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.
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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.
ML Engineer Job Roles in Connecticut
See all 116+ ML Engineer Jobs in Connecticut
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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.