1 to 25 of 34 SciPy Jobs in England

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). ...

Python; experience with R and/or C/C++ is a strong plusExtensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar)Proven experience building or maintaining machine learning systems in a distributed computing environmentProficiency developing in a Linux environment with ...

data engineering solutions. You’re comfortable writing production-grade code, not just notebooks. Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn). Experience building or maintaining data pipelines and tools that are reliable and maintainable. Clear communication skills: able to break down problems into ...

sequential modeling Excellent communication skills with the ability to communicate concepts clearly and precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect or Senior Manager Proven track ...

years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed data ...

management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention ...

will be considered based on their overall skills, experience and suitability for the role. Strong Python for data analysis and modelling (e.g. pandas, NumPy, SciPy, scikit-learn or similar) Strong SQL, including querying, joining and aggregating data across relational databases Experience ingesting, cleaning and transforming data from varied sources into ...

machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development ...

machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development ...

optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. ...

statisticsUnderstanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-LearnStrong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, PolarsFamiliarity with AWS Cloud services such as EMR, SagemakerOverall knowledge of the Software Development Life ...

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 ...

Infrastructure and DB: Postgres, Warehousing (if we did it), prefect, Kubernetes, SQLAlchemy, AWS Visualisation: Grafana, Superset, Marimo Forecasting + general DS: lightgbm, xgboost, numpy, scipy, scikit-learn Claude AI Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even ...

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 ...

outstanding product of the year award, and recognition for wellbeing. What we are looking for Strong experience using Python, including libraries such as NumPy, SciPy and Pandas Ability to maintain, improve and optimise an existing codebase for robustness and performance Experience working with an object-oriented language in a commercial ...

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 ...

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 ...

dashboard performance issues Act as a trusted advisor to client stakeholders on data analytics matters Python for data analysis and automation (pandas, numpy, scipy, etc.) Data Engineering Knowledge: Familiarity with ETL processes, data integration tools, and modern data platforms (e.g., Databricks) Communication: Excellent stakeholder management and presentation skills; fluent English ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

CeleryGood knowledge of RDBMS (Postgres) & NoSQL (Elasticsearch)Good understanding of RESTful APIsGood knowledge of software version control with gitYou will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will be joining ...

Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis JavaScript, HTML5 and CSS3, Nginx/Keycloak Edge computing, sensor systems or distributed ...

tools, data formats, and workflows commonly used in computational biology and chemistry. Strong hands-on experience with PyTorch and the scientific Python ecosystem (NumPy, SciPy, Pandas, etc.). Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality, reproducibility, and testing. Nice to have: Experience ...

product and commercial outcomes. Advanced SQL — comfortable writing performant queries against large, complex datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression, causal inference ...