16 Permanent Jupyter Jobs with Remote Work Options

Beam, Kinesis SnowPro Certification or equivalent from AWS Comfort working within an agile development cycle and exposure to: Linux development Git and versioning software Jupyter or Databricks Notebooks What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: Competitive pay and 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 »

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 »

ideal candidate if you possess experience in some of the following areas: - Implementing deep learning algorithms using PyTorch - Full-cycle ML model development, from Jupyter Notebook to deployment - Proficiency in the mathematical foundations of ML, including Linear Algebra and Statistics - Familiarity with modern CV and Natural Language Processing (NLP) techniques 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 »

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 »

Oversee the evaluation of third-party data sets to enhance our offerings. Tools: Proficiency in scripting and querying languages. Experience with AWS, Snowflake, DBT, Jupyter notebooks, and other relevant tools. What You Will Need: Advanced degree in statistics, mathematics, computer science, or related field. Strong leadership skills with commercial acumen. more »

a team. Strong understanding of the threat landscape and corresponding risk, along with ability to prioritize areas of attack surface for investigation. Experience with Jupyter notebooks and use cases for Threat Intelligence and Detection, link analysis, and OSINT research. Experience with log analysis from multiple sources (e.g., firewall, IDS, proxy more »

a team. Strong understanding of the threat landscape and corresponding risk, along with ability to prioritize areas of attack surface for investigation. Experience with Jupyter notebooks and use cases for Threat Intelligence and Detection, link analysis, and OSINT research. Experience with log analysis from multiple sources (e.g., firewall, IDS, proxy more »

a team. Strong understanding of the threat landscape and corresponding risk, along with ability to prioritize areas of attack surface for investigation. Experience with Jupyter notebooks and use cases for Threat Intelligence and Detection, link analysis, and OSINT research. Experience with log analysis from multiple sources (e.g., firewall, IDS, proxy more »

a team. Strong understanding of the threat landscape and corresponding risk, along with ability to prioritize areas of attack surface for investigation. Experience with Jupyter notebooks and use cases for Threat Intelligence and Detection, link analysis, and OSINT research. Experience with log analysis from multiple sources (e.g., firewall, IDS, proxy 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 »