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Remote Python Machine Learning Jobs in Connecticut

E-Solutions

AI/ML Tech Lead / Architect

Hartford, CT · On-site +1

... they can work remote. This is the least preferred option. Detailed * Collaborate with cross ... and implement machine learning models using Google Vertex AI & Python in the context of ...

The Hartford

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

This role can have a Hybrid or Remote work arrangement depending on experience and skillset ... Experience in statistical modeling, inference, and building machine learning algorithms in Python ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

... machine learning algorithms in Python and/or R. Prior Management Experience Expertise in the end-to ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

micro1 AI

Lawyer - Remote

Hartford, CT · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Bridgeport, CT · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Lawyer - Remote

Stamford, CT · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Lawyer - Remote

New Haven, CT · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

New Haven, CT · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Lawyer - Remote

Waterbury, CT · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Waterbury, CT · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

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All JobsRemote Python Machine Learning JobsRemote Python Machine Learning Jobs in Connecticut

Remote Python Machine Learning information

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$12

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$82

How much do remote python machine learning jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote python machine learning in Connecticut is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $63.37 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

Which 5 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and human interaction, such as data scientists, AI specialists, software developers, cybersecurity analysts, and technical trainers, are also expected to remain in demand despite advances in AI. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in Python, deep learning frameworks, and extensive experience. These positions usually involve leadership, strategic planning, and may include stock options or bonuses, reflecting their seniority and impact on company success.

Which 3 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and interpersonal communication, such as data scientists, AI specialists, and software engineers, are also expected to remain in demand. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

Is Python good for remote jobs?

Python is widely used for remote jobs, especially in fields like machine learning, data analysis, and web development. Many companies offer remote Python roles that require skills in frameworks, libraries, and version control tools, making it a strong choice for remote work opportunities.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the most commonly searched types of Python Machine Learning jobs in Connecticut? The most popular types of Python Machine Learning jobs in Connecticut are:
What are popular job titles related to Remote Python Machine Learning jobs in Connecticut? For Remote Python Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Connecticut look for? The top searched job categories for Remote Python Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Python Machine Learning jobs? Cities in Connecticut with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Sr AI Machine Learning Engineer

Sr AI Machine Learning Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$117K - $175K/yr

Full-time

Posted 4 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance

Job description

Sr Data Engineer - GE07BE
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.
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.
The Hartford is developing industry-leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production-grade AI solutions-partnering closely with product, engineering, and platform leaders to deliver measurable impact.
Our core values
  • We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
  • We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
  • We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
  • We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
  • We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities
  • Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
  • Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
  • Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
  • Accountable for deployment design, development and maintenance of both traditional ML and AI models.
  • Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
  • Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams
  • Delivery of critical milestones for model deployment in the AWS and GCP clouds.
  • Adopt and promote MLOps best practices to the Data Science community.

Minimum Requirements
  • Must be authorized to work in the U.S. now and in the future.
  • Master's degree in related field or 5+ years of equivalent experience in a research or DevOps function.
  • Development experience developing solutions within AWS, GCP or both.
  • Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
  • Experience building and deploying API services within the Cloud.
  • Experience building CICD pipeline using Jenkins or equivalent
  • Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents
  • Experience in Unix, git, and strong object oriented development experience using Python
  • Experience in end to end model development lifecycle, from ideation through post production monitoring.
  • Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
  • Basic understanding of Data Science model development life cycle
  • Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM's 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:
$117,200 - $175,800
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

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