51 to 75 of 109 NumPy Jobs in England

Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL (joins, aggregations, CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work More ❯

PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to More ❯

and tools: CI/CD, version control (git), testing frameworks, MLOps Comfortable working with Docker and containerised applications Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Experience using AWS or similar cloud computing platform Great communicator - convey complex ideas and solutions in clear, precise and accessible ways Team player who cares about accelerating not More ❯

experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able to gain and maintain the More ❯

similar role. Strong programming skills and a good understanding of software engineering principles and clean code practices. Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy). Advanced experience with SQL for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine learning libraries like scikit-learn, PyTorch More ❯

in data science roles Creative problem-solving and solution scoping Strong grasp of mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control management Ability to work efficiently without compromising quality Effective communication and data storytelling More ❯

or self-initiated projects You've got practical Python skills - maybe from significant coursework, personal projects, or internships - and you're comfortable exploring data using libraries like pandas or numpy You've had hands-on experience with structured or semi-structured data, including tasks like designing schemas, cleaning messy datasets, or validating results - perhaps through coursework, Kaggle competitions, or personal More ❯

delivering data science or data engineering solutions into production. You're comfortable writing production-grade code, not just notebooks. Strong Python and SQL skills, including the basic libraries (Pandas, Numpy, ScikitLearn). You value writing clean, maintainable, and tested code. Proven ability to design, build, and maintain data pipelines and tools from scratch that are reliable, maintainable, and scalable. Strong More ❯

to credit risk management. • 2+ years of experience as a quantitative researcher or data scientist. • Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. • Strong statistical and modeling skills. • Strong communication and collaboration skills. • Experience in the energy industry is a plus. Competitive salary and a stock options sign-on bonus Biannual More ❯

credit risk management. Requirements • 2+ years of experience as a quantitative researcher or data scientist. • Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. • Strong statistical and modeling skills. • Strong communication and collaboration skills. • Experience in the energy industry is a plus. Competitive salary and a stock options sign-on bonus Fully More ❯

runtime Understanding for the nuance of running on ARM32 architecture GitHub for pull requests, actions and readme markdown Experienced in signal processing and analysis; preferably using tools such as NumPy, Matlab or Octave SC Clearance or Defence Experience To apply for this role and for more information, please send your updated CV to Jacob Rufus at . More ❯

runtime Understanding for the nuance of running on ARM32 architecture GitHub for pull requests, actions and readme markdown Experienced in signal processing and analysis; preferably using tools such as NumPy, Matlab or Octave SC Clearance or Defence Experience To apply for this role and for more information, please send your updated CV to Jacob Rufus at . More ❯

pro and have a secret love for 'ARIMA models.' Qualifications: A strong background in mathematics, statistics, or a related field Proficiency in Python, with experience using libraries such as NumPy, Pandas, and Scikit-Learn Familiarity with high-frequency trading strategies and market microstructure The ability to stare at screens for extended periods of time without going blind A passion for More ❯

again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication skills and a More ❯

pick up new skills quickly and to be able to work in a fast-moving, demanding environment. What you will be working with: Python, Jira, Selenium (Web Driver), Geist, NumPy, SQL, HTML, CSS, XML alongside helping to implement continuous delivery. More ❯

C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯

related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required including cleaning and managing data. Experience in data visualisation and communication. Experience with working with raw datasets and perform data wrangling pre More ❯

statistics Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Strong SQL for data analysis and manipulation Strong problem-solving and analytical skills, with high attention to detail Ability to think strategically and More ❯

learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material contributions to the CV/ML/AI field as related to More ❯

quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all More ❯

learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all More ❯

quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all More ❯

a business analyst or data analyst in a dynamic, fast-paced environment; retail focus preferred You have experience extracting data from databases using SQL and analysing data using Python (NumPy, Pandas, etc.) You have a bachelor degree in a quantitative subject You are capable of acting as a trusted advisor when presenting data and insights to key stakeholders in multiple More ❯