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Scikit Learn Jobs (NOW HIRING)

Jobtailor

NY · On-site

$110 - $150/hr

Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance * Conducting complex data analysis to support informed decision-making and business growth

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Scikit-learn; TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python ...

Apolis

AIML (Gen AI) - Claud and Python

Austin, TX · On-site

... scikit-learn) and data tooling. • Strong communication skills to collaborate across cross-functional teams. • Available for contractor engagement; sourced via approved vendor channels.

ClifyX

Applied ML Engineer

Louisville, KY · On-site

ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low-latency APIs. • Key Skills: Model development, feature engineering, model serving infrastructure ...

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost. * Implement models in production environments using MLOps best practices (e.g ...

Jobtailor

Senior Data Scientist

Rockville, MD · On-site

$150 - $190/hr

Work with diverse data types and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms * Contribute to the integration of AI, DevSecOps, data ...

Reveille Technologies

ML Ops Engineer

Concord, CA · On-site

Concord, California Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Develop and maintain ML pipelines using tools like MLflow, Kubeflow ...

Merican

AI Observability Engineer

Charlotte, NC · On-site

Develop machine learning models using PyTorch, Scikit-learn, and XGBoost. * Build analytics dashboards and provide AI-driven insights to stakeholders. * Deploy containerized applications using Docker ...

Inficare Technologies

AI Specialist

Pontiac, MI · On-site

$80/hr

TensorFlow, PyTorch, Keras, Scikit-learn * Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks)

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

D. in a related field highly desired • 5+ years of experience with machine learning, statistical modeling, and optimization techniques • Fluent in Python (pandas, numpy, SciPy, and scikit-learn ...

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit-learn. * Experience deploying enterprise AI/ML solutions ,AWS, Azure, Google Cloud Platform (GCP)

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Scikit Learn information

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How much do scikit learn jobs pay per year?

As of Aug 28, 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 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 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 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.

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What are the most commonly searched types of Scikit Learn jobs?

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What states have the most Scikit Learn jobs?

States with the most job openings for Scikit Learn jobs include:

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Scikit Learn jobs near you
Infographic showing various Scikit Learn job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Associate - Agentic AI and Machine Learning Developer

NY • On-site

Jobtailor
See more jobs at Jobtailorexternal

$110 - $150/hr

Other

Posted 10 days ago

Job description


  • Designing and implementing AI and machine learning solutions to transform raw data into actionable insights

  • Developing scalable software and platform systems using advanced algorithms and data engineering techniques

  • Collaborating with clients to understand their needs and deliver tailored data solutions

  • Utilizing programming languages such as Python and Java to build and deploy AI models

  • Integrating data from various sources to enhance data quality and infrastructure

  • Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance

  • Conducting complex data analysis to support informed decision-making and business growth

  • Building and maintaining data pipelines to streamline data processing and analysis

  • Leveraging natural language processing tools to develop innovative text analytics solutions

  • Mentoring junior team members and guiding them in technical and professional development


Requirements

  • At least a Bachelor's degree

  • At least 2 years of experience

  • Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering

  • At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials

  • Demonstrating proficiency in AI implementation and machine learning libraries

  • Utilizing Python and Java for complex data analysis and modeling

  • Excelling in data integration and data pipeline development

  • Applying natural language processing techniques for text analytics

  • Leveraging TensorFlow and Scikit-Learn for deep learning projects


Core Competencies

Proficient in designing and implementing AI and machine learning solutions, with expertise in Python and Java for data analysis and modeling. Skilled in developing data pipelines, integrating data sources, and applying machine learning libraries like TensorFlow and Scikit-Learn for optimized performance.


Highest-signal resume keywords

  • AI Implementation

  • Machine Learning Libraries

  • Data Pipeline Development

  • Natural Language Processing

  • Data Integration


ATS Optimization Keywords
Hard Skills

  • Python

  • Java

  • Machine Learning

  • Data Analysis

  • Data Engineering

  • TensorFlow

  • Scikit-Learn

  • Natural Language Processing

  • Data Pipeline Development

  • Advanced Algorithms


Soft Skills

  • Collaboration

  • Mentoring

  • Communication


Certifications & Qualifications

  • Data Engineering Certifications

  • Machine Learning Certifications

  • Cloud Platform Certifications


Industry Keywords

  • Analytics

  • Data Science

  • Artificial Intelligence

  • Robotics

  • Computer Science

  • Information Systems

  • Engineering


Tools & Technologies

  • AWS

  • Google Cloud

  • Microsoft Azure

  • Databricks

  • Snowflake

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