11 of 11 Remote/Hybrid Permanent SciPy Jobs

subject, or [2] years’ relevant experience in data science or quantitative research Skills and experience we’re looking for: Data analysis in Python (NumPy, SciPy, pandas, scikit-learn or similar) Heavy, day-to-day use of AI tools in your technical work, such as coding assistants and LLMs, with ...

latency low. We operate a hybrid Python/C++ engineering stack. A large portion of our stack is Python-based (utilising libraries like NumPy, SciPy, PyTorch, Polars, Ray, Plotly, and Dash), but an increasing amount of our most performance-critical systems are written in modern C++ (C++23). ...

scales effectively and keeps trading latency low. Our ML stack is Python based and utilises modern ML libraries and tooling including Numpy, Scipy, Pytorch, Polars, Ray, Plotly, Dash etc. The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade ...

experience we’re looking for: Experience leading or mentoring a team of data scientists, scientists or engineers Hands-on data science in Python (NumPy, SciPy, pandas, scikit-learn or similar), turning exploratory work into quantified results Heavy, day-to-day use of AI tools in your own technical work, such ...

with good understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills ...

chemometrics and statistical learning for high-dimensional, correlated data, including rigorous validation and prevention of data leakage. Strong Python (e. g. NumPy/SciPy, scikit-learn, PyTorch) with an emphasis on transparent, reproducible analysis. Experience setting scientific direction for others and managing external scientific partners or contractors. Advantageous Experience with ...

roadmap, including how the library scales and how models reach deployed units. The Stack Language: Python, end to end. Signal processing and ML: NumPy, SciPy, scikit-learn, PyTorch. Backend and interface: FastAPI, Flask or a comparable lightweight framework. Cloud: Standard AWS, GCP or Azure SDKs. Nothing exotic. You are welcome ...

handling (pipetting robots); failure-mode detection and recovery; data quality checks; near-real-time data processing. Familiarity with scientific computing and machine learning — NumPy, SciPy, Jupyter, PyTorch, Matplotlib. Knowledge of CI/CD (e.g. GitHub Actions) and version control with Git. Experience with Jira and Confluence in a hybrid agile ...

model development, training, and deployment across our hardware-linked data pipeline. Bring 2+ years in ML engineering, with Python-based stacks (NumPy/SciPy/scikit-learn/PyTorch). Hybrid work in Bristol, with some lab visits and equity discussion opportunities. #J-18808-Ljbffr ...

internal tool so it doesn’t need to be beautiful code – it needs to answer questions quickly!) C++ MATLAB Julia Python (inc. NumPy/SciPy) 5G or DVB Standards Familiarity Experience working with systems based on either 3GPP standards or DVB standards A deep understanding of the physical layer ...

range of topics related to general high performance computing such as multi-threading, networking, profiling and optimisation. Experience working with the NumPy/SciPy stack is essential, as is experience with tools like C++, Numba etc for performance optimisation. Knowledge of common ML algorithms & techniques is a plus, although … approach to tackling problems and designing solutions Experience with: Python programming Proficient in C/C++ on modern architectures Experience with the NumPy/SciPy stack Working with Linux platforms with knowledge of various scripting languages Strong general high performance computing: Multi threading Profiling Python/C/C++ ...