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Contract Machine Learning Startup Jobs in Connecticut

Scientist II

Ridgefield, CT ยท On-site

$35 - $40.05/hr

Ridgefield, Connecticut Type: 24 month contract Compensation: $35-40.05/hr, depending on ... This role combines computational image analysis, machine learning, and scientific collaboration to ...

Scientist II

Ridgefield, CT ยท On-site

$35 - $40.05/hr

Ridgefield, Connecticut Type: 24 month contract Compensation: $35-40.05/hr, depending on ... This role combines computational image analysis, machine learning, and scientific collaboration to ...

Scientist II

Ridgefield, CT ยท On-site

$35 - $40.05/hr

Ridgefield, Connecticut Type: 24 month contract Compensation: $35-40.05/hr, depending on ... This role combines computational image analysis, machine learning, and scientific collaboration to ...

Contract * ideate/originate AI Use Cases within the organization. * Act as a strategic consultant ... Proven expertise in deploying machine learning models and AI applications in a cloud environment ...

Monday-Friday schedule with potential overtime available * Long-term contract with permanent hire ... You like learning new skills and operating equipment. * You're looking for more than just your next ...

Data Science Tutor

Norwalk, CT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Showing results 21-40

Contract Machine Learning Startup information

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the most commonly searched types of Machine Learning Startup jobs in Connecticut?

The most popular types of Machine Learning Startup jobs in Connecticut are:

What cities in Connecticut are hiring for Contract Machine Learning Startup jobs?

Cities in Connecticut with the most Contract Machine Learning Startup job openings:

Infographic showing various Contract Machine Learning Startup job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Scientist II

System One

Ridgefield, CT โ€ข On-site

$35 - $40.05/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago


Job description

Job Title: Digital Pathology Image Scientist Location: Ridgefield, Connecticut Type: 24 month contract Compensation: $35-40.05/hr, depending on qualifications Contractor Work Model: Onsite Hours: 40.0

Overview

The Digital Pathology Image Scientist develops and applies advanced image analysis workflows to support biomedical research and digital pathology initiatives. This role combines computational image analysis, machine learning, and scientific collaboration to generate reproducible, high-quality data from complex imaging datasets while supporting biomarker development and translational research.

Responsibilities

  • Develop, optimize, and maintain image analysis pipelines for 2D and 3D biomedical imaging data.
  • Perform quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets.
  • Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis.
  • Integrate and optimize workflows across digital pathology platforms, including HALO AI, Visiopharm, QuPath, and CellProfiler.
  • Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and support research objectives.
  • Validate image-derived biomarkers and ensure analytical accuracy, reproducibility, and scientific rigor.
  • Document analytical workflows, methodologies, and validation processes to support reproducible research.
  • Interpret, visualize, and communicate image-based findings for scientific reports and presentations.
  • Support cross-functional collaboration by transferring image analysis workflows, algorithms, and best practices across laboratory teams.

Requirements

  • Bachelor's degree in a scientific discipline with 3+ years of relevant experience, or a Master's degree in a related scientific discipline, or equivalent combination of education and experience.
  • Proficiency in scientific programming using Python and/or R.
  • Experience developing and applying machine learning techniques for biomedical image analysis.
  • Experience analyzing pathology images, including H&E, IHC, immunofluorescence (IF), and multiplex immunohistochemistry (mIHC).
  • Experience with one or more digital pathology image analysis platforms, such as HALO AI, Visiopharm, QuPath, or CellProfiler.
  • Experience with image segmentation, feature extraction, classification, and quantitative image analysis workflows.
  • Ability to document analytical methods and produce reproducible, validated image analysis pipelines.
  • Strong analytical and problem-solving skills with the ability to work independently on complex scientific projects.

Preferred Qualifications

  • Experience in tumor immunology and histopathology.
  • Previous experience within the biotechnology or pharmaceutical industry.
  • Experience supporting biomarker development or translational research programs.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI-

Ref: #558-Scientific


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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US