1 to 25 of 74 Permanent Matplotlib Jobs in London

business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate More ❯

BI dashboards and reports to support business decision-making. Collaborate with stakeholders to gather requirements and translate them into technical solutions. Perform basic data analysis using Python (e.g., pandas, matplotlib) when needed. Ensure data quality, governance, and documentation across all solutions. Provide training and support to end users on BI tools and data literacy. REQUIREMENTS Previous experience as a BI More ❯

and predictive 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 ❯

scikit-learn. 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 ❯

production-grade code in Python. Solid understanding and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL. Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations. Solid understanding of data structures, data modelling, and software architecture. Experience with cloud services (such as AWS) and tools for machine More ❯

probability, bayesian stats etc.) Good working knowledge of Python Implementing end-to-end ML pipelines Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised learning & matrix factorisation algorithms Natural Language Processing (NLP) and document processing Generative AI (open and closed source More ❯

s degree from a Russell 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 A passion for solving complex More ❯

knowledge of data science fundamentals (Machine Learning methods, Statistics). Fluent in common analytics tools (Python, Pandas, Numpy, ScikitLearn, SQL, etc.) Comfortable to use data visualization libraries (e.g. Seaborn, Matplotlib) Demonstrated initiative, judgment and discretion while handling sensitive information Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD - in a STEM subject and experience in More ❯

plus). 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 ❯

and learning 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 More ❯

and data science solutions for clients.+ Strong proficiency in programming languages such as Python, R, and SQL.+ In-depth experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, etc.).+ Solid understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).+ Strong expertise in the full data science lifecycle: data collection, preprocessing More ❯

communicate complex technical concepts clearly to non-technical stakeholders, effectively bridging the gap between technical and non-technical teams. Good command of analytical programming and visualization libraries (e.g., R, Matplotlib, ggplot) and supporting tools (e.g., Sagemaker, VS Code). Job Benefits 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year. Hybrid Working: We More ❯

series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept to deployment, including model evaluation and ongoing monitoring. Familiarity with cloud More ❯

statistics Experienced with containerisation (Docker, Kubernetes) Knowledge of cloud architecture, API design, security, deployment Hands-on with at least one major cloud platform Data visualization skills with Plotly and Matplotlib Creative problem solver with attention to detail Excellent communication skills Comfortable in a dynamic, high-growth environment Preferred Qualifications MS or Ph.D. in relevant fields Understanding of marketing ecosystem and More ❯

with a good understanding of best practices in software engineering and data engineering • Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, Pytorch • In-depth knowledge of statistical and machine learning models as well as experience with end-to-end delivery lifecycles • Experience in writing clean and maintainable code for More ❯

Requirements You 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. A big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI 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 several exciting … provided to 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 ❯

and model development. Experience in working with large-scale datasets and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power BI, or matplotlib Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis. Soft Skills Analytical mindset with a passion for uncovering actionable insights from complex datasets. Excellent communication and presentation skills More ❯

delivering cross-functional projects. Experience of embedding operation excellence culture within their teams. Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar Hybrid working applies to this role, with the expectation of 2-3 days per week onsite. #Hybrid #GSKOnyx #LI-GSK #GSKTech1 We create a place where people can More ❯

Staff and Team Lead, Onyx Application Engineering The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to More ❯

with a good understanding of best practices in software engineering and data engineering • Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn • In-depth knowledge of statistical and machine learning models • Experience in writing clean and maintainable code for collaborative working and using code versioning tools • Excellent communicator and experience More ❯

management tools 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 ❯

Job Description Join our team as a Data Science Associate, where you'll solve complex problems and develop tools and models to benefit internal and external clients. Collaborate with data science, product development, and technical teams to build and maintain More ❯

wellbeing allowance Unlimited leave What We’re Looking For:Must have Experience working with data and analytics Experience using Python to manipulate and visualise data - using packages like Pandas, Matplotlib, Seaborn Strong problem-solving, data analytical, and exploratory skills Comfortable working remotely Right to work in the UK Nice to have Experience working in tech, healthcare, or SaaS environments Experience More ❯

to File -> Options and Settings -> 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 our model. Here, records of More ❯