1 to 25 of 45 Seaborn Jobs in England

Skilled in data wrangling, preprocessing, and managing large-scale datasets. Solid understanding of statistical modelling, predictive analytics, and time series analysis. Experience with data visualisation tools like Matplotlib, Seaborn, or Tableau. Salary: £525 per day #J-18808-Ljbffr More ❯

modeling. Experience with NLP 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). Strong analytical mindset with a focus on solving real-world problems. Excellent communication skills to present findings to technical and non-technical stakeholders. Fluent in More ❯

models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting schedule Impact & Exposure: Work at the leading edge of More ❯

expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/CD and automation tools. Experience using … expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/CD and automation tools. Experience using More ❯

expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/CD and automation tools. Experience using More ❯

about key areas/topics in AI research. Python for Data Analysis: Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn). Data Visualization/Dashboarding: Experience creating effective dashboards and visualizations using tools like Tableau, Looker, Google Data Studio, or similar. Analytics Engineering: Experience designing and implementing ELT workflows More ❯

have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools More ❯

Experience with version control (git) and testing. Strong foundation in statistics and probability. Knowledge of data science algorithms: classification, regression, clustering. Data visualization skills using libraries like matplotlib, seaborn, plotly. Data management skills: pandas, numpy, scipy. Experience with AWS cloud services (SageMaker, S3, EC2, EMR, Glue). Experience with LLM frameworks (LangChain, LangGraph) is a plus. What We More ❯

technologies. Languages & Libraries: Python, R, 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 UK, with staff More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have … fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is More ❯

fit for use cases. Effective technical communication skills to advocate solutions and explain them clearly to non-experts. Proficiency in Python, including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role More ❯

and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others o Autodesk or similar products (CAD, CAE, CAM, etc. · Familiarity with: o Data lake architectures and processing unstructured data at scale o Data provenance and More ❯

and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others o Autodesk or similar products (CAD, CAE, CAM, etc. · Familiarity with: o Data lake architectures and processing unstructured data at scale o Data provenance and More ❯

and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others o Autodesk or similar products (CAD, CAE, CAM, etc. · Familiarity with: o Data lake architectures and processing unstructured data at scale o Data provenance and More ❯

and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others o Autodesk or similar products (CAD, CAE, CAM, etc. · Familiarity with: o Data lake architectures and processing unstructured data at scale o Data provenance and More ❯

and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others o Autodesk or similar products (CAD, CAE, CAM, etc. · Familiarity with: o Data lake architectures and processing unstructured data at scale o Data provenance and More ❯

and object databases o Kubernetes o computational geometry such as mesh or boundary representation data processing o analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others o Autodesk or similar products (CAD, CAE, CAM, etc. · Familiarity with: o Data lake architectures and processing unstructured data at scale o Data provenance and More ❯

Vector databases Relational and object databases Kubernetes computational geometry such as mesh or boundary representation data processing analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others Autodesk or similar products (CAD, CAE, CAM, etc. Familiarity with: Data lake architectures and processing unstructured data at scale Data provenance and lineage concepts Computational More ❯

technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term journey through much complexity, change and ambiguity. A clear communicator who can share a compelling plan More ❯

testing frameworks Support the deployment and monitoring of applications in production environments Contribute to system architecture decisions and process improvements Data Visualization: Experience with libraries such as matplotlib, seaborn, plotly Cloud Infrastructure: Familiarity with Azure and cloud-based deployments Version Control: Proficient with GitHub Message Queuing: RabbitMQ or similar Data Processing: Experience working with data pipelines and processing More ❯

guide this 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 plus. Familiarity with statistical confidence testing. More ❯

guide this 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 plus. Familiarity with statistical confidence testing. More ❯

level Excel skills (PivotTables, formulas, charting, advanced data manipulation) Advanced SQL proficiency (joins, window functions, optimization) Strong hands-on Python abilities, especially with Pandas and data visualization (Matplotlib, Seaborn) Experience with BI or dashboarding tools (Power BI, Tableau, or similar) Critical thinking and strong data storytelling abilities Excellent communication and presentation skills Benefits 2-3 month contract with More ❯

Job Description We're looking for a Senior Credit Risk Manager About us Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics More ❯

relevant to the subject matter Strong command of querying and programming languages SQL, R and python - numpy, pandas, sklearn, TensorFlow & Keras), and visualization tools (Excel, Tableau, matplotlib/seaborn/plotly in python packages Experience applying various methods of numerical and categorical modelling techniques and supervised and unsupervised machine learning methods (OLS regression and GLMs, logistic regression, KNN More ❯