151 to 175 of 183 NumPy Jobs in England

projects. Requirements Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). Strong Python skills, especially with libraries like Numpy, Pandas, and Polars. At least 5 years of Python development experience. Excellent problem-solving skills and ability to work well in a fast-paced, collaborative More ❯

Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to translate complex More ❯

applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a More ❯

/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a More ❯

Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job More ❯

pipelines. Requirements 2-5 years of experience in market risk, preferably within crypto, fintech, derivatives trading, or digital asset exchanges. Proficiency in Python (pandas, NumPy, matplotlib) for analytics and tool development. Experience with SQL and handling large structured/unstructured datasets. Familiarity with Git/GitHub and collaborative development workflows. More ❯

s or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.). Experience with SQL, Power BI, Git & GitHub. Strong knowledge of Machine Learning Algorithms and respective theory. Ability to work within More ❯

Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯

Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯

Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯

strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). More ❯

or an MS with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with More ❯

Strong mathematical/statistical background with demonstrable experience in developing deep learning algorithms for research Expert level technical programming skills, with emphasis on Python (NumPy, PyTorch etc) and preferably experience with R Experience of applying deep learning techniques to omics datasets Ability to read machine learning research articles and implement More ❯

such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a More ❯

data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading university More ❯

pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred) Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus) Familiarity with digital marketing, advertising or analytics is a plus Work experience in complex system engineering environments is a More ❯

in Python Ability to visualise data appropriately and in a concise manner utilising a range of technologies. Familiarity with data manipulation libraries (e.g., pandas, numpy) and machine learning libraries (e.g., scikit-learn). Knowledge of standard software development process, good coding practice and change control technologies (e.g., Git, Azure pipelines More ❯

excel in data analysis and visualization a meticulous coder with an eye for readability, with experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others). Able to use SQL syntax writing and workflows. You have good familiarity with file/data formats, such as More ❯

raw data into a unified and reliable asset. Projects natural confidence in communication and has strong stakeholder management skills. Has strong proficiency with Pandas, Numpy, PySpark or similar for Data Analysis & Cleaning Python Has some working knowledge of tools such as Beautiful Soup, Selenium and/or Scrapy Python Maintains More ❯

pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred) Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus) Familiarity with digital marketing, advertising or analytics is a plus Work experience in complex system engineering environments is a More ❯

Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud environments is not essential, but it would be beneficial. Ideal Characteristics Excellent analytical skills and attention to detail. Hard More ❯

interests. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data … Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a More ❯

Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and … Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Strong quantitative skills More ❯