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Remote Python Machine Learning Jobs in Connecticut

Maximus

AI/ML Software Developer

Hamden, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Bridgeport, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Waterbury, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Hartford, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Norwalk, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Danbury, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

Stamford, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Maximus

AI/ML Software Developer

New Haven, CT · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

Relativity

Principal Applied Scientist

Bridgeport, CT · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153.20K - $229.80K/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 ...

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

As of May 30, 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.

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.

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.
More about Remote Python Machine Learning jobs
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:
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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
Machine Learning Scientist - AI Trainer

Machine Learning Scientist - AI Trainer

DataAnnotation

Hartford, CT • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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