10 of 10 Matplotlib Jobs in the Thames Valley

and industry trends. Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of data visualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes). Past experiences working in Fintech, Financial More ❯

of statistical concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. More ❯

development experience in Python or another object-oriented programming language. Strong proficiency in Python’s data ecosystem, including libraries such as NumPy , Pandas , and Matplotlib . Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools. Solid understanding of relational databases and SQL. Proven track record building robust More ❯

5+ years working in Python or another object-oriented environment. Strong familiarity with tools and libraries for data processing and visualization (e.g., NumPy, Pandas, Matplotlib). Comfortable deploying applications in cloud ecosystems, particularly AWS, and using infrastructure automation tools. Experienced with building data workflows and managing databases; Airflow and SQL More ❯

and organizational skills. Preferred (Not Mandatory): Exposure to data visualization tools like Tableau, Power BI, or Looker. Experience with Python for data analysis (Pandas, Matplotlib, etc.). Academic or personal projects involving data analytics or reporting. Knowledge of statistical concepts or business KPIs. Who Can Apply: Students or recent graduates More ❯

and organizational skills. Preferred (Not Mandatory): Exposure to data visualization tools like Tableau, Power BI, or Looker. Experience with Python for data analysis (Pandas, Matplotlib, etc.). Academic or personal projects involving data analytics or reporting. Knowledge of statistical concepts or business KPIs. Who Can Apply: Students or recent graduates More ❯

and organizational skills. Preferred (Not Mandatory): Exposure to data visualization tools like Tableau, Power BI, or Looker. Experience with Python for data analysis (Pandas, Matplotlib, etc.). Academic or personal projects involving data analytics or reporting. Knowledge of statistical concepts or business KPIs. Who Can Apply: Students or recent graduates More ❯

and organizational skills. Preferred (Not Mandatory): Exposure to data visualization tools like Tableau, Power BI, or Looker. Experience with Python for data analysis (Pandas, Matplotlib, etc.). Academic or personal projects involving data analytics or reporting. Knowledge of statistical concepts or business KPIs. Who Can Apply: Students or recent graduates More ❯

and organizational skills. Preferred (Not Mandatory): Exposure to data visualization tools like Tableau, Power BI, or Looker. Experience with Python for data analysis (Pandas, Matplotlib, etc.). Academic or personal projects involving data analytics or reporting. Knowledge of statistical concepts or business KPIs. Who Can Apply: Students or recent graduates More ❯

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 … 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 More ❯