1 to 25 of 28 Remote Jupyter Jobs

to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity More ❯

required skill certification promptly. Prefer current DoD IAT II or higher certification. Willingness to do a programming challenge during the interview process. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring More ❯

Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator More ❯

Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator More ❯

Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or Geography. Relevant industry sector knowledge ideal but not essential. A strong communicator More ❯

engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services More ❯

Learning models Experience with OpenSearch, Redis, or other vector capable database Experience using Node.js/Java in an API first architecture. Experience with Python, Jupyter, or other Data Science language Experience with LucidWorks (Apache Solr) Search Platform or similar Experience with Large Language Models (LLM) (e.g. GPT, Flan, LLaMA, etc More ❯

Agile development experience along with related technologies (e.g., Jira). Ability, openness, and eagerness to learn. Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio Full-Time Employee Compensation M9 Solutions' pay range for this position is a general guideline only and not a guarantee More ❯

/or algorithm development • Strong Python programming experience • Experience with common software development and management tools such as Git, Nexus, JIRA, Confluence, VSCode and Jupyter • DevSecOps experience including CI/CD pipelines to build, test, and deploy • Effective oral and written communication skills Desired Skills: Desired Skills: Additional skills in More ❯

Experience working with Federal Government and/or DoD clients. • Prior experience with NoSQL technologies. • Proficient in containerization systems (Kubernetes). • Exposure to Python, JupyterLab, Spark, and/or SQL for developing ETL applications. • Confident with at least one of the major Cloud providers (AWS). • Comfortable with Unix/ More ❯

NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary More ❯

analysis to include continuous monitoring, intelligence, and reporting. Proficient in various query languages (SQL, KQL (Kusto). Python experience, and bonus for experience using Jupyter notebooks. Experience with dashboarding/visualizations (Power-Bi, Superset, Kibana). Ability to abstract threat hunting concepts to look at the 'big picture' and discover More ❯

and sampling techniques such as Monte Carlo, Latin Hypercube, Markov Chain, etc. Knowledge of programming languages and tools such as Python, R, Shiny, and Jupyter Notebooks. Provide professional and scientific expertise in performance of work requiring knowledge and application of mathematics, statistical analysis, modeling/simulation, and/or other More ❯

guidance to less experienced front-end engineers. • General knowledge of machine learning and reinforcement learning concepts, frameworks, and environments, such as Pandas, TensorFlow, and Jupyter Notebook. • Broad knowledge of the general features, capabilities, and trade-offs of common data warehouse (e.g. Apache Hadoop); workflow orchestration (e.g. Apache Beam); data extract More ❯

analysis to include continuous monitoring, intelligence, and reporting. Proficient in various query languages (SQL, KQL (Kusto). Python experience, and bonus for experience using Jupyter notebooks. Experience with dashboarding/visualizations (Power-Bi, Superset, Kibana). Ability to abstract threat hunting concepts to look at the 'big picture' and discover More ❯

and AI-powered solutions for power grid analytics Collaborate with cross-functional teams, including business experts and data engineers in the electricity field. Use JupyterLab for data exploration, model development, and prototyping of machine learning solutions. Design and implement interactive dashboards and visualizations using Grafana. Apply 'traditional' (such as ARIMA … Computer Science, Data Science or related fields. At least 2 years of experience in machine learning and data science and analytics. Proficiency in using JupyterLab or AWS Sagemaker for interactive data analysis and model development. Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas More ❯

to work on a hybrid basis as their offices in London. Essential Skills Python, Pytest Common python libraries such as Pandas/Numpy/Jupyter notebooks OpenTelemetry Git/Github Github actions Docker Microservices and/or lambdas Postgresql Streamlit Desirable skills include: The Fast API ecosystem (Pydantic, SQLAlchemy, Alembic More ❯

to work on a hybrid basis as their offices in London. Essential Skills Python, Pytest Common python libraries such as Pandas/Numpy/Jupyter notebooks OpenTelemetry Git/Github Github actions Docker Microservices and/or lambdas Postgresql Streamlit Desirable skills include: The Fast API ecosystem (Pydantic, SQLAlchemy, Alembic More ❯

systems, network devices, and cybersecurity devices. An understanding of data cleansing and profiling An understanding of data schema, model, and ontology concepts Experience with Jupyter notebooks or similar AI/ML frameworks. Good communication skills Experience with Zoom/Teams/Meet style team meetings More ❯

interaction with Oracle DBs Proven experience in predictive modeling (Machine Learning) for forecasting purposes Familiarity with development tools and libraries such as Conda, GitLab, Jupyter, PyCharm Data visualization skills (mandatory: Tableau; Power BI is a possibility) Preferable: Knowledge of AB Initio Familiarity with SAS universe Business experience Mandatory: Proven data More ❯

methods and tools like SQL, Python, or R. Experience in the energy sector is preferred. Familiarity with statistical data evaluation tools such as SAS, Jupyter, etc. Here's what you need to know Award-Winning Benefits: Our market-leading benefits package includes 26 days of holiday plus bank holidays, a More ❯

methods and tools like SQL, Python, or R. Experience in the energy sector is preferred. Familiarity with statistical data evaluation tools such as SAS, Jupyter, etc. Here's what you need to know Award-Winning Benefits: Our market-leading benefits package includes 26 days of holiday plus bank holidays, a More ❯

Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar. Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector databases. Understanding of software engineering best practices including version control, testing, CI/CD, containerisation, and observability. Familiarity with MLOps principles More ❯

to AI Model Development & Model Risk Management (MRM) Startup mentality with a desire to assist beyond defined role responsibilities Familiarity with Python/R, Jupyter Notebooks, Shortcut, ZenDesk, & Notion is preferred Some travel is required for team events and customer visits Are you missing some qualifications? We will consider candidates More ❯

analysis tools. Who you are You will have strong analytical skills. You will have a basic understanding and experience of SQL and Python (including Jupyter Notebooks) for data analysis, manipulation and reporting. You will have basic experience with data visualization tools e.g. Tableau Desktop, PowerBI or similar. You will have More ❯