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Weekend Machine Learning Software Engineer Jobs in Connecticut

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

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 ...

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

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

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

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 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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, machine learning, and data science can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, complex projects, or working at major tech companies often have compensation packages reaching or exceeding this level.

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.

Do software engineers work on weekends?

Software engineers, including those working on machine learning projects, typically work standard weekday hours, but may occasionally work on weekends to meet project deadlines or troubleshoot issues. Weekend work is more common in roles with tight schedules or on-call responsibilities, especially in fast-paced or critical environments.

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 engineers make $300,000 a year?

Senior machine learning software engineers, especially those with expertise in deep learning, data science, and cloud computing, can earn $300,000 or more annually. High compensation often depends on experience, location, company size, and advanced skills in programming languages like Python and frameworks such as TensorFlow or PyTorch.

Which 5 jobs will survive AI?

A Weekend Machine Learning Software Engineer is likely to find that roles involving complex problem-solving, creative tasks, interpersonal communication, strategic planning, and specialized technical skills are more resistant to automation. Jobs requiring human judgment, emotional intelligence, and adaptability are expected to persist despite advances in AI. Continuous learning and expertise in AI tools can also help professionals stay relevant in evolving tech 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
Senior Technical Recruiter (USA)

Senior Technical Recruiter (USA)

Trexquant Investment

Stamford, CT • On-site

Full-time

Medical, Dental, Vision

Posted 8 days ago

Key responsibilities

  • Develop and execute targeted recruitment strategies to attract top talent for roles in quantitative finance, data science, machine learning, software engineering, and other critical functions.

  • Manage the end-to-end recruitment process, including sourcing, screening, interviewing, and extending offers.

  • Partner with hiring managers and department heads to understand hiring needs and ensure alignment on job specifications, candidate profiles, and team culture fit.

Job description

We are a growing quantitative hedge fund and technology-driven company, blending cutting-edge finance with innovative technology. Our collaborative and forward-thinking environment drives us to continuously seek top-tier talent who are passionate about shaping the future of finance and technology.
We are looking for an experienced and driven full-lifecycle recruiter to join our team. This role will be responsible for managing the full recruitment lifecycle and ensuring that we attract and hire top talent across both our Research and Engineering teams. You will work closely with hiring managers and the leadership team to develop and shape our talent strategy.
Responsibilities
  • Develop and execute targeted recruitment strategies to attract top talent for a wide range of roles in quantitative finance, data science, machine learning, software engineering, and other critical functions.
  • Manage the end-to-end recruitment process, including sourcing, screening, interviewing, and extending offers. Ensure a seamless and positive experience for all candidates from initial contact to offer acceptance.
  • Partner with hiring managers and department heads to understand their hiring needs and ensure alignment on job specifications, candidate profiles, and team culture fit. Provide advice and guidance on market trends, compensation, and talent availability.
  • Utilize a variety of sourcing channels, including job boards, social media, networking, and direct outreach, to build a pipeline of highly qualified candidates.
  • Ensure a positive candidate experience throughout the hiring process. Provide timely feedback, communicate transparently, and maintain a professional and respectful approach at all stages of the process.

Requirements
  • Bachelor's degree or equivalent experience in a related field.
  • 3+ years of recruitment experience, with a focus on quantitative research and technical hiring (preferably in quantitative finance, technology, or a related field)
  • Familiarity with the skill sets and qualifications required for quantitative finance roles (e.g., quantitative researchers, traders, and data scientists) as well as technical positions (e.g., software engineers, data engineers, machine learning specialists).
  • Proven ability to manage the full recruitment lifecycle, from sourcing to offer negotiation, with a track record of successfully hiring high-caliber talent.
  • Exceptional written and verbal communication skills, with the ability to build strong relationships both internally and externally.
  • High level of organizational skills and attention to detail, with the ability to manage multiple priorities in a fast-paced environment.

Benefits
  • Competitive salary plus bonus based on individual and company performance.
  • Play a key role in building a high-performing team that drives the future of finance.
  • Join a firm that values innovation and offers ample opportunities for career development.
  • Collaborative, Casual, and friendly work environment.
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals.

Trexquant is an Equal Opportunity Employer

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