22 of 22 Matplotlib Jobs in England

datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (eg, Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (eg, Hadoop, Spark) and cloud platforms ...

Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets ...

Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets ...

Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets ...

through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud). You have a deep understanding of data models, relational ...

applied data science. Proven experience leading analytics or data science projects from conception to delivery. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation. Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value. Track record of working in agile, cross ...

from conception to delivery. Experience with customer focused Data Science techniques - especially around personalisation and recommenders. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation. Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value. Track record of working in agile ...

correlation analysis using Python. Experience with supervised/unsupervised learning and model interpretability (e.g., SHAP, LIME). Skilled in creating clear visualizations with Matplotlib or Seaborn. Expertise in metrics like AUC-ROC, precision, recall, and cross-validation techniques. Experience deploying predictive models in clinical settings or EHR systems. Desirables: Familiarity ...

correlation analysis using Python. Experience with supervised/unsupervised learning and model interpretability (e.g., SHAP, LIME). Skilled in creating clear visualizations with Matplotlib or Seaborn. Expertise in metrics like AUC-ROC, precision, recall, and cross-validation techniques. Experience deploying predictive models in clinical settings or EHR systems. Desirables: Familiarity ...

correlation analysis using Python. Experience with supervised/unsupervised learning and model interpretability (e.g., SHAP, LIME). Skilled in creating clear visualizations with Matplotlib or Seaborn. Expertise in metrics like AUC-ROC, precision, recall, and cross-validation techniques. Experience deploying predictive models in clinical settings or EHR systems. Desirables: Familiarity ...

correlation analysis using Python. Experience with supervised/unsupervised learning and model interpretability (e.g., SHAP, LIME). Skilled in creating clear visualizations with Matplotlib or Seaborn. Expertise in metrics like AUC-ROC, precision, recall, and cross-validation techniques. Experience deploying predictive models in clinical settings or EHR systems. Desirables: Familiarity ...

correlation analysis using Python. Experience with supervised/unsupervised learning and model interpretability (e.g., SHAP, LIME). Skilled in creating clear visualizations with Matplotlib or Seaborn. Expertise in metrics like AUC-ROC, precision, recall, and cross-validation techniques. Experience deploying predictive models in clinical settings or EHR systems. Desirables: Familiarity ...

tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. Waterfall. ...

tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. Waterfall. ...

Horse Racing. Requirements: ● Strong interest and knowledge in a variety of sports, in particular tennis. ● Experience with the PyData stack (pandas, numpy, scikit-learn, matplotlib etc.). ● Knowledge of machine learning and statistical models, e.g. linear/logistic regression, decision trees, random forest, unsupervised methods etc. ● Basic knowledge of relational ...

over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR ...

over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR ...

Experience deploying or validating predictive models in clinical or regulated healthcare environments Ability to create clear and meaningful data visualisations using tools such as Matplotlib or Seaborn Desirable Skills and Experience Familiarity with healthcare regulatory and compliance frameworks Experience with deep learning, reinforcement learning, or federated learning approaches Experience with ...

Experience deploying or validating predictive models in clinical or regulated healthcare environments Ability to create clear and meaningful data visualisations using tools such as Matplotlib or Seaborn Desirable Skills and Experience Familiarity with healthcare regulatory and compliance frameworks Experience with deep learning, reinforcement learning, or federated learning approaches Experience with ...

applied ML) : pandas, numpy, Jupyter, strong scripting and reusable code ML frameworks : PyTorch and or TensorFlow (plus scikit-learn) Data exploration & quality : EDA, visualisation (matplotlib/plotly), dataset profiling, class balance, outliers Labelling workflows : hands-on annotation and ontology work, label QA (inter-annotator agreement), confidence scoring, audit trail mindset ...

documentation, debugging and profiling. UI and visualisation experience using Qt, React, Electron or PyQt, plus fast rendering/visualisation libraries (OpenGL, DirectX, Plotly, matplotlib etc.). Exposure to tomography, inverse problems, multi-modal sensing or specialist instrumentation is beneficial. Apply directly or send a CV to imogen@waverecruitment.co.uk ...

deploy AI solutions in production environments. Ensure scalability, security, and compliance of AI systems. Required Skills: Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression … OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002 Libraries & Tools numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents ...