Browse Data & ML Jobs
Search 132 curated tech job listings scraped in real-time from LinkedIn, Glassdoor, RemoteOK, and more. Filter by role, location, seniority, and source to find your next opportunity.
132 jobs found for "Scikit-learn"
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Data Scientist - Machine Learning & AI, Intermediate
…Typical Tools And Technologies Python libraries: NumPy, pandas, SciKit-Learn, Pytorch, TensorFlow Data visualization tools: Plotly/Dash, Kibana, Matplotlib, Seaborn Machine learning frameworks: SciKit-Learn, Pytorch, TensorFlow Operating Systems: RHEL, Linux Batch processing … Required Strong experience in Python programming, including experience with AI and machine learning libraries (e.g. Pytorch, TensorFlow, scikit-learn) Experience with deep learning models and libraries, particularly Huggingface, Pytorch, etc. Strong understanding…
Data Scientist - Machine Learning & AI
…Typical Tools And Technologies Python libraries: NumPy, pandas, SciKit-Learn, Pytorch, TensorFlow Data visualization tools: Plotly/Dash, Kibana, Matplotlib, Seaborn Machine learning frameworks: SciKit-Learn, Pytorch, TensorFlow Operating Systems: RHEL, Linux Batch processing … Required Strong experience in Python programming, including experience with AI and machine learning libraries (e.g. Pytorch, TensorFlow, scikit-learn) Experience with deep learning models and libraries, particularly Huggingface, Pytorch, etc. Strong understanding…
R&D Intern - Fairness in Deep Learning - Paris
…variables continues. Pour cela, le/la stagiaire pourra s'appuyer sur des bibliothèques open source (PyTorch, scikit-learn), afin de rester dans un cadre de code reproductible et facile à adopter. Pré-requis…
R&D Intern - Fairness in Deep Learning - Paris
…variables continues. Pour cela, le/la stagiaire pourra s'appuyer sur des bibliothèques open source (PyTorch, scikit-learn), afin de rester dans un cadre de code reproductible et facile à adopter. Pré-requis…
R&D Intern - Fairness in Deep Learning - Paris
…variables continues. Pour cela, le/la stagiaire pourra s'appuyer sur des bibliothèques open source (PyTorch, scikit-learn), afin de rester dans un cadre de code reproductible et facile à adopter. Pré-requis…
Python Machine Learning Engineer
…Title Python Machine Learning Engineer Job Description Role Overview: We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate … Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.). Ability to understand…
Data Scientist – Python & Cloud Data Platforms
…Your day-to-day will revolve around the classic Python data stack: pandas, NumPy, and scikit-learn. You’ll also work on modern enterprise data platforms — running notebooks and lakehouse workloads … structured sources of varying quality Build, validate, and tune machine learning models for classification, regression, forecasting, segmentation, and recommendation using scikit-learn, XGBoost, and statsmodels Design and analyze experiments: A/B tests, statistical…
Data Scientist – Python & Cloud Data Platforms
…Your day-to-day will revolve around the classic Python data stack: pandas, NumPy, and scikit-learn. You’ll also work on modern enterprise data platforms — running notebooks and lakehouse workloads … structured sources of varying quality Build, validate, and tune machine learning models for classification, regression, forecasting, segmentation, and recommendation using scikit-learn, XGBoost, and statsmodels Design and analyze experiments: A/B tests, statistical…
Data Scientist – Python & Cloud Data Platforms
…Your day-to-day will revolve around the classic Python data stack: pandas, NumPy, and scikit-learn. You’ll also work on modern enterprise data platforms — running notebooks and lakehouse workloads … structured sources of varying quality Build, validate, and tune machine learning models for classification, regression, forecasting, segmentation, and recommendation using scikit-learn, XGBoost, and statsmodels Design and analyze experiments: A/B tests, statistical…
Senior Data Scientist
…growth initiatives. This is a hands-on role for someone who combines strong applied machine learning with modern ML Ops practices. We are looking for a data scientist who can take models … domain. Proficiency in SQL, Python and core data science and machine learning libraries, such as NumPy, Pandas and Scikit-Learn. Strong practical experience with machine learning model development, deployment, monitoring, and iteration…
Applied AI Scientist
…modeling to well-tested, maintainable AI tools, including operationalization and MLOps. Develop and enhance machine learning models for classification, anomaly detection, root-cause analysis, and related use cases, and integrate them into … systems in practice. Strong background in data science and machine learning, with experience using tools and frameworks such as scikit-learn, XGBoost/LightGBM, and deep learning frameworks. Strong software engineering and programming skills…
Applied AI Scientist
…modeling to well-tested, maintainable AI tools, including operationalization and MLOps. Develop and enhance machine learning models for classification, anomaly detection, root-cause analysis, and related use cases, and integrate them into … systems in practice. Strong background in data science and machine learning, with experience using tools and frameworks such as scikit-learn, XGBoost/LightGBM, and deep learning frameworks. Strong software engineering and programming skills…
Applied AI Scientist
…modeling to well-tested, maintainable AI tools, including operationalization and MLOps. Develop and enhance machine learning models for classification, anomaly detection, root-cause analysis, and related use cases, and integrate them into … systems in practice. Strong background in data science and machine learning, with experience using tools and frameworks such as scikit-learn, XGBoost/LightGBM, and deep learning frameworks. Strong software engineering and programming skills…
Telematics Data Scientist
…sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality … just notebooks. Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn). Experience building or maintaining data pipelines and tools that are reliable and maintainable. Clear communication skills…
Machine Learning Engineer II - Behavioral Security Products
…candidate will have a background in machine learning, data science, and software engineering, with the ability to design, develop, and implement robust machine learning models and systems in production. What … Learning Engineer or similar role in a commercial environment (3+ years). Knowledge of machine learning algorithms, statistics, and predictive modeling. Proficiency with Python and machine learning toolkits like pandas, scikit-learn…
Data Scientist / Machine Learning Engineer | Healthcare & Life Science
…Datenpipelines und der Weg vom Prototyp in die Produktion Softwaredevelopment mit gängigen Machine Learning und Statistik Bibliotheken (scikit-learn, SciPy, NumPy, Pandas, PyTorch, Tensorflow etc.) und typischen Development-Tools (Git, GitFlow, GitHub … Berufsjahren Sicherer Umgang mit Python und gängigen Bibliotheken (z. B. pandas oder Polars, NumPy, SciPy, scikit-learn, PyTorch ) sowie SQL Solides Verständnis statistischer Methoden und ML-Verfahren Erfahrung mit Git und kollaborativer…
Python Programmer
…emphasis on AI/ML integration. Implement, train, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Agent Development Kit (ADK, by Google), LangChain/LangSmith and/or Gradio, Streamlit Preprocess, analyze … examples of AI/ML projects. Strong proficiency in Python and its AI/ML ecosystem (NumPy, pandas, scikit-learn, etc.). Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, or Keras). Solid understanding of machine…
Applied AI Research Scientist
…parallel with minimal manual intervention. The team combines expertise across Artificial Intelligence and Machine Learning (both research and applications), data science, statistical physics and molecular simulations, computational chemistry (CADD), and other scientific … applying ML in scientific or industrial settings. Strong experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Solid Python programming skills and experience working with scientific computing libraries. Nice‑to‑Have Experience…
Développeur Python / IA
…Learning et Deep Learning (réseaux de neurones, NLP, Computer Vision, etc.). Optimiser les performances des algorithmes en termes de précision, rapidité et scalabilité. Intégrer des bibliothèques Python avancées ( TensorFlow, PyTorch, scikit-learn … expérience ou des présentations. Environnement & méthodologies Langages et frameworks : Python (obligatoire), SQL, TensorFlow , PyTorch , scikit-learn , Keras , Pandas , NumPy . Outils DevOps/MLOps : Docker, Kubernetes, Git, CI/CD, MLflow , Airflow . Cloud : AWS, Azure…
Senior Data Scientist (Imaging)
…design for imaging modalities in close partnership with ML and data scientists. Surface what models learn about cellular morphology, identify failure modes, and feed findings back into modelling decisions. Partner with … with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas / polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding…