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Weekend Machine Learning Software Engineer Jobs in Connecticut

The Walt Disney Company

Sr Software Engineer

Bristol, CT

$122K - $161K/yr

Familiar with machine learning model training * Familiar with prompt engineering and interacting ... Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Bristol, CT ...

The Walt Disney Company

Sr Software Engineer

Bristol, CT

$122K - $161K/yr

Familiar with machine learning model training * Familiar with prompt engineering and interacting ... Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Bristol, CT ...

The Hartford

Sr AI Machine Learning Engineer

Hartford, CT · Hybrid

$117K - $175K/yr

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 industryleading ...

Varsity Tutors

Machine Learning Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Stamford, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Software Engineer JobsWeekend Machine Learning Software Engineer JobsWeekend Machine Learning Software Engineer Jobs in Connecticut

Weekend Machine Learning Software Engineer information

What are the typical responsibilities and collaboration expectations for a weekend machine learning software engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

What are the key skills and qualifications needed to thrive as a weekend machine learning software engineer, and why are they important?

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What is a weekend machine learning software engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

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

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

What cities in Connecticut are hiring for Weekend Machine Learning Software Engineer jobs?

Cities in Connecticut with the most Weekend Machine Learning Software Engineer job openings:

Weekend Machine Learning Software Engineer jobs near you

Software Engineer II-Hybrid Role

Payarc LLC

Greenwich, CT • On-site

Full-time

Posted 8 days ago

Job description

Job Type
Full-time
Description
Company Description
Payarc is a technology-driven payments company built to empower people and improve their organizations, one payment at a time. What began as smart, simple payment-processing tools and products has grown into a broader platform, backed by a team of world-class experts and top technology talent. We help new businesses get started, increase our customers' revenues, and bridge the gap between merchants and modern payment solutions-giving companies the tools they need to change the future of their business.
Position Summary
The Software Engineer II is a mid-level engineering role responsible for designing, developing, testing, and maintaining scalable software solutions with limited guidance. This role owns features and components end-to-end and collaborates with cross-functional teams to deliver high-quality payment applications, services, and systems.
The Software Engineer II contributes across all phases of the software development lifecycle-from requirements analysis through deployment and ongoing support-and is expected to uphold Payarc's engineering standards and secure, PCI DSS-compliant data-handling practices.
Essential Duties and Responsibilities
  • Design, develop, and maintain software applications, APIs, and backend services with limited guidance
  • Build and integrate secure APIs and services, including payment-related functionality, in compliance with PCI DSS
  • Write clean, maintainable, and well-documented code
  • Participate in code reviews and pull requests-both giving and receiving constructive feedback-and follow engineering best practices
  • Collaborate with product managers, UI/UX designers, and other engineers to deliver features that meet user and business needs
  • Debug, test, and resolve technical issues of moderate complexity, including production defects surfaced through monitoring tools
  • Contribute to system architecture and design discussions
  • Optimize application performance, scalability, and reliability
  • Ensure security, privacy, and data-protection standards are followed, including secure handling of sensitive and cardholder data
  • Evaluate and adopt new technologies and tools that improve development efficiency
  • Mentor and support Software Engineer I team members as needed
  • Participate in Agile/Scrum ceremonies using JIRA and Confluence (as applicable)

Technology Environment
Payarc engineers work across a broad, modern technology stack. Depending on the team and project, you may work with:
  • Backend: PHP (Laravel, Nova, Apiato) and services in languages such as Java, C#, Python, Go, and C++
  • Frontend: JavaScript with React and Angular, plus jQuery; HTML5, CSS3, LESS/SASS; Material Design
  • Mobile: native Android (Kotlin, Java) and iOS (Swift, Objective-C), with cross-platform work in React Native/Flutter; libraries such as Retrofit, OkHttp, and Firebase
  • Data: relational databases (MySQL, Oracle, Firebird) and NoSQL data stores
  • Cloud & DevOps: Amazon Web Services (AWS), Git/GitHub, CI/CD pipelines, Docker, and Kubernetes
  • Payments & security: PCI DSS-compliant systems, encryption standards such as TDES and DUKPT, and integrations with POS systems, terminals (e.g., PAX, AMP), and Magtek card readers
  • AI & machine learning: applied ML and LLM-based workflows in Python (TensorFlow, PyTorch, scikit-learn), including vector databases and embeddings
  • Collaboration & tooling: Agile/Scrum delivery with JIRA and Confluence, and application monitoring with tools such as Crashlytics and New Relic

Requirements
QualificationsRequired
  • 2-4 years of professional software development experience
  • Proficiency in one or more of Payarc's core languages and frameworks (e.g., PHP/Laravel, JavaScript with React or Angular, Java, C#, Python, or Kotlin)
  • Experience building and consuming RESTful APIs and web services
  • Experience with relational databases such as MySQL or Oracle
  • Proficiency with Git/GitHub, including pull requests and code reviews
  • Strong problem-solving and analytical skills

Preferred
  • Experience with cloud platforms (AWS, Azure, GCP), with AWS preferred
  • Familiarity with CI/CD pipelines
  • Experience with containerization (Docker, Kubernetes)
  • Knowledge of NoSQL databases
  • Mobile development experience (Android with Kotlin, Retrofit/OkHttp, Firebase) or applied AI/ML exposure
  • Familiarity with PCI DSS and secure handling of cardholder data
  • Exposure to encryption standards such as TDES and DUKPT
  • Experience working in Agile environments with JIRA and Confluence

Knowledge, Skills, and Abilities
  • Strong understanding of software design principles
  • Ability to write efficient, scalable, and maintainable code
  • Ability to work independently on features of moderate complexity
  • Strong collaboration, communication, and interpersonal skills
  • Ability to manage multiple tasks and deadlines
  • Sound judgment and resourcefulness in solving problems
  • Commitment to code quality, testing, and security
  • Continuous learning mindset

Education
  • Bachelor's degree in Computer Science, Software Engineering, or a related field required (or equivalent practical experience).

Work EnvironmentThis position operates in a professional office or remote environment, based out of Payarc's Greenwich, CT office with flexibility as needed. Standard business hours apply, with flexibility to meet development timelines and support releases.Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer
  • Extended periods typing and analyzing information
  • Ability to participate in virtual or in-person meetings

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer with or without prior notice.

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