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Remote Machine Learning Jobs in Connecticut (NOW HIRING)

ABB

OEM Sales Director-Machinery

Wilton, CT · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Gartner

Director, Data Science

Stamford, CT · Remote

What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams. * Master's Degree or PhD in a quantitative ...

The Hartford

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT) will have the expectation of ...

KēSTA I.T.

AI Engineer 804812

Hartford, CT · On-site +1

$1/hr

This position is Remote : We are seeking an AI Applications Developer to support the ongoing operation, modernization, and enhancement of AI-enabled applications that manage confidential and ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management, and monitoring of our fleet of devices and ingestion, storage, visualization, and retrieval of data ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management, and monitoring of our fleet of devices and ingestion, storage, visualization, and retrieval of data ...

UnitedHealth Group

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you take on some tough challenges. Primary Responsibilities: * Design, develop, and deploy AI-powered ...

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

... 2 remote) U.S. residents only; work must be performed within the United States. Experience / Qualifications * 10+ years of software development experience with strong hands-on coding ...

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

... 2 remote) U.S. residents only; work must be performed within the United States. Experience / Qualifications * 10+ years of software development experience with strong hands-on coding ...

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Showing results 1-20

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Connecticut

Remote Machine Learning information

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Connecticut? The most popular types of Machine Learning jobs in Connecticut are:
What are popular job titles related to Remote Machine Learning jobs in Connecticut? For Remote Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Connecticut look for? The top searched job categories for Remote Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Machine Learning jobs? Cities in Connecticut with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Lead Director, Aetna Operations Enablement Insights & Reporting

Lead Director, Aetna Operations Enablement Insights & Reporting

CVS Health

Hartford, CT • On-site, Remote

$100K - $231K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,281 frontline employees who took The Breakroom Quiz

81st of 104 rated pharmacies

Job description

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 ourselvesaccountable 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
As the Lead Director, Aetna Operations Enablement Insights & Reporting, you'll be responsible for executing and advancing analytics and reporting capabilities within Service Operations, translating strategic priorities into actionable insights. You'll partner closely with business leaders to deliver timely, decision-driving analytics that improve performance across operational, financial, and experience metrics. You will drive the development of scalable reporting solutions, ensures data quality and integrity, and leads a team focused on delivering high-impact insights. In this role you will bridge strategy and execution by operationalizing analytics priorities into measurable outcomes.

Key Responsibilities

  • Lead the execution of analytics and reporting strategies that support Service Operations performance management and decision-making.
  • Translate business needs into actionable reporting, dashboards, and insights across operational, financial, workforce, and experience domains.
  • Deliver and continuously improve performance reporting (e.g., scorecards, dashboards, monthly/weekly reporting routines) with a focus on accuracy, consistency, and usability.
  • Partner with Operations, Finance, Product, and Technology teams to identify analytics opportunities and drive data-informed decisions.
  • Manage and evolve reporting tools and dashboards (e.g., Tableau, Power BI) to enable self-service insights for business stakeholders.
  • Ensure data integrity, quality, and adherence to governance standards across reporting and analytics outputs.
  • Identify root causes and performance drivers, delivering insights and recommendations to improve efficiency, quality, and customer experience.
  • Lead and develop a team of managers, analysts, and SMEs, fostering strong analytical capabilities and accountability for outcomes.
  • Drive process optimization by reducing manual reporting, improving automation, and increasing speed-to-insight.
  • Support the execution of performance management routines (e.g., operating reviews), ensuring readiness of insights and materials.
  • Contribute to advancing analytics capabilities, including adoption of new tools, methodologies, and data sources.

***This position can be hybrid or remote. Candidates can live anywhere in the US.***

Required Qualifications

  • 10+ years of experience in analytics, reporting, operations, or business intelligence roles.
  • Experience in healthcare (payer, service operations, claims, contact center, or provider operations preferred).
  • Demonstrated experience delivering analytics solutions and reporting that drive business decisions.
  • Strong proficiency in analytics tools and technologies (e.g., SQL, Tableau, Power BI, Alteryx, cloud data platforms).
  • Proven experience leading teams, including managers and/or senior analysts.
  • Strong analytical, problem-solving, and decision-making experience.
  • Experience collaborating across functions and influence stakeholders.


Preferred Qualifications

  • Experience with advanced analytics techniques (predictive modeling, machine learning).
  • Exposure to large-scale analytics transformation or modernization initiatives.
  • Experience working with data governance, data architecture, or enterprise data platforms.


Education

  • Bachelor's degree, or equivalent experience required.
  • Master's degree in a quantitative field or MBA preferred.

Pay Range

The typical pay range for this role is:

$100,000.00 - $231,540.00


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 fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing 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: 07/25/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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