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Scikit Learn Jobs (NOW HIRING)

VTG

Data Scientist

Chantilly, VA

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 ...

PROLIM Global Corporation

Data Scientist

Plano, TX · On-site

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 ...

VTG

Data Scientist

Mclean, VA

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 ...

VTG

Data Scientist

Herndon, VA

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 ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... scikit-learn, LangChain) and LLMs. • Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). • Experience in building Asynchronous Python APIs. • ...

Apex Informatics

Data Scientist

Irving, TX · On-site

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 ...

Hygiena

Applied AI Engineer

Camarillo, CA · On-site

Responsibilities : • Design, develop, and deploy machine learning models and AI features using Python (scikit-learn, PyTorch, TensorFlow, or equivalent frameworks). • Collaborate with Product and ...

Palnar

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 ...

Tech Tammina

AIML Engineer (Gen AI)

Austin, TX · On-site

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 ...

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Scikit Learn information

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How much do scikit learn jobs pay per year?

As of Jul 18, 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-focused 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 the Scikit Learn position, and why are they important?

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:
What job categories do people searching Scikit Learn jobs look for? The top searched job categories for Scikit Learn jobs are:
Scikit Learn jobs near you
Infographic showing various Scikit Learn job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior AI/ML Developer with Security Clearance

Senior AI/ML Developer with Security Clearance

MasterPeace Solutions, Ltd.

Fort George G Meade, MD • On-site

Other

Re-posted 3 days ago

Job description

Qualifications: • Bachelor's degree plus 8-years of experience
• Python (i.e. SciKit-learn, TensorFlow, PyTorch), • R
• GIT
• Jupyter Notebooks. • Relational Database Management (with TensorFlow) Desired: proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using approaches such as but not limited to, retrieval augmented generation (RAG) and model context protocol (MCP).

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