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Associate Machine Learning Jobs in Connecticut (NOW HIRING)

Set up and operate a variety of machinery such as mandrel coiling, strip machine, wire mills ... Learning & Development: Our lifelong learning philosophy means you'll have access to a wealth of ...

The Associate Director, Transformation Management will lead complex, cross-functional strategic and ... Strong fluency in artificial intelligence and automation concepts, including machine learning ...

Sales Associate

Bridgeport, CT · On-site

$14.25 - $19.25/hr

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

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Associate Machine Learning information

See Connecticut salary details

$23.6K

$124.1K

$304.2K

How much do associate machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate machine learning in Connecticut is $124,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $172,000.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

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 cities in Connecticut are hiring for Associate Machine Learning jobs?

Cities in Connecticut with the most Associate Machine Learning job openings:

Cardiac CT Image Analyst

Caristo Diagnostics

Stamford, CT • On-site

Full-time

Re-posted 13 days ago


Job description


Cardiac CT Image Analyst - Biomedical Imaging / AI Diagnostics


About Caristo Diagnostics

Caristo Diagnostics is a global leader in AI-powered cardiovascular imaging and biomedical diagnostics. A spinout from the University of Oxford, Caristo's award-winning technology uses artificial intelligence (AI) to transform cardiac CT imaging into a tool for early detection of heart disease. By analyzing routine medical images to identify hidden
inflammation and plaque, Caristo enables clinicians to predict heart attack risk before symptoms appear.
Our flagship CaRi-Heart and CaRi-Plaque technologies have been featured in The Lancet, JACC, and the European Heart Journal, and Cardiovascular Research

CaRi-Plaque is now FDA-approved for clinical use in the U.S. Learn more at caristo.com.


Position Summary

We are seeking a Cardiac CT Image Analyst with a background in biomedical science, medical imaging, radiology, or life sciences to join our expanding Image Analysis team in Stamford, Connecticut. You'll collaborate closely with colleagues in both the U.S. and the U.K., analyzing cardiac CT datasets using Caristo's proprietary AI imaging software.
This position is ideal for someone excited by AI-driven healthcare innovation, quantitative image analysis, and the opportunity to shape the future of cardiovascular diagnostics. A comprehensive training program will be provided.

Key Responsibilities

  • Analyze cardiac CT images and medical imaging data using Caristo's AI-based software in accordance with company SOPs.
  • Manage and process patient imaging data securely and accurately.
  • Provide timely support to internal and external stakeholders, including physicians and researchers.
  • Identify and flag cases that are non-analyzable due to technical or clinical limitations.
  • Support the development of internal standard operating procedures (SOPs) for image analysis workflows.
  • Participate in risk management activities for new medical device development.
  • Contribute to ongoing research projects (e.g., ground-truth data generation for machine learning).
  • Provide feedback for AI model improvements and software testing.

Required Skills and Experience

Essential:

  • Associate or Bachelor's degree in biomedical science, medical technology, radiology, life sciences, or a related field (e.g., digital health, public health, biomedical engineering).
  • Strong analytical skills and attention to detail.
  • Excellent communication and data interpretation abilities.
  • Proficiency with Microsoft Office, particularly Excel and database management.
  • Strong organizational skills and ability to prioritize multiple tasks.
  • Enthusiasm for medical imaging, AI, and healthcare innovation.

Desirable:

  • Experience with DICOM images, image segmentation, or quantitative data analysis.
  • Familiarity with Python, MATLAB, or similar data analysis tools.
  • Experience in a clinical, radiology, or biomedical research setting.
  • GCP certification and/or understanding of clinical research standards.
  • Exposure to AI/ML-based imaging platforms or digital diagnostics.


Why Join Caristo

  • Be part of a global medical technology company transforming cardiac care through AI and imaging innovation.
  • Join the founding U.S. team and contribute to our FDA-approved product rollout.
  • Work in a collaborative, mission-driven environment that values integrity, innovation, quality, and impact, and which supports personal growth.
  • Share the company values of pushing the boundaries, taking ownership, caring for each other and being candid and professional.
  • Competitive salary and benefits package.


Location

Stamford, Connecticut (on-site position)

Equal Opportunity

Caristo Diagnostics is committed to diversity and inclusion. We encourage applications from all qualified individuals, including those seeking to take the next step in their career.


Suggested Indeed Skills Tags

  • Biomedical Imaging
  • Cardiac CT
  • AI Imaging
  • Image Analysis
  • Medical Imaging
  • Radiology
  • DICOM
  • Data Analysis
  • Machine Learning
  • Python
  • MATLAB
  • Healthcare Technology
  • Cardiovascular Imaging
  • Quantitative Analysis
  • Medical Device
  • FDA-approved Technology
  • Life Sciences
  • Biomedical Research
  • Clinical Data
  • Digital Health