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Scikit Learn Jobs (NOW HIRING)

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. * Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data ...

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. Practical experience with MLOps concepts such as model ...

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. * Practical experience with MLOps concepts such as model ...

ML Engineer

Malvern, PA · On-site

$100K - $135K/yr

... using Scikit-learn, XGBoost, TensorFlow, and PyTorch. • AWS Cloud Services Proficiency in S3, EC2, IAM, Lambda, ECR, ECS/EKS, CloudWatch, and Step Functions for ML workloads. • MLOps & CI/CD ...

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

... or Scikit-learn • Proficiency in data handling and manipulation using libraries like NumPy and Pandas • Experience with SQL databases for managing and accessing training data • Knowledge of ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain ...

Proficiency in training and deploying data models Proficiency in Python and experience with relevant libraries such as Pandas, NumPy, SciPy, and Scikit-learn. Experience with Azure AutoML Experience ...

Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch. Core Roles and Responsibilities Data Collection and Preparation: Gathering unstructured and structured data from ...

Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and data tooling. * Strong communication skills to collaborate across cross-functional teams. * Available for ...

Showing results 21-40

Scikit Learn information

See salary details

$37.5K

$122.7K

$196.5K

How much do scikit learn jobs pay per year?

As of Aug 8, 2026, the average yearly pay for scikit learn in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities in a scikit learn job?

In a Scikit-learn-focused role, your day-to-day responsibilities often include developing and testing machine learning models, performing data preprocessing, feature engineering, and evaluating model performance using Scikit-learn's extensive toolkit. You may collaborate closely with data engineers, software developers, and business analysts to understand project requirements and integrate models into production systems. Regular tasks can also involve tuning hyperparameters, interpreting model outputs, and documenting your work for future reference or team knowledge sharing. This blend of technical and collaborative tasks helps ensure your models are both effective and aligned with business goals.

What is a scikit learn job?

A Scikit Learn job typically involves using the Scikit Learn library in Python for machine learning tasks such as data preprocessing, model training, and evaluation. Professionals in these roles often work as data scientists, machine learning engineers, or AI researchers to develop predictive models and enhance data-driven decision-making. Responsibilities may include implementing supervised and unsupervised learning algorithms, tuning hyperparameters, and integrating models into production systems. Strong proficiency in Python, statistical analysis, and experience with libraries like NumPy and pandas are often required.

What are the key skills and qualifications needed to thrive in a scikit learn position?

To excel in roles focused on Scikit-learn, you need a solid background in machine learning, programming in Python, and statistical analysis, often backed by a degree in computer science, data science, or a related field. Familiarity with Scikit-learn's API, version control systems like Git, and practical experience using Jupyter notebooks or similar development environments are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to stakeholders are vital soft skills. These abilities are crucial for developing effective machine learning solutions and collaborating efficiently within multidisciplinary data teams.

More about Scikit Learn jobs
What are the most commonly searched types of Scikit Learn jobs? The most popular types of Scikit Learn jobs are:
What states have the most Scikit Learn jobs? States with the most job openings for Scikit Learn jobs include:
Infographic showing various Scikit Learn job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Machine Learning Engineer

Happy Elements

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and implementing machine learning models while collaborating closely with data and software engineers to optimize production pipelines.
Responsibilities:
• Build, maintain, and improve efficient and reliable data mining and machine learning models.
• Design, implement and tune machine learning models, and provide performance feedback.
• Work closely with data engineers to adapt and improve data pipelines for production models.
• Work closely with software engineers in putting models into production (interface, SLA, scalability).
Qualifications:
Required:
• Strong academic background required.
• MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
• Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow).
• Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
• Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models.
• Master with SQL or other relational database.
• Master in building and productionizing end-to-end machine learning systems.
• Extensive data modeling and data architecture skills.
• Advanced math skills (linear algebra, Bayesian statistics, group theory).
• Ability to consistently exercise independent discretion and judgment on significant matters.
• Strong analytical, problem-solving and communication skills.
• Ability to work in a team environment
Preferred:
• Knowledge and experience in cloud computing is a plus.
Company:
Happy Elements is focused on the development of social, web, and mobile games as well as publishing services. Founded in 2009, the company is headquartered in Beijing, CHN, with a team of 1001-5000 employees. The company is currently Late Stage.