generative AI solutions with a strong emphasis on Google CCAI.
What You’ll Do
- Build and deploy ML & GenAI models (Gemini, GPT‑4, Claude, etc.)
- Develop end‑to‑end ML pipelines: data prep → training → deployment → monitoring
- Integrate AI capabilities into enterprise platforms (e.g., Salesforce)
- Ensure Responsible AI: fairness, privacy, compliance
- Work with cross‑functional teams to deliver business‑ready AI solutions (Senior/Lead)
- Mentor engineers and lead ML/GenAI architecture decision
What We’re Looking For
Experience:
- 10 years in ML/AI engineering (level depends on experience)
- Strong Python skills + ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain)
- Cloud experience — GCP preferred
- Hands‑on Generative AI / LLM experience
- Enterprise integration experience (Salesforce is a plus)
- Google CCAI experience is highly preferred
Nice to Have
- CRM platform experience
- Understanding of ethical/responsible AI
- Agile/DevOps/MLOps experience
- Team leadership or mentoring (for senior roles)
AI/ML ENGINEER (SENIOR / LEAD)
United Health Group/Virtusa
6-12 Months
Windsor, CT
Key Responsibilities:
10 Years | Google CCAI Focus
We’re hiring AI/ML Engineers across multiple levels to build and scale enterprise Machine Learning and Generative AI solutions with a strong emphasis on Google CCAI.
What You’ll Do
- Build and deploy ML & GenAI models (Gemini, GPT‑4, Claude, etc.)
- Develop end‑to‑end ML pipelines: data prep → training → deployment → monitoring
- Integrate AI capabilities into enterprise platforms (e.g., Salesforce)
- Ensure Responsible AI: fairness, privacy, compliance
- Work with cross‑functional teams to deliver business‑ready AI solutions (Senior/Lead)
- Mentor engineers and lead ML/GenAI architecture decision
What We’re Looking For
Experience:
- 10 years in ML/AI engineering (level depends on experience)
- Strong Python skills + ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain)
- Cloud experience — GCP preferred
- Hands‑on Generative AI / LLM experience
- Enterprise integration experience (Salesforce is a plus)
- Google CCAI experience is highly preferred
Nice to Have
- CRM platform experience
- Understanding of ethical/responsible AI
- Agile/DevOps/MLOps experience
- Team leadership or mentoring (for senior roles)
AI ML Engineer Job Roles in Connecticut
See all 27+ AI ML Engineer Jobs in Connecticut
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Search AI ML Engineer Jobs in ConnecticutAI ML Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for AI/ML engineers?
Connecticut's largest H-1B sponsors for AI/ML engineering roles include Cigna, Travelers Insurance, and United Technologies in the Hartford area, along with financial services firms like Synchrony and Charter Communications in Stamford. Yale University and the University of Connecticut also sponsor international AI/ML researchers. Smaller insurtech and healthtech startups in the state have begun sponsoring as well, though less consistently than established corporations.
Which visa types are most common for AI/ML engineer roles in Connecticut?
The H-1B is by far the most common visa for AI/ML engineers in Connecticut, as these roles consistently qualify as specialty occupations requiring a bachelor's degree or higher in computer science, machine learning, or a related field. Candidates already holding an F-1 OPT or STEM OPT extension can work before H-1B sponsorship begins. O-1A visas occasionally apply for engineers with documented exceptional contributions, such as published research or significant industry recognition.
How to find ai ml engineer visa sponsorship jobs in Connecticut?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it a practical starting point for AI/ML engineer roles in Connecticut. You can filter jobs by state to surface Connecticut-based positions at companies with confirmed H-1B sponsorship histories. Focusing your search on Hartford, Stamford, and New Haven, where employer density is highest, will return the most relevant results for this role type.
Which cities in Connecticut have the most AI/ML engineer sponsorship jobs?
Hartford is Connecticut's leading city for AI/ML engineering sponsorship, driven by its concentration of insurance and financial services employers with established H-1B programs. Stamford follows closely, particularly for roles in fintech and media technology. New Haven attracts AI/ML engineers through Yale University affiliates and a growing biotech sector. Bridgeport and Norwalk have a smaller but emerging presence, mostly tied to mid-sized technology companies.
Are there any Connecticut-specific considerations for AI/ML engineers pursuing visa sponsorship?
Connecticut's insurance and financial services industries drive significant demand for AI/ML engineers, meaning many sponsoring employers here focus on applied machine learning for risk modeling, fraud detection, and claims automation rather than pure research roles. Employers must meet Department of Labor prevailing wage requirements for the specific job location within Connecticut, which can differ between Hartford, Stamford, and smaller markets. The University of Connecticut and Yale both serve as talent pipelines for regional employers actively sponsoring international graduates.
What is the prevailing wage for sponsored ai ml engineer jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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