Machine Learning Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's machine learning engineer market centers on Hartford's insurance and financial services giants, Stamford's hedge funds and data-driven firms, and a growing biotech corridor along the I-91 corridor. Companies like Travelers, Hartford Financial, and Boehringer Ingelheim regularly hire ML engineers, and many have established visa sponsorship programs for skilled international candidates.
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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)
Machine Learning Engineer Job Roles in Connecticut
See all 27+ Machine Learning Engineer Jobs in Connecticut
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Search Machine Learning Engineer Jobs in ConnecticutMachine Learning Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for machine learning engineers?
Hartford-based insurance carriers including Travelers and The Hartford have active ML engineering teams and histories of H-1B sponsorship. Stamford's financial sector, including firms like Synchrony Financial and UBS, also sponsors ML talent. On the biotech side, Boehringer Ingelheim and Alexion Pharmaceuticals in New Haven have hired sponsored ML engineers for research and drug discovery applications.
Which visa types are most common for machine learning engineer roles in Connecticut?
The H-1B is the most common visa for machine learning engineers in Connecticut, as the role clearly qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding an F-1 with OPT or STEM OPT can work while their employer files an H-1B petition. The O-1A is an option for engineers with published research or recognized contributions to the field.
Which cities in Connecticut have the most machine learning engineer sponsorship jobs?
Hartford leads in volume, driven by its concentration of insurance and financial services firms that rely heavily on predictive modeling and ML infrastructure. Stamford is a strong second, particularly for ML roles in quantitative finance and data science. New Haven supports a smaller but active cluster of ML opportunities tied to Yale University's research ecosystem and the nearby biotech industry.
How to find machine learning engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search machine learning engineer roles in Connecticut without sorting through positions that don't offer sponsorship. The platform covers employers across Hartford, Stamford, and New Haven, including insurance carriers, financial firms, and biotech companies that have documented sponsorship histories for technical roles.
Are there any Connecticut-specific considerations for machine learning engineers seeking visa sponsorship?
Connecticut employers sponsoring H-1B workers must pay the Department of Labor's prevailing wage for the role and location, which is set at the metropolitan-area level for Hartford, Bridgeport-Stamford, and New Haven. The state's concentration in regulated industries like insurance and finance means ML engineers often work on compliance-sensitive systems, and employers in those sectors tend to be experienced with the H-1B process rather than new to it.
What is the prevailing wage for sponsored machine learning 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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