13 of 13 Permanent Matplotlib Jobs in England

such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

AI algorithms and explore practical applications of AI. Overview of AI and Machine Learning Types of machine learning (supervised, unsupervised, reinforcement) Introduction to Python Libraries for AI - NumPy, Pandas, Matplotlib Scikit-learn for machine learning Building AI Models Data preprocessing Training and evaluating models Advanced Programming for AI Integration This programme aims to equip participants with the knowledge and practical More ❯

is in a microscopy or spectroscopy area. Data Analysis and Visualization : Some experience processing and visualizing spectroscopy or similar scientific data. Familiarity with data analysis libraries (e.g., NumPy, Pandas, Matplotlib). Soft Skills : Strong problem-solving skills and attention to detail. Ability to work in a multidisciplinary team and adapt to dynamic requirements. Regulatory Knowledge : Understanding of IEC 62304, ISO More ❯

is in a microscopy or spectroscopy area. Data Analysis and Visualization : Some experience processing and visualizing spectroscopy or similar scientific data. Familiarity with data analysis libraries (e.g., NumPy, Pandas, Matplotlib). Soft Skills : Strong problem-solving skills and attention to detail. Ability to work in a multidisciplinary team and adapt to dynamic requirements. Regulatory Knowledge : Understanding of IEC 62304, ISO More ❯

Experience with issue and fault management systems. Knowledge and experience of how to integrate with and build OpenAPI/gRPC based systems. Experience building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux More ❯

Experience with issue and fault management systems. Knowledge and experience of how to integrate with and build OpenAPI/gRPC based systems. Experience building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux More ❯

emphasis in mathematics, engineering, or computer science. Minimum of 5 years of experience in Python development, with a strong understanding of object-oriented programming principles. Experience with pandas, numpy, matplotlib, scipy, and web frameworks like Flask or FastAPI is a plus. Good understanding of relational databases such as Oracle and MS SQL Server. Previous experience in front-office roles or More ❯

and unstructured data using Microsoft Fabric and Azure Synapse Build and deploy scalable machine learning models to solve real-world challenges Create dashboards and data visualisations using Power BI, matplotlib, and Plotly Translate complex analytical findings into clear, actionable recommendations for both technical and non-technical stakeholders Collaborate with product managers, data engineers, and solution architects to align analytics with … of the specific job role and in line with legislation and government guidance. What Technical Skills You'll Bring: Python and R Microsoft Fabric, Azure Synapse, SQL Power BI, matplotlib, Plotly Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued Strong foundation in statistics, modelling, and data wrangling Scikit-learn, TensorFlow, PyTorch Soft Skills: Ability to More ❯