1 to 15 of 15 Permanent Jupyter Jobs in the UK

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 »

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 »

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 »

skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes 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 »

engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge more »

engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge more »

Redshift, AWS S3 Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Platforms: Creating data pipelines within Databricks or equivalent such as Jupyter Notebook, PowerBI (nice to have) of Enterprise Models for Engineering: microservices, APIs, AWS services to support models (SQS, SNS, etc.) Please Note, The role is 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 »

However, a graduate degree from a STEM course is essential. Familiarity with data science tools is advantageous (such as but not limited to: Python, Jupyter Notebook, Tableau, SQL and Linux). We need someone who can think their way around problems rather than through them, has an aptitude for creative more »

Bloomberg, ISS and MSCI Significant experience with building robust data-oriented solutions in Python, including web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management more »

of Data warehousing Technical expertise with data models, data mining, and segmentation techniques Technical Lead Data Engineer Desirable's: Knowledge of Data bricks and Jupyter notebooks Proven experience of Azure Services Experience in data science and Machine learning models Knowledge of TFS/Azure DevOps. AWS | GCP | Azure | TSQL | SQL more »

using front-office pricing libraries Comfortable with relational and timeseries databases Exposure to distributed systems and messaging (e.g. Kafka) Comfortable with Numpy, Pandas and Jupyter Highly self-motivated, willing to take initiative and make technical decisions more »

This is a new position for a Senior Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science more »