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Weekend No Experience Machine Learning Jobs in Wayne, NJ

Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to evaluate ...

New

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Proven experience as a Machine Learning Engineer or similar role * Understanding of data structures, data modelling and software architecture * Deep knowledge of math, probability, statistics and ...

Experience developing and deploying machine learning models in production environments. Strong experience with computer vision, image classification, object detection, deep learning, or related ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Preferred Qualifications: • Master's degree in Computer Science, Engineering, Information Systems, or related field. • 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow ...

Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred ...

Experience with sequential modeling and time series forecasting using deep learning * Experience ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Experience with sequential modeling and time series forecasting using deep learning * Experience ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

Requires a bachelor's degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building ...

... Machine Learning Researcher while also providing a truly unparalleled educational experience ... You'll work side by side with experienced ML Researchers on projects that we've selected for their ...

... Machine Learning Researcher while also providing a truly unparalleled educational experience ... You'll work side by side with experienced ML Researchers on projects that we've selected for their ...

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Reinforcement learning experience is a bonus * Results oriented mindset with a focus on developing ...

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Reinforcement learning experience is a bonus * Results oriented mindset with a focus on developing ...

On our Machine Learning team, you'll build the deep learning models that power our trading ... There's no fixed set of skills we are looking for, but you should bring: * Practical experience ...

On our Machine Learning team, you'll build the deep learning models that power our trading ... There's no fixed set of skills we are looking for, but you should bring: * Practical experience ...

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Weekend No Experience Machine Learning information

See Wayne, NJ salary details

$11

$17

$28

How much do weekend no experience machine learning jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for weekend no experience machine learning in Wayne, NJ is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $18.12 per hour, depending on experience, location, and employer.

What is a weekend no experience machine learning job?

A Weekend No Experience Machine Learning job is a part-time opportunity typically scheduled on weekends for individuals interested in machine learning but who have little or no prior experience in the field. These jobs are designed for beginners and may involve tasks such as data labeling, assisting with simple coding projects, or supporting research teams. They provide a great entry point for those looking to gain hands-on experience, learn industry tools, and build their resumes while balancing other commitments like school or a full-time job.

What are the key skills and qualifications needed to thrive as a weekend no experience machine learning professional?

To thrive as a Machine Learning professional, foundational knowledge in mathematics, statistics, and programming (especially Python) is essential, typically demonstrated through coursework or self-directed learning. Familiarity with machine learning libraries such as scikit-learn or TensorFlow and version control systems like Git is highly beneficial, even at an entry level. Curiosity, problem-solving abilities, and effective communication help newcomers stand out as they learn quickly and collaborate with more experienced team members. These skills and qualities are crucial to building practical expertise, contributing to projects, and adapting to the evolving demands of machine learning roles.

What kind of support and training can I expect starting a weekend no experience machine learning role?

In a weekend machine learning role designed for beginners, you can typically expect onboarding sessions, access to online learning materials, and mentorship from more experienced team members. Many organizations provide structured guidance through tutorials, code reviews, and collaborative projects to help you build foundational skills. You’ll likely be assigned manageable tasks that allow you to gradually familiarize yourself with real datasets and tools, while regular feedback ensures your steady progress. Team meetings and open communication channels are common, so don’t hesitate to ask questions and seek help as you learn.

What is the difference between Weekend No Experience Machine Learning vs Weekend Data Analyst?

AspectWeekend No Experience Machine LearningWeekend Data Analyst
Required CredentialsBasic understanding of programming, no formal certification neededBasic knowledge of data analysis tools, possibly some certifications
Work EnvironmentProject-based, flexible hours, often remotePart-time, flexible hours, often remote or on-site
Industry UsageTech, finance, healthcare, startupsBusiness, marketing, finance, consulting

Weekend No Experience Machine Learning roles focus on introductory tasks like data preprocessing and basic model training, suitable for beginners. Weekend Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making. Both roles are flexible and often part-time, but they differ in technical depth and industry focus.

What are popular job titles related to Weekend No Experience Machine Learning jobs in Wayne, NJ?

For Weekend No Experience Machine Learning jobs in Wayne, NJ, the most frequently searched job titles are:

What job categories do people searching Weekend No Experience Machine Learning jobs in Wayne, NJ look for?

The top searched job categories for Weekend No Experience Machine Learning jobs in Wayne, NJ are:

What cities near Wayne, NJ are hiring for Weekend No Experience Machine Learning jobs?

Cities near Wayne, NJ with the most Weekend No Experience Machine Learning job openings:

Machine Learning Engineer

Aston Carter

Manhattan, NY • On-site

$75/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Machine Learning EngineerJob Description
This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to evaluate complex machine learning scenarios and real-world business use cases. You will develop and validate models, review analytical workflows, and provide expert guidance to ensure solutions are technically sound, scalable, and aligned with practical applications, all within a fully remote and flexible engagement.
Responsibilities
  • Evaluate complex analytical and machine learning scenarios for technical accuracy, scalability, and business relevance.
  • Develop, validate, and refine statistical models, predictive analyses, and data-driven solutions that address real-world business problems.
  • Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows.
  • Design realistic business and analytics use cases based on professional experience and industry best practices.
  • Assess modeling approaches, underlying assumptions, and analytical methodologies to ensure robustness and reliability.
  • Create clear, structured documentation and explanations for complex statistical and machine learning concepts.
  • Identify opportunities to improve analytical processes, outputs, and decision-support frameworks across projects.
  • Collaborate within structured project guidelines while managing tasks independently and proactively.
  • Maintain consistent quality, accuracy, and productivity throughout the engagement.
  • Provide expert insights on machine learning, deep learning, NLP, experimentation, forecasting, and model validation to support next-generation analytical and intelligent systems.
  • Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.
Essential Skills
  • 5+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related fields.
  • Strong proficiency in Python and/or SQL for data analysis, modeling, and workflow development.
  • Hands-on experience developing, evaluating, or deploying analytical and machine learning models.
  • Solid understanding of core machine learning concepts and statistical methodologies.
  • Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • Strong written communication skills for documentation and analytical reporting.
  • Comfort working independently in a fully remote environment.
  • Availability for approximately 30-40+ hours per week throughout the engagement.
Additional Skills & Qualifications
  • Experience with deep learning techniques and frameworks.
  • Background in Natural Language Processing (NLP) applications and methodologies.
  • Data Engineering experience, including building and maintaining data pipelines and analytical workflows.
  • Hands-on experience with A/B testing, experimentation design, and causal inference approaches.
  • Forecasting and time series analysis experience for predictive modeling.
  • Data visualization skills and familiarity with business intelligence concepts and tools.
  • Experience with model validation, performance evaluation, and ongoing model monitoring.
  • Quantitative research experience, including rigorous analytical design and interpretation.
  • Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to strategic technology initiatives.
  • Ability to align analytical and intelligent systems with real-world applications and business objectives.
Work Environment
This is a fully remote, project-based consulting engagement that offers a flexible schedule and is best suited for professionals available 30-40+ hours per week. You will work independently within structured project guidelines, focusing on challenging, real-world analytical problems without the distractions of production support, extensive stakeholder management, or corporate bureaucracy. The environment emphasizes autonomy, meaningful technical challenges, and the opportunity to contribute to innovative AI-focused initiatives while enjoying the flexibility and focus that consulting work provides.
Job Type & Location
This is a Contract position based out of New York, NY.
Pay and Benefits
The pay range for this position is $75.00 - $75.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Sep 7, 2026.
About Aston Carter
Aston Carter provides world-class corporate talent solutions to thousands of clients across the globe. Specialized in accounting, finance, human resources, talent acquisition, procurement, supply chain and select administrative professions, we extend the capabilities of industry-leading companies. We draw on our deep recruiting expertise and expansive network to meet the evolving needs of our clients and talent community with agility and excellence. With offices across the U.S., Canada, Asia Pacific and Europe, Aston Carter serves many of the Fortune 500. We are proud to be a ClearlyRated Best of Staffing® Platinum Award winner for both client and talent service.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email astoncarteraccommodation@astoncarter.com for other accommodation options.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Aston Carter logo

About Aston Carter

Sourced by ZipRecruiter

At Aston Carter, we're dedicated to expanding career opportunities for the skilled professionals who power our business. Our success is driven by the talented, motivated people who join our team across a range of positions - from recruiting, sales and delivery to corporate roles. As part of our team, employees have the opportunity for long-term career success, where hard work is rewarded and the potential for growth is limitless. Established in 1997, Aston Carter is a leading staffing and consulting firm, providing high-caliber talent and premium services to more than 7,000 companies across North America. Spanning four continents and more than 200 offices, we extend our clients' capabilities by seeking solvers and delivering solutions to address today's workforce challenges. For organizations looking for innovative solutions shaped by critical-thinking professionals, visit AstonCarter.com. Aston Carter is a company within Allegis Group, a global leader in talent solutions.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Hanover, MA, US