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Machine Learning Intern Remote Jobs in Connecticut

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

RWD Engagement Manager

Hartford, CT · Remote

$160K - $185K/yr

Remote, United States Date Posted: May 27, 2026 Employment Type: Full Time Job ID: R-1751 ... world data, machine learning and predictive analytics. At Norstella, we don't just deliver ...

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Machine Learning Intern Remote information

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries for ML positions can vary based on experience, location, and company, but they tend to be above average compared to many other entry-level roles in technology. Internships in ML may offer lower pay, but full-time positions often provide competitive compensation and benefits.
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What job categories do people searching Machine Learning Intern Remote jobs in Connecticut look for? The top searched job categories for Machine Learning Intern Remote jobs in Connecticut are:
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Sr Director Analyst, Analytics & AI (Remote US)

Sr Director Analyst, Analytics & AI (Remote US)

Gartner

Stamford, CT • Remote

Other

Retirement, PTO

Posted 2 days ago


Job description

About the role:

Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Senior Director possesses a keen eye for identifying gaps, problems and solutions within their market. They use their knowledge to help clients make better decisions, solve complex issues and execute new practices that propel clients' businesses toward critical objectives. A Senior Director publishes these insights as pragmatic and provocative research. Additionally, they reinforce Gartner's value every day by engaging clients via in-person and virtual meetings, sales support visits, Gartner conferences and industry events. This includes writing about, presenting and advising organizations about market trends, technologies, vendors and best practices in analytics & AI.

What you will do:

  • Create high-quality, clear, actionable, "must-have research" content based on research best practices and methodologies in analytics, AI and data science. Specific focus areas will include strategy, business value, best practices, market trends, technologies and vendors.
  • Identify the root cause of a client's barriers or overall needs and reframe thinking to drive the strategy forward.
  • Cover specific Analytic & AI topics and adjacent areas while maintaining a view across a broad spectrum of the market, and produce innovative, thought-leading, impactful, analytically-deep, fact-based research. Specific topics will be Agentic analytics, Decision Intelligence, AI Engineering, Content Management, Analytics and BI, Data Science and Machine Learning.
  • Provide clients and prospects with actionable analytics & AI-centric advice via virtual or face-to-face interactions.
  • Create and deliver presentation materials for Gartner events, industry and professional association conferences, webinars and client briefings.
  • Provide high-quality and timely research peer review. Provide mentorship and support to team members.
  • Predict howspecific markets are developing, help clients in their selection process and assist vendors in overall positioning.
  • Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the analytics & AI research community.

What you will need:

  • Bachelor's degree or equivalent experience; Graduate degree preferred.
  • 12+ years of relevant Analytics & AI experience. Will previously have held a leadership or senior technical role within technology or business.
  • Applicable experience in an industry discipline and deep knowledge of the CDAO, Head of Analytics and AI responsibilities or related business roles, as well as a market and industry perspective. This includes understanding technology and business needs, including user strategies in specific areas and markets.
  • Excellent written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions.
  • Ability to work independently, while being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team.
  • Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders.
  • Strong organizational skills; ability to work under tight deadlines and produce high-quality deliverables.
  • Demonstrate superior analytical skills, applying conceptual models, and recognizing patterns while drawing and defending conclusions.
  • Subject matter expertise comfortable presenting at large and small-scale speaking engagements.

#LI-remote

#LI-AV1

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 20,000 associates globally who support over 13,000 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.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

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 172,000 USD - 202,500 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 toApplicantAccommodations@gartner.com.

Job Requisition ID:109978

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