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Temporary Remote Python Machine Learning Jobs (NOW HIRING)

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical ... What You Bring • Proven software development experience, ideally in Python (other languages a ...

Spotify

Machine Learning Engineer

Required : • Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production • Collaborative mindset, enjoy working ...

Spotify

Machine Learning Engineer

Required : • Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production • Collaborative mindset, enjoy working ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Strong experience with Python and PyTorch * Experience designing experiments and evaluating model ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Strong experience with Python and PyTorch * Experience designing experiments and evaluating model ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Givzey

Machine Learning Engineer

Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas) * Solid understanding of machine learning algorithms and statistical modeling

SmarterDx

Staff Software Engineer, Machine Learning

$260K/yr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch ...

SmarterDx

Senior Software Engineer, Machine Learning

$190/hr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... * 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

Apple

Machine Learning Engineer

Cupertino, CA · On-site +1

$187K - $220K/yr

Develop machine learning models to analyze the distribution of computer vision data. Develop data ... Utilizing Python, Java, SQL DB, and Dagster to design and implement data curation and data ...

InstantServe LLC

Machine Learning Engineer

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Strong programming skills in languages such as Python and experience with libraries like TensorFlow ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch ... Knowledge of machine learning techniques and algorithms, including fine tuning processes and ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Expertise in Python and experience with modern ML frameworks such as PyTorch Preferred * Experience ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Expertise in Python and experience with modern ML frameworks such as PyTorch Preferred * Experience ...

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How much do temporary remote python machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for temporary remote python machine learning in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Temporary Remote Python Machine Learning vs Data Scientist?

AspectTemporary Remote Python Machine LearningData Scientist
Required CredentialsBachelor's in CS, Python, ML certificationsBachelor's/Master's in CS, Statistics, Data Analysis
Work EnvironmentRemote, project-based, tech companiesRemote or on-site, diverse industries
Industry UsageTech, AI startups, research labsFinance, healthcare, tech, consulting
Common Search IntentTemporary remote Python ML rolesData analysis, modeling, insights

Temporary Remote Python Machine Learning roles focus on developing ML models using Python in short-term, remote projects. Data Scientists have broader responsibilities in data analysis, statistical modeling, and insights across various industries. While both roles require Python and related skills, Data Scientists often have a wider scope of work and industry applications.

More about Temporary Remote Python Machine Learning jobs
What cities are hiring for Temporary Remote Python Machine Learning jobs? Cities with the most Temporary Remote Python Machine Learning job openings:
What states have the most Temporary Remote Python Machine Learning jobs? States with the most job openings for Temporary Remote Python Machine Learning jobs include:
What job categories do people searching Temporary Remote Python Machine Learning jobs look for? The top searched job categories for Temporary Remote Python Machine Learning jobs are:
Temporary Remote Python Machine Learning jobs near you
Infographic showing various Temporary Remote Python Machine Learning job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 22 days ago

Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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