21 Jupyter Jobs in England

technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies eg NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages Desirable Requirements: Jupyter Hub Awareness Minio or similar S3 storage technology Trino/Presto RabbitMQ or other common queue technology eg ActiveMQ NiFi Rego Familiarity with code development more »

tools like pandas and NumPy. Advanced data visualization skills with Matplotlib, Seaborn, or Plotly. Familiarity with database systems and SQL. Proficiency with Excel, PowerPoint, Jupyter Notebooks, and IDEs like Pycharm or Visual Studio. Nice-to-Have Skills: Experience with version control systems like Git/Github. Experience with dashboard tools more »

in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our more »

working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves more »

development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »

development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »

data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery Experience of using git for version control (e.g. BitBucket) Experience with Jupyter Notebooks Competencies Enquiring/questioning mind Ability to pick up new tools and keen to embrace new technologies and the ability to overcome the challenges more »

development, including research and developing new propositions. Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow more »

development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »

development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »

S3 Cloud Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Data Platforms: Creating data pipelines within Databricks or equivalent such as Jupyter Notebook, PowerBI (nice to have) Understanding of Enterprise Models for Engineering: microservices, APIs, AWS services to support models (SQS, SNS, etc.) Preferred Qualifications: Master's more »

and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy more »

and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy more »

sport (rules, terminology, insight). Proficiency in Python. Experience using relational databases and SQL. Familiarity with data manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logistic regression, decision trees, random forest, unsupervised methods) is preferred. Ability to more »

performance to inform design and implementation decisions. Software development experience and knowledge of C++11/14/17. Working knowledge of Python (Numpy, Scipy, Jupyter Notebooks, etc). A measured, scientific approach to building complex engineering systems Extra kudos if you have: The ability to understand and debug complex system more »

Python programming but also operate with modern tech such as Snowflake, Airflow, DBT, Kubernetes/Docker and cubeJS whilst also using Tableau CRM and Jupyter notebooks for gaining data insights. If you think there’s a better or newer tool, you’re free to use that too. The key think more »

strong foundation in statistical methods and model building to extract valuable insights from data. Proficient in Python and its core data science libraries (Pandas, Jupyter Notebook, Scikit-learn, NumPy, SciPy, etc.) for efficient data manipulation and analysis. Data Wrangling: You have the skills to tackle messy data sets with confidence more »

and Digital and TV attribution. Excellent data visualization and storytelling capabilities. Proficiency in coding, preferably in R or Python; experience with R Studio or Jupyter notebooks is a plus. Solid proficiency in Excel and PowerPoint. more »

targets for experimental testing. Be familiar with NGS and associated pipelines. Collate and annotate reference sequences across multiple microorganisms. Be confident using python and Jupyter Lab books as a working and application development environment along with GIT as a version control system. Requirements include; MSc degree or equivalent in a more »

and NCBI databases Be familiar with NextGen sequencing and associated pipelines Collate and annotate reference sequences across multiple microorganisms Be confident using python and Jupyter Lab books as a working and application development environment along with GIT as a version control system Generate, record, manipulate, analyse and present complex data more »

Senior Data Scientist - London - Permanent Python (Jupyter), SQL, Machine Learning, GIS, GCP, Renewables, Energy ***Please note this role does not offer sponsorship, and you must be based in the UK to apply*** I'm currently working with an exciting start-up focused around decarbonisation. They have received a new round … that we can show in our platform Essentials: 4+ years spread across Data Science, Engineering, and Analysis. Excellent skills using Python/R and Jupyter notebooks, and SQL databases (MySQL/PostgreSQL). Track record building end-to-end machine learning models Experience with geographic data/GIS data Exposure … GCP tools (e.g. Dataflow, BigQuery, Vertex AI) Experience working in a SaaS start up is a massive bonus! Senior Data Scientist - London - Permanent Python (Jupyter), SQL, Machine Learning, GIS, GCP, Renewables, Energy more »