15 of 15 Remote/Hybrid Permanent SciPy Jobs

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). ...

from the ground up. Deep knowledge of cryptocurrency market structure, DeFi protocols and on‐chain data. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts. Experience working with large‐scale time‐series data and databases (e.g., KDB+, InfluxDB, TimescaleDB). Experience in a performance‐sensitive ...

from the ground up. Deep knowledge of cryptocurrency market structure, DeFi protocols and on-chain data. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts. Experience working with large-scale time-series data and databases (e.g., KDB+, InfluxDB, TimescaleDB).Experience in a performance-sensitive ...

structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem ...

deploy Machine Learning capabilities and techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‐learn Take pride in writing clean, reusable, maintainable and well‐tested code A desire to learn and embrace new and emerging ...

degree or equivalent experience in mathematics, physics, computer science, engineering, quantitative finance or a related field Nice to have Python experience, particularly NumPy, SciPy or pandas KDB+/Q or another functional programming language AWS, Docker or Kubernetes Java performance tuning, garbage‐collection optimisation or LMAX Disruptor Knowledge of futures ...

issues and translate them into engineering improvements Proficiency in Python (or similar) for instrument control, benchtop automation, and data analysis using scientific libraries (NumPy, SciPy, Pandas); experience interfacing Python with hardware via vendor SDKs or standard protocols Comfortable bridging hardware and software — wiring up cameras, light sources, and motion control ...

assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record of influencing team direction ...

Core PostgreSQL, MySQL, or other relational database experience AWS or other cloud technologies Machine learning, optimisation, or algorithm development experience Experience with NumPy, Pandas, SciPy, or similar Python libraries Logistics, route planning, or operational research experience Package Up to £60,000 base salary Up to 10% bonus Hybrid working with ...

environmental data analysis. Excellent analytical skills with the ability to interpret complex real-world datasets. Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). Experience communicating technical findings to both technical and non-technical audiences. Ability to work collaboratively across software, engineering and scientific teams. Desirable Experience ...

leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment ...

working with classified information. Expert knowledge of numerical methods, optimisation, and statistical analysis within a defence context Proficiency in mathematical programming using Python (NumPy, SciPy), FORTRAN, or Julia. Familiarity with simulation tools and synthetic environments used for military training and experimentation. Strong understanding of the trade-offs between model fidelity ...

assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record of influencing team direction ...

cross-asset correlation mechanics across equities, rates, FX, and commodities Advanced programming and quantitative development skills, with demonstrable proficiency in Python (NumPy, Pandas, SciPy, API frameworks such as FastAPI/Flask) and VBA/Excel for rapid prototyping, automation, and analytics; working knowledge of C++, SQL, or other quantitative development ...

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++ ...