76 to 100 of 110 Matplotlib Jobs

Python, R, and SQL.Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Expertise in data manipulation, analysis, and visualization tools (e.g., Pandas, Matplotlib, Tableau).Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing (e.g., Spark).Solid understanding of statistical analysis and hypothesis testing methods.Strong communication skills ...

looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer ...

modern Deep Learning algorithms (e.g. BERT, LSTM, etc.). Strong knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit‐Learn, Matplotlib). Strong software development skills (Python is the preferred language). Strong management and leadership skills – previous experience managing a team. Strong influencing, communication ...

modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) < Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous ...

modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills previous ...

modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills – previous ...

experience in data analytics in a consumer-facing business 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 Why else you'll love it here Wondering what the salary ...

PySpark Strong analytical and SQL skills for handling, querying, and interpreting complex datasets Ability to communicate insights effectively through visualisations using tools such as Matplotlib, Plotly, or similar Nice to Have Exposure to model interpretability techniques such as SHAP and LIME Previous experience within the Banking/Financial Services sector ...

PySpark Strong analytical and SQL skills for handling, querying, and interpreting complex datasets Ability to communicate insights effectively through visualisations using tools such as Matplotlib, Plotly, or similar Nice to Have Exposure to model interpretability techniques such as SHAP and LIME Previous experience within the Banking/Financial Services sector ...

quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code. Proven experience working with geospatial data, including ...

techniques for yield prediction and optimisationContribute to technical reports, planning submissions, and investor materialsWhat We’re Looking ForStrong Python skills (pandas, NumPy, scikit-learn, matplotlib)Experience with SQL and relational databasesExposure to geospatial tools (QGIS, GeoPandas, or similar)Solid understanding of statistics and machine learning fundamentalsInterest in renewable energy, power ...

Statistical Computing; SQL for Data Extraction and Transformation; Automation; Data Analysis; Microsoft Excel, PowerPoint, and Word; Data Cleaning and Preprocessing Techniques; Data Visualization (Matplotlib, Seaborn, and Plotly); Optimization under Uncertainty; Numerical Methods (root finding, interpolation, and numerical integration); Linear Algebra. Experience may be gained during or through the course ...

commercial problems Strong understanding of statistical analysis, machine learning techniques, and optimisation algorithms Experience with data visualisation tools such as Qlik, Power BI, or Matplotlib for presenting insights and findings is preferable Experience working with Microsoft Fabric, with an understanding of modern data platforms, lakehouse architectures, data engineering, analytics ...

Kubernetes for scalable production systemsFamiliarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker ...

professional setting (e.g., internship) is a plusAbility to write clean, maintainable, scalable, and robust code in PythonFamiliarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP)Basic understanding or exposure to containerization technologies such as Docker and Kubernetes would ...

e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human‐in‐the‐loop evaluation or annotation workflows Publications or demonstrated applied research ...

e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human‐in‐the‐loop evaluation or annotation workflows Publications or demonstrated applied research ...

computer science degree, or personal projects Python proficiency Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools A passion for connecting with real users and enabling them to be power users of the product Good organization ...

computer science degree, or personal projects Python proficiency Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools A passion for connecting with real users and enabling them to be power users of the product Good organization ...

warehouse, data pipelines, analytics & business intelligence Power BI calculation groups, bookmarks, semantic model incremental refresh Tabular Editor Excel dynamic array functions Python, Pandas, NumPy, Matplotlib Sage 200 Linnworks Peoplevox Google Analytics (GA4) Working arrangements: 5 days a week, onsite, Salford, Manchester. They are looking for an experienced Data Analyst ...

roles Proficiency in SQL and Python for large-scale data analysis Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn) Experience working with Databricks or similar large-scale data platforms Excellent understanding of experimentation design, A/B testing, and statistical analysis Experience defining ...

analytics rolesProficiency in SQL and Python for large-scale data analysisAdvanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)Experience working with Databricks or similar large-scale data platformsExcellent understanding of experimentation design, A/B testing, and statistical analysisExperience defining and analyzing search ...

standards (e.g., MeSH, UMLS, ORCID, CrossRef)Exposure to production ML systems and MLOps practicesFamiliarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectivelyExperience with human-in-the-loop evaluation or annotation workflowsPublications or demonstrated applied research in IR, NLP, or generative ...

reporting for leadership What we're looking for: Strong SQL - confident working with complex, messy, real-world data Proficient in Python (pandas, plotly/matplotlib etc.) Experience with a BI/dashboarding tool (Metabase, Looker, Tableau or similar) Experience with product analytics platforms (Amplitude, Mixpanel or similar) Comfortable working directly ...

/or options pricing or financial services • Knowledge of extreme statistics • Proficiency in Python and associated Data Science libraries and tools (pandas, numpy, seaborn, matplotlib, scipy) My client is based in the City of London but this is a Remote Role. ...