ML Software Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's ml software engineer job market centers on Stamford's finance and insurance tech sector, Hartford's insurance industry giants like The Hartford and Travelers, and a growing corridor of biotech and defense firms. Companies here regularly sponsor H-1B and O-1 visas for machine learning talent, with Yale University and UConn feeding local hiring pipelines.
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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 (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)
ML Software Engineer Job Roles in Connecticut
See all 23+ ML Software Engineer Jobs in Connecticut
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Search ML Software Engineer Jobs in ConnecticutML Software Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for ML software engineers?
Hartford-based insurers The Hartford and Travelers have a consistent record of H-1B sponsorship for machine learning roles. UTC (now RTX) and Sikorsky in Stratford sponsor ML engineers in defense and aerospace applications. Stamford's finance and fintech firms, including several hedge funds and insurance analytics companies, also file H-1B petitions for ML software engineers with regularity. Sponsorship activity is verifiable through DOL LCA disclosure data.
Which visa types are most common for ML software engineer roles in Connecticut?
The H-1B is the dominant visa category for ML software engineers in Connecticut, as machine learning roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. The O-1A is an option for engineers with demonstrated exceptional ability. Candidates already on F-1 OPT or STEM OPT can work for Connecticut employers during that period before an H-1B petition is filed.
Which cities in Connecticut have the most ML software engineer sponsorship jobs?
Stamford and Hartford account for the largest share of ML software engineer sponsorship activity in Connecticut. Stamford attracts finance, media, and insurance tech employers, while Hartford is the center of the state's insurance industry and hosts companies with long sponsorship histories. New Haven has a smaller but active cluster tied to Yale University's research ecosystem and affiliated biotech and AI startups.
How to find ml software engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML software engineer roles in Connecticut where employers are actively willing to sponsor. You can search by state and role to surface positions at Hartford insurers, Stamford finance firms, and New Haven tech companies. Reviewing DOL LCA disclosure data alongside Migrate Mate listings helps confirm which Connecticut employers have a verified sponsorship track record.
Are there state-specific considerations for ML software engineers pursuing sponsorship in Connecticut?
Connecticut's concentration of insurance and financial services employers means many ML engineering roles focus on predictive modeling, risk analytics, and fraud detection, which shapes what technical background sponsors are looking for. The state's proximity to New York can create competing offers, but Connecticut employers often have less H-1B competition than New York City firms. Yale and UConn maintain research partnerships with local industry, which can be a pipeline for candidates seeking sponsoring employers.
What is the prevailing wage for sponsored ml software 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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