AI ML Engineering Visa Sponsorship Jobs in Connecticut
Connecticut's AI and ML engineering roles are concentrated in Hartford's insurance and financial technology sector, Stamford's hedge funds and data firms, and UConn's research corridors. Major employers including Cigna, Travelers, and UTC Aerospace have established sponsorship track records, making the state a genuine destination for international AI talent.
Find AI ML Engineering JobsOverview
Showing 5 of 116+ AI ML Engineering Jobs in Connecticut with Visa Sponsorship
See all 116+ AI ML Engineering Jobs in Connecticut with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs in Connecticut with Visa Sponsorship.
Get Access To All JobsAbout the role: Join our fast-growing Global Product Management Data Science team and help transform Gartner’s Client Experience Digital Platform—the essential destination for IT and business leaders worldwide. As a data scientist, you’ll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients’ journey. In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You’ll architect and implement cutting-edge conversational AI tools—including intelligent search, recommendation engines, and context-aware content systems—while ensuring seamless integration with enterprise platforms.
What You Will Do
- Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
- Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
- Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
- Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
- Build user profiling and personalization models to deliver tailored chatbot experiences
- Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
- Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
- Leverage internal and external data to understand client's company-level priorities and deliver targeted support
- Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
- Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
- Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
- Collaborate with engineering and product teams to launch MVPs and iterate quickly
- Independently plan and drive complex data science projects that deliver measurable business value
- Mentor junior data scientists on chatbot development, LLM applications, and best practices
What You Will Need
- 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
- Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
- Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership
- Working experience in some of the following data science areas:
- Large Language Models (LLMs) and Generative AI
- Conversational AI, chatbot development, and dialogue systems
- Natural Language Processing and text mining
- Search and Recommendation systems
- Prompt engineering, LLM fine-tuning, and model optimization
- AI agent architectures and orchestration
- Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
- Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
- Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
- Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
- Experience with cloud computing services such as AWS or Azure ML
- Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
- Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
- Bias for action and client outcome oriented
What You Will Get
- Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
- Collaborative, team-oriented culture that embraces diversity
- Professional development and unlimited growth opportunities
Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
Job Requisition ID:106861
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
About the role: Join our fast-growing Global Product Management Data Science team and help transform Gartner’s Client Experience Digital Platform—the essential destination for IT and business leaders worldwide. As a data scientist, you’ll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients’ journey. In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You’ll architect and implement cutting-edge conversational AI tools—including intelligent search, recommendation engines, and context-aware content systems—while ensuring seamless integration with enterprise platforms.
What You Will Do
- Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
- Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
- Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
- Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
- Build user profiling and personalization models to deliver tailored chatbot experiences
- Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
- Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
- Leverage internal and external data to understand client's company-level priorities and deliver targeted support
- Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
- Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
- Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
- Collaborate with engineering and product teams to launch MVPs and iterate quickly
- Independently plan and drive complex data science projects that deliver measurable business value
- Mentor junior data scientists on chatbot development, LLM applications, and best practices
What You Will Need
- 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
- Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
- Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership
- Working experience in some of the following data science areas:
- Large Language Models (LLMs) and Generative AI
- Conversational AI, chatbot development, and dialogue systems
- Natural Language Processing and text mining
- Search and Recommendation systems
- Prompt engineering, LLM fine-tuning, and model optimization
- AI agent architectures and orchestration
- Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
- Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
- Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
- Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
- Experience with cloud computing services such as AWS or Azure ML
- Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
- Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
- Bias for action and client outcome oriented
What You Will Get
- Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
- Collaborative, team-oriented culture that embraces diversity
- Professional development and unlimited growth opportunities
Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
Job Requisition ID:106861
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
AI ML Engineering Job Roles in Connecticut
See all 116+ AI ML Engineering Jobs in Connecticut
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI ML Engineering Jobs in ConnecticutAI ML Engineering Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Connecticut?
Connecticut's most active sponsors for AI and ML engineering roles include Cigna, Travelers, Hartford Financial Services, Synchrony Financial, and Sikorsky. Financial services and insurance firms drive much of the demand, alongside defense contractors and healthcare technology companies. University-affiliated research labs at Yale and UConn also sponsor positions, though the volume is smaller than the private sector.
Which visa types are most common for AI ML engineering roles in Connecticut?
The H-1B visa is the most common visa category for AI and ML engineers in Connecticut, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Some multinational firms in Stamford and Hartford also use the L-1B for intracompany transfers of specialized knowledge workers.
Which cities in Connecticut have the most AI ML engineering sponsorship jobs?
Stamford generates the highest volume of AI and ML engineering sponsorship opportunities, driven by its concentration of financial services firms and corporate headquarters. Hartford follows closely, anchored by insurance giants and fintech companies. New Haven also produces sponsorship roles, particularly through Yale University's research programs and the surrounding biotech and health data companies in that corridor.
How to find ai ml engineering visa sponsorship jobs in Connecticut?
Migrate Mate filters AI and ML engineering roles by sponsorship history, so you can search specifically within Connecticut without sifting through positions from employers who don't sponsor. The platform surfaces companies that have filed H-1B applications for similar roles, which is the most practical signal of genuine sponsorship willingness. Filtering by Connecticut on Migrate Mate is a direct way to identify active opportunities in Hartford, Stamford, and New Haven.
Are there state-specific considerations for AI ML engineers pursuing sponsorship in Connecticut?
Connecticut's dominant industries, insurance, financial services, and defense, shape prevailing wage determinations for AI and ML roles, which tend to reflect the competitive compensation those sectors offer. Employers must certify they will pay at least the prevailing wage on the Labor Condition Application. UConn and Yale have active research pipelines that feed talent into Connecticut's private sector, meaning some sponsoring employers are familiar with hiring candidates transitioning from academic or OPT status.
What is the prevailing wage for sponsored ai ml engineering 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.