51 to 75 of 107 Matplotlib Jobs in the UK

similar. Technical knowledge of relevant ML performance metrics and how to apply them to monitor models. Strong knowledge of Python (such as numpy, pandas, matplotlib, streamlit, and opencv). Strong knowledge of modern programming paradigms (OOP, functional programming etc). Ability to write clean, robust, readable, error handling and error More ❯

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 markdown, json More ❯

real world commercial problems Experience bringing live services using machine learning and python to production. Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learn, tensorflow, etc ) knowledge in other programming languages is valuable, but this is primarily a Python shop. Experience with things like CI/CD More ❯

real world commercial problems Experience bringing live services using machine learning and python to production. Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learn, tensorflow, etc ) knowledge in other programming languages is valuable, but this is primarily a Python shop. Experience with things like CI/CD More ❯

practice in machine learning, with a focus on NLP especially in sequence labelling tasks based on LLMs Experience of using open-source libraries e.g. Matplotlib, Plotly, Python resources for data analysis and representation Experience of handling large and complex data Knowledge of project management, automation, and process optimisation Strong collaboration More ❯

English (written and spoken) for non-English native speakers. Programming Skills: Proficient in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and others relevant to data science and analytics. Data Science Expertise: Background in predictive modeling, machine learning, and statistical analysis. API Integration: Experience in working More ❯

Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels. NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (as applicable). Visualization tools: Plotly, Seaborn, Matplotlib, Dash, Streamlit. Preferred Qualifications: Fluency in French or German is a strong advantage for future client engagements. Additional Information: Our team is based in the More ❯

analytical skills with the ability to interpret complex datasets and extract actionable insights. Experience with data visualisation tools such as Tableau, Power BI, or matplotlib/seaborn. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy More ❯

R. Knowledge of AI, APIs, RPA, and emerging technologies. Understanding of Machine Learning principles, especially NLP and LLMs. Experience with open-source libraries like Matplotlib, Plotly, Python for data analysis. Experience handling large, complex data sets. Knowledge of project management, automation, and process optimization. Strong communication and stakeholder engagement skills. More ❯

Technology, Finance, Collections, Ops and other stakeholders What You'll Need Excellent SQL skills Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool (Tableau More ❯

understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel proficiency More ❯

and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated More ❯

and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R. Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib). Ability to talk the language of statistics, finance, and economics a plus. Profound knowledge of the English language. In a changing world, diversity and More ❯

Collections, Operations, and other stakeholders What you'll need Excellent SQL skills Proficiency with Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) A passion for solving problems using data Management experience Bonus skills Familiarity with Git Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent More ❯

need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. 2-5 years More ❯

need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. 2-5 years More ❯

SQL skills. A drive to solve problems using data. What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc). Familiarity with Git. Data visualization tool (Tableau, Looker, PowerBI or equivalent). DBT. 2-5 years experience of consumer credit risk or collections More ❯

Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool (Tableau More ❯

work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯

work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯

Options -> Python Scripting Now, under the option Detected Python Home Directories give the folder location where your Python is installed Install Pandas, Numpy and Matplotlib library using command prompt Note – To integrate the model into Power BI, first we need to get the same dataset columns which was passed to More ❯

and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics More ❯

and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics More ❯

teams across different geographies Advantageous/Useful skills – Programming and Data processing Spotfire, Tableau, Qlik, IBM Cognos, MicroStrategy, Alteryx, R Shiny, Google Charts, SSRS, Matplotlib, Seaborn, Plotly, Extensive Excel visualisation experience combined with expert SQL (we could potentially consider someone with extensive experience with both Excel visualisations and SQL, as More ❯

strong foundation in data structures, algorithms, data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is a plus. Experience of delivering AI and ML- based products into production environments More ❯