7 of 7 Remote NumPy Jobs in Cambridge

or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience: Experience using Python More ❯

large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like SQL More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯