23 of 23 Jupyter Jobs

that serve real users at scale without incurring technical debt. Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model More ❯

that serve real users at scale without incurring technical debt. Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model More ❯

of at least one public cloud platform (AWS, Azure or GCP). Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks. Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala. Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar. More ❯

ideas and findings to diverse audiences, including customers, executives, and non specialists. Has performed deep dives into data and presented the results of analysis and modelling using tools like Jupyter Notebooks. Has experience designing and developing data ingestion and transformation pipelines in languages like Python, potentially using cloud solutions in AWS, Azure, or GCP. Is familiar with the full lifecycle More ❯

understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in More ❯

preferred. Familiarity with various database structures and experience working with large datasets. Exposure to data science tools and platforms that support data preparation, algorithm development, and visualization (e.g., pandas, Jupyter Notebooks, Power BI). Intermediate technical and analytical abilities with programming skills in a language such as Python. Intermediate understanding of the techniques to collect, organize, blend, cleanse and synthesize More ❯

An understanding of the importance of good practices for producing reliable software and reproducible analyses (e.g. version control, issue tracking, automated testing, package management, literate analysis tools such as Jupyter). Experience in making or evaluating the case for new projects (e.g. authoring or evaluating research proposals or business cases) and leading projects from ideation, scoping including developing budgets, and More ❯

issues in live production 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). Expertise: Solid understanding of computer science fundamentals and More ❯

include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series More ❯

findings and recommendations to non-technical stakeholders 3. Ideal Qualifications 5+ years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong communication skills for translating technical More ❯

activities such as Data Science surgeries, seminars and other events . Your key duties Work with researchers at the Met Office and partner organisations to create tutorials and demonstrator Jupyter Notebooks showing approaches and solutions to data science and machine learning challenges in Environmental Science that demonstrate efficient and responsible use of these techniques. Contribute to the creation and delivery More ❯

production. Requirements: Experience in a client-facing technical role (Solutions Engineer, AI Consultant, or similar) Strong Python skills and experience with LLMs/LangChain Confident building quick prototypes (Streamlit, Jupyter, etc.) Able to bridge business needs and technical delivery Startup mindset: fast-moving, collaborative, hands-on Bonus: experience in finance, legal, or insurance; Azure exposure; ISO 27001 familiarity This is More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

for specific business/data service needs; provide technical consultation during sales calls for Redis Vector Similarity; perform data analysis/research on internal/external datasets using notebooks (Jupyter); participate in peer code reviews (GitHub) to ensure team standards; reduce bugs/quality issues; write/maintain automated software tests (PyTest) to ensure accurate, high quality code; research/… implement fixes to client reported issues in Redis AI libraries; communicate status (GitHub, JIRA, and Zendesk); create/maintain self-contained examples to demonstrate use of Redis AI libraries (Jupyter, Docker); communicate status/proactively address issues; attend daily progress/cross department meetings; create/review Redis promotional materials for public; create documentation for AI software projects using internal More ❯

the BI reporting team by creating and maintaining data solutions for KPI reporting. Developing scalable, performance-optimised ELT/ETL pipelines using T-SQL, Python, ADO, C#, PySpark and Jupyter Notebooks. Working with the Gazetteer and GIS teams to maintain stable, consolidated database platforms for mapping and GIS systems. Contributing to the development and maintenance of a Data Warehouse and More ❯

team. Skills: • 13 years of experience. • HDFS, Hive, S3, ADLS, Spark, Confluent Kafka, Spark Streaming, Databricks, Git, CICD, Big query, Python, SQL, Unix shell scripting, RDBMS, ETL, (ETL), Spyder, Jupyter Notebook, Salesforce. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources More ❯

as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‐based … train AI systems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics. Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's degree in data science, statistics, computer science, or related field in the More ❯

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and … part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a Data Scientist with experience of Python and Jupyter notebooks with the capability to source data and communicate and liaise with data providers. You will need an understanding of data licensing and its implications, full ETL pipeline experience and … full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical More ❯

solutions to customer problems. Develop software targeting a range of areas from bare-metal MCU, signal processing, Embedded Linux, GUI development on Windows, Linux and mobile; data analytics using Jupyter notebooks. Program in a range of languages appropriate to the solution ranging from Rust, C/C++ to Python and Web Development frameworks. Work/interact with FPGAs, electronic design … and Design Patterns + Experience of software testing and design for test Desirable: + GUI development frameworks such as eGUI, GTK. Tauri. + Yocto, Petalinux and uBoot. + Python, Jupyter Notebooks or Matlab. + Web Development languages (HTML, Javascript, Typescript, React). + IOS/Android development. + Communications protocols - TCP, QUIC, WiFi. + GNU Radio and Software Defined Radios. More ❯

workflows (preferably using Airflow) Hands-on experience with building data pipelines in a programming language like Python Hands-on experience with building and maintaining Tableau dashboards and/or Jupyter reports Working understanding of Hadoop and Big data analytics Ability to understand the needs of and collaborate with stakeholders from analytics and business teams Education : Bachelors or Masters degree in … in the field of data engineering or business intelligence/analytics Required Skills: PYTHON HIVE ETL BIG DATA ANALYTICS DATA WAREHOUSE DESIGN/ARCHITECTURE Tableau dashboards and/or Jupyter reports ENGINEER DATA VISUALIZATION AWS Tableau, D3, or Plotly node.js or flask apps Preferred: Airflow More ❯

solutions to customer problems. Develop software targeting a range of areas from bare-metal MCU, signal processing, Embedded Linux, GUI development on Windows, Linux and mobile; data analytics using Jupyter notebooks. Program in a range of languages appropriate to the solution ranging from Rust, C/C++ to Python and Web Development frameworks. Work/interact with FPGAs, electronic design … for test Desirable: Experience in the Defence/Aerospace or safety regulated environment would be advantageous. GUI development frameworks such as eGUI, GTK. Tauri. Yocto, Petalinux and uBoot. Python, Jupyter Notebooks or Matlab. Web Development languages (HTML, Javascript, Typescript, React). IOS/Android development. Communications protocols - TCP, QUIC, WiFi. GNU Radio and Software Defined Radios. FPGAs and Exposure to More ❯

research/production use. Scale up and productionize research model pipelines into large-scale, reliable distributed compute jobs. Manage distributed compute workflows with Dask, Ray, and other frameworks. Develop Jupyter tooling, templates, and widgets for strategy prototyping and parameter tuning. Implement performance attribution, PnL decomposition, and diagnostic tools. Build dashboards and visualizations (Bokeh, Matplotlib) for order book and strategy monitoring. … development experience. Extremely effective in writing clean, modern Python code. Experience building and documenting high-quality APIs for developers. Deep Python ecosystem expertise: Pandas, Numpy, Bokeh, PyArrow, matplotlib, IPyWidgets, Jupyter, uv, etc. Proven experience building large data pipelines/ETL workflows. Comfortable working in Jupyter notebooks. An understanding of crypto or TradFi markets and trading concepts. Nice to Have Experience More ❯