26 to 50 of 116 scikit-learn Jobs

degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker/Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks ...

degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker/Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks ...

Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

operational teams to deliver features Skills & Experience: Strong Python and SQL skills Familiarity with Azure or AWS Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch) Background in data engineering, analytics engineering, or similar Desirables: ETL/ELT pipeline experience Microsoft Fabric/Data Lake knowledge ...

star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What ...

Python and SQL Proven GCP platform engineering experience Experience building and maintaining scalable data pipelines Exposure to AI/ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch, LangChain) Experience with cloud data platforms and data warehouses Strong analytical and problem-solving skills Comfortable working in Agile delivery environments Eligibility ...

European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs ...

European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs ...

European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs ...

European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs ...

European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs ...

REST & GraphQL APIs Cloud & Infra: AWS (ECS, S3, Lambda), Docker, Cloudformation, Pulumi, CI/CD with GitHub Actions ML/AI: PyTorch, TensorFlow, scikit‐learn, MLflow for experiment tracking, Zenml for ML pipelines Data: PostgreSQL, DynamoDB, data pipelines with Zenml (We’re open to evolving the stack ...

Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated environments Eligibility ...

quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark ...

Computer Science, Statistics, Mathematics, or related quantitative fields preferred. Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit‐learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy ...

measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

testing reports, and handover material. Technical Skills · Programming: Python, C++, JavaScript/TypeScript basic integration support · AI/ML Frameworks: PyTorch, TensorFlow, OpenCV, Scikit-learn · Computer Vision: Object detection, image classification, segmentation, anomaly detection, feature extraction, visual inspection · Models: CNNs, YOLO-style detectors, segmentation models, transformer-based vision ...

including, University degree (STEM or quantitative discipline) Strong foundations in mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions ...

including, University degree (STEM or quantitative discipline) Strong foundations in mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions ...

Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication skills, with the ability to explain complex concepts ...

with hands‐on experience in data analysis and writing production‐quality code. Extensive experience with machine learning and data analysis toolkits (e.g., NumPy, Scikit‐Learn, Pandas). Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem‐solving in day‐to‐day work. Strong written ...

work on Production-grade ML pipelines Model governance & lifecycle management Feature engineering at scale Embedding ML into agent-based systems Core stack Python · scikit-learn · MLflow · SQL · Docker · Feature Stores Nice to have Explainable AI · Anomaly Detection · LLM/NLP integration · Real-time inference ...

fargate, EC2, SNS, SQS, Cloudwatch,EKS,Kubernetes) Desirable skills/knowledge/experience: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn Knowledge of data science and machine learning concepts and tools. Good to have Strategic thinking and problem-solving Collaboration and teamwork Effective communication ...

environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation: experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...

environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...