ML Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's ml engineer job market is anchored by financial services firms in Stamford, insurance and analytics companies in Hartford, and major research employers like United Technologies and Yale University. Aetna, Cigna, and several hedge fund technology teams actively recruit ml engineers and have established visa sponsorship infrastructure for international candidates.
Find ML Engineer JobsOverview
Showing 5 of 81+ ML Engineer Jobs in Connecticut with Visa Sponsorship
See all 81+ ML Engineer Jobs in Connecticut with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs in Connecticut with Visa Sponsorship.
Get Access To All JobsWe’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise.
The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment.
Key Responsibilities
- Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery.
- Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development.
- Partner with business leaders and domain-specific IT teams to translate business requirements into actionable technical roadmaps and solutions.
- Oversee end-to-end delivery of multiple concurrent AI initiatives, from ideation through production deployment and adoption.
- Drive the design and development of AI/ML and GenAI solutions.
- Champion the use of low-code/no-code platforms (e.g., Microsoft Copilot Studio, Power Automate) and Claude Skills alongside traditional full-stack development to accelerate solution delivery.
- Establish and enforce DevOps, CI/CD, and data governance practices to ensure reliable, secure, and compliant delivery.
- Operate within a regulated enterprise environment, ensuring solutions align with formal architecture, security, privacy, audit, and enterprise governance standards.
- Act as a trusted advisor to business and IT partners on AI adoption strategy, use case evaluation, and solutioning.
- Build and maintain strong cross-functional relationships, fostering collaboration between engineering, business, and governance stakeholders.
- Report on program progress, risks, and value delivered to senior leadership.
Required Qualifications
- 8+ years of people management experience, including building, leading, and developing high-performing engineering teams.
- 5+ years of hands-on software development experience in cloud and distributed environments using modern technology stacks.
- Demonstrated experience building AI/ML solutions, including exposure to GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows and orchestration.
- Proficiency in Python and full-stack development, including designing and building APIs.
- Hands-on experience with cloud platforms (Azure, GCP) and container orchestration using Kubernetes.
- Experience working with vector databases in support of AI/ML and GenAI solutions.
- Experience with major cloud AI/ML platforms (e.g., Google Cloud Vertex AI, Azure OpenAI, AWS Bedrock).
- Strong proficiency in SQL, data analytics, and automation.
- Proven experience with DevOps practices and CI/CD pipelines.
- Excellent communication and interpersonal skills, with a demonstrated ability to engage effectively with business leaders and translate business requirements into actionable technical plans.
- Experience operating within a regulated enterprise environment, including familiarity with formal architecture, security, privacy, audit, and governance processes.
- Strong strategic thinking and program management skills, with the ability to manage multiple concurrent initiatives in a fast-paced environment.
Preferred Qualifications
- Experience within Finance or a similar regulated financial services function.
- Prior experience establishing or scaling an AI Enablement, AI Center of Excellence, or similar function.
- Experience with agentic AI frameworks and orchestration tools.
- Experience building and scaling low-code/no-code AI solutions (Copilot Studio agents, Power Automate flows, Claude Skills) as an enablement pattern for business and IT partners.
- Experience designing or implementing semantic context layer using vector database and/or knowledge graph architectures to support GenAI and RAG solutions.
- Familiarity with enterprise AI and Data governance, and responsible AI frameworks.
- Experience presenting to and influencing executive-level stakeholders.
- Track record of driving organizational change and technology adoption at scale.
Education
Bachelor or higher degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise.
The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment.
Key Responsibilities
- Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery.
- Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development.
- Partner with business leaders and domain-specific IT teams to translate business requirements into actionable technical roadmaps and solutions.
- Oversee end-to-end delivery of multiple concurrent AI initiatives, from ideation through production deployment and adoption.
- Drive the design and development of AI/ML and GenAI solutions.
- Champion the use of low-code/no-code platforms (e.g., Microsoft Copilot Studio, Power Automate) and Claude Skills alongside traditional full-stack development to accelerate solution delivery.
- Establish and enforce DevOps, CI/CD, and data governance practices to ensure reliable, secure, and compliant delivery.
- Operate within a regulated enterprise environment, ensuring solutions align with formal architecture, security, privacy, audit, and enterprise governance standards.
- Act as a trusted advisor to business and IT partners on AI adoption strategy, use case evaluation, and solutioning.
- Build and maintain strong cross-functional relationships, fostering collaboration between engineering, business, and governance stakeholders.
- Report on program progress, risks, and value delivered to senior leadership.
Required Qualifications
- 8+ years of people management experience, including building, leading, and developing high-performing engineering teams.
- 5+ years of hands-on software development experience in cloud and distributed environments using modern technology stacks.
- Demonstrated experience building AI/ML solutions, including exposure to GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows and orchestration.
- Proficiency in Python and full-stack development, including designing and building APIs.
- Hands-on experience with cloud platforms (Azure, GCP) and container orchestration using Kubernetes.
- Experience working with vector databases in support of AI/ML and GenAI solutions.
- Experience with major cloud AI/ML platforms (e.g., Google Cloud Vertex AI, Azure OpenAI, AWS Bedrock).
- Strong proficiency in SQL, data analytics, and automation.
- Proven experience with DevOps practices and CI/CD pipelines.
- Excellent communication and interpersonal skills, with a demonstrated ability to engage effectively with business leaders and translate business requirements into actionable technical plans.
- Experience operating within a regulated enterprise environment, including familiarity with formal architecture, security, privacy, audit, and governance processes.
- Strong strategic thinking and program management skills, with the ability to manage multiple concurrent initiatives in a fast-paced environment.
Preferred Qualifications
- Experience within Finance or a similar regulated financial services function.
- Prior experience establishing or scaling an AI Enablement, AI Center of Excellence, or similar function.
- Experience with agentic AI frameworks and orchestration tools.
- Experience building and scaling low-code/no-code AI solutions (Copilot Studio agents, Power Automate flows, Claude Skills) as an enablement pattern for business and IT partners.
- Experience designing or implementing semantic context layer using vector database and/or knowledge graph architectures to support GenAI and RAG solutions.
- Familiarity with enterprise AI and Data governance, and responsible AI frameworks.
- Experience presenting to and influencing executive-level stakeholders.
- Track record of driving organizational change and technology adoption at scale.
Education
Bachelor or higher degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
ML Engineer Job Roles in Connecticut
See all 81+ ML Engineer Jobs in Connecticut
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Engineer Jobs in ConnecticutML Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for ml engineers in Connecticut?
Financial services and insurance companies are among the most active visa sponsors for ml engineers in Connecticut. Cigna, Aetna, and Hartford Financial Services have sponsored H-1B visa workers in machine learning and data science roles. Stamford-based hedge funds and asset managers, including Two Sigma and various quantitative trading firms, also file petitions for ml engineers regularly. Large defense and aerospace contractors with Connecticut operations, such as Raytheon and Pratt & Whitney, round out the sponsoring employer base.
Which visa types are most common for ml engineer roles in Connecticut?
The H-1B visa is the most common sponsorship pathway for ml engineers in Connecticut, given that machine learning engineering typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Candidates from India and China working toward permanent residence may also encounter EB-2 or EB-3 immigrant visa petitions filed by larger employers. Australians may find E-3 visas relevant, and Canadians and Mexicans may qualify under TN visa status in computer-related occupations.
Which cities in Connecticut have the most ml engineer sponsorship jobs?
Stamford concentrates the largest share of ml engineer sponsorship activity in Connecticut, driven by its dense cluster of financial services, fintech, and media technology companies. Hartford is the second-largest hub, anchored by insurance carriers and healthcare analytics firms that employ ml engineers for risk modeling and claims automation. New Haven also generates demand through Yale University's research operations and the biotech companies clustered around its medical campus.
How to find ml engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters ml engineer roles specifically by visa sponsorship status and state, making it straightforward to browse open positions in Connecticut without sorting through employers who don't sponsor. The platform surfaces roles from financial services, insurance, and healthcare technology companies, which represent the core of Connecticut's ml engineering market. Searching by city within Connecticut, such as Stamford or Hartford, lets you target the industry clusters most relevant to your background.
Are there state-specific considerations for ml engineers seeking sponsorship in Connecticut?
Connecticut's ml engineering job market skews heavily toward applied machine learning in regulated industries, particularly insurance underwriting, actuarial modeling, and quantitative finance. Employers in these sectors tend to have established legal and HR teams experienced with H-1B sponsorship. Yale University and the University of Connecticut also generate a pipeline of ml talent, which means competition can be meaningful at entry-level positions. Candidates with domain knowledge in financial risk, healthcare data, or natural language processing are particularly well-positioned with Connecticut's dominant employers.
What is the prevailing wage for sponsored 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.