22 of 22 Matplotlib Jobs in London

techniques for text analysis, classification, and information extraction Knowledge of deep learning frameworks such as PyTorch or TensorFlow Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar) Knowledge of MLOps practices and tools for experiment tracking Strong analytical mindset with a focus on solving real-world problems Excellent communication ...

techniques for text analysis, classification, and information extraction Knowledge of deep learning frameworks such as PyTorch or TensorFlow Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar) Knowledge of MLOps practices and tools for experiment tracking Strong analytical mindset with a focus on solving real-world problems Excellent communication ...

B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics foundation – distributions ...

B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics foundation – distributions ...

week, 1–1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions ...

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 ...

analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills & Qualifications ...

frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering ...

frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering ...

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 ...

frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering ...

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 ...

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 ...

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: Naïve 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 ...

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: Naïve 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 ...

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 ...

skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms Benefits: Working alongside other extremely talented and driven engineers Extremely ...

skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms Benefits: Working alongside other extremely talented and driven engineers Extremely ...