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Weekend Machine Learning Software Engineer Jobs in Ridgefield, CT

Bespoke Labs

Machine Learning Engineer

Norwalk, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Stamford, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Danbury, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bridgeport, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

New Haven, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsWeekend Machine Learning Software Engineer JobsWeekend Machine Learning Software Engineer Jobs in Ridgefield, CT

Weekend Machine Learning Software Engineer information

See Ridgefield, CT salary details

$63.2K

$146.9K

$204.7K

How much do weekend machine learning software engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for weekend machine learning software engineer in Ridgefield, CT is $146,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $172,300.00 per year, depending on experience, location, and employer.

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.
Weekend Machine Learning Software Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Graham Capital Management, L.P.

Norwalk, CT • On-site

Full-time

Posted 15 days ago

Job description

Job Summary:
Graham Capital Management, L.P. is an alternative investment manager specializing in discretionary and quantitative macro strategies. They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to support quant strategies and enhance data insights for stakeholders.
Responsibilities:
• You will be part of a growing team within Data Science.
• You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the buy-side.
• You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions.
• Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Qualifications:
Required:
• Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
• 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets
• Experience writing production code for multi-client systems serving model results is a great plus
• Ability to clearly communicate research findings to technical and nontechnical stakeholders
• Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
• Experience with scientific computing, statistics, optimization, time series, panel data, etc.
• Comfortable handling multiple projects to solve varied problems working with multiple teams
• Detail-oriented mindset
• Sense of ownership of his/her work, working well both independently as well as collaboratively
Company:
Who We Are & What We Do: Graham Capital Management, L.P. Founded in 1994, the company is headquartered in Norwalk, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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