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Remote No Experience Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Employee Assistance Program - confidential support for personal or professional challenges, at no ...

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... Experience creating, maintaining, and communicating complex technical documentation for machine ...

... remote position, allowing you to work from home or location of record within the U.S. with no in ... Education and Experience The below represents the primary duties of the position, others may be ...

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Have no Azure experience * Have no production deployment experience * Only know ML frameworks at a ...

New

We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language ...

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineer to help us design and deliver CX ...

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical ... This position is ideal for engineers with demonstrable experience building functional, production ...

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Important Skills * Several years of experience with Python and machine learning frameworks

Experience working with PyTorch, JAX, or similar modern machine learning frameworks. * Experience ... Remote-friendly work environment with an async-first culture. * Opportunity to solve challenging AI ...

Senior Machine Learning Engineer

$125K - $165K/yr

... the employee experience. This is a fully remote position, allowing you to work from home or ... S. with no in-office requirements.? You must be available five days per week during designated work ...

Machine Learning Engineer

New York, NY ยท On-site +1

$170K - $212K/yr

Who You Are * You have experience implementing ML systems at scale in Java, Scala, Python or ... You are welcome at Spotify for who you are, no matter where you come from, what you look like, or ...

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Remote No Experience Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do remote no experience machine learning jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote no experience machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are some typical entry-level tasks for remote machine learning roles that require no prior experience?

In remote entry-level machine learning positions that don't require experience, you'll often start with foundational tasks such as data cleaning, labeling datasets, basic exploratory data analysis, or assisting with the implementation of machine learning algorithms under supervision. You may also be responsible for maintaining project documentation and supporting more experienced team members with research or testing. Collaboration usually takes place via online platforms, so strong communication and the ability to learn new tools quickly are important. These tasks are designed to help you build foundational skills and gradually take on more complex responsibilities as you grow in the role.

What are the key skills and qualifications needed to thrive in a remote, entry-level machine learning role, and why are they important?

To thrive in a remote, entry-level machine learning role, you need a solid understanding of mathematics, programming (especially Python), and basic machine learning concepts, often gained through online courses or a relevant degree. Familiarity with technical tools such as Jupyter Notebooks, TensorFlow, or scikit-learn, and experience using version control systems like Git are commonly expected. Strong self-motivation, effective communication, and the ability to collaborate virtually make candidates stand out in remote environments. These skills and qualities are crucial for successfully contributing to projects, adapting to new technologies, and working efficiently with distributed teams.

What is the difference between Remote No Experience Machine Learning vs Remote No Experience Data Analysis?

AspectRemote No Experience Machine LearningRemote No Experience Data Analysis
Required CredentialsBasic understanding of programming, statistics, and data concepts; no formal certification neededBasic knowledge of data handling, Excel, and analytical tools; no formal certification needed
Work EnvironmentRemote, often collaborative with data science teamsRemote, often independent or team-based data review tasks
Industry UsageUsed in tech, finance, healthcare for predictive modelingUsed across industries for reporting, insights, and decision-making

While both roles are entry-level and remote, Machine Learning focuses on understanding algorithms and predictive models, whereas Data Analysis emphasizes interpreting data and generating reports. Your choice depends on whether you prefer working with algorithms and coding or analyzing data for insights.

More about Remote No Experience Machine Learning jobs
What cities are hiring for Remote No Experience Machine Learning jobs? Cities with the most Remote No Experience Machine Learning job openings:
What are the most commonly searched types of Remote Machine Learning jobs? The most popular types of Remote Machine Learning jobs are:
What states have the most Remote No Experience Machine Learning jobs? States with the most job openings for Remote No Experience Machine Learning jobs include:
Infographic showing various Remote No Experience Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Confie

Addison, TX โ€ข On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008