ZipRecruiter

Log In

1

Machine Learning Engineer Intern Jobs in Storrs, CT

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

Infosys

AI Engineer

Hartford, CT · On-site

The role of AI Engineer involves developing and operationalizing machine learning models, ensuring data quality, and collaborating with business and technology teams to create analytics solutions.

Pwc

AI Solutions Engineering Delivery Lead

Hartford, CT · On-site

$103K - $136K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

ClifyX

MLOps Engineer

Hartford, CT · On-site

ClifyX is seeking an MLOps Engineer to enhance their machine learning operations. The primary responsibilities include developing and automating ML pipelines, deploying models, and ensuring ...

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

The role involves building, training, validating, and deploying machine learning models, as well as ... Data Engineering Skills • Expertise in Statistics and Analytical Skills • Intermediate ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Storrs, CT

Machine Learning Engineer Intern information

See Storrs, CT salary details

$25.9K

$43.3K

$89.5K

How much do machine learning engineer intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer intern in Storrs, CT is $43,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What cities near Storrs, CT are hiring for Machine Learning Engineer Intern jobs? Cities near Storrs, CT with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Storrs, CT as of June 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 92% Physical, and 8% Hybrid job distribution, with an average salary of $43,307 per year, or $20.8 per hour.

Data Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 27 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 304 rated insurance

Job description

Data Engineer - GE08AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Data Engineer (AI & Data Platforms)
The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps) services for the Customer Operations Data Science team.
The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products that optimize customer interactions across omnichannel journeys, supporting operational areas such as the Contact Center, Digital, Premium Audit, and Billing.
As a Data Engineer, you will contribute to the development of scalable data platforms and production-ready data pipelines that enable analytics, machine learning, and AI solutions. Working closely with data scientists, machine learning engineers, product owners, and business partners, you will help deliver reliable data assets and services that create measurable business value.
Our Core Values
  • We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye toward scalable and maintainable systems.
  • We are trusted and transparent. We collaborate closely with our business and technology partners and are mindful of their capacity to absorb change.
  • We provide assets that are safe to buy. Our products include monitoring, observability, and governance to ensure long-term success.
  • We will earn the right to influence. With humble confidence, we listen carefully and become trusted partners in problem solving.
  • We are practical and evolutionary. We first deliver a minimally viable solution and expand its sophistication over time based on customer feedback and business value.

Responsibilities
  • Design, build, and maintain scalable ETL/ELT data pipelines and integrations.
  • Develop and support data ingestion, transformation, and delivery solutions using cloud-native technologies.
  • Implement data quality controls, monitoring, and observability capabilities to ensure reliable data products.
  • Support machine learning and AI solutions through data engineering, feature engineering, and operationalization activities.
  • Build reusable frameworks, components, and automation capabilities to increase delivery efficiency.
  • Collaborate with Data Science, Enterprise Data, Cloud Enablement, Architecture, and Business teams to deliver data solutions.
  • Develop and maintain CI/CD pipelines and Infrastructure as Code (IaC) assets to support cloud-based deployments.
  • Assist with the deployment, monitoring, and support of production data and AI services in AWS and GCP environments.
  • Troubleshoot and resolve data pipeline, integration, and platform performance issues.
  • Participate in Agile ceremonies, code reviews, technical documentation, and continuous improvement activities.
  • Follow and promote software engineering, DataOps, and MLOps best practices.

Minimum Requirements
  • Must be authorized to work in the U.S. now and in the future.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent work experience.
  • Experience building and supporting data pipelines in cloud-based environments.
  • Experience with SQL development and relational database concepts.
  • Experience with Python or similar programming languages.
  • Familiarity with AWS and/or GCP cloud services.
  • Experience with source control systems such as GitHub.
  • Experience with CI/CD tools such as GitHub Actions, Jenkins, or similar platforms.
  • Experience with Infrastructure as Code (Terraform, CloudFormation, or similar technologies).
  • Familiarity with workflow orchestration tools such as Apache Airflow, Cloud Composer, or similar platforms.
  • Experience working with data warehouse technologies such as Snowflake, Redshift, BigQuery, or similar platforms.
  • Understanding of data quality, data governance, and data lifecycle management principles.
  • Familiarity with API integration and cloud-native application development concepts.
  • Basic understanding of machine learning workflows and model deployment concepts.

Preferred Skills
  • Strong understanding of data structures and software development fundamentals.
  • Experience building and optimizing large-scale data pipelines.
  • Experience with Docker, Kubernetes, and containerized application deployment.
  • Experience supporting MLOps or AI platform capabilities.
  • Experience with data observability and monitoring tools.
  • Familiarity with dbt, Spark, Hadoop, or other modern data engineering technologies.
  • Experience working in Agile development environments.
  • Exposure to Generative AI technologies, Agentic AI workflows, vector databases, or LLM-powered applications.
  • Experience working in highly regulated industries such as insurance or financial services.

Qualifications
  • 2+ years of experience in data engineering, software engineering, analytics engineering, or related technical roles.
  • 2+ years of Python development experience.
  • 2+ years of SQL development experience.
  • Experience developing, maintaining, or supporting ETL/ELT data pipelines.
  • Experience working with cloud technologies such as AWS, GCP, or Azure.
  • Experience using CI/CD pipelines and Infrastructure as Code practices.
  • Experience working with modern data platforms such as Snowflake, BigQuery, or Redshift.
  • Exposure to data quality, monitoring, and operational support processes.
  • Familiarity with emerging data-centric technologies including Generative AI, Agentic workflows, and embedding LLMs into automated processes.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$100,960 - $151,440
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

Social media

FacebookTwitter

View All Hartford Jobs

Apply