126 to 150 of 224 Pandas Jobs in England

grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD More ❯

grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD More ❯

and implementing complex system integrations Experience with Python and .NET Experience in implementing data solutions adhering to regulatory requirements and security measures Experience with Python with libraries such as Pandas In-depth knowledge of various database system technologies (relational, document, columnar, etc.) Understanding and experience with relational databases and implementation of OLTP and OLAP systems Professional experience in data modeling More ❯

Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive to details More ❯

not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as More ❯

not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as More ❯

skills required: 3+ years working as a Data Analyst, ideally within FinTech or Financial Services Exposure to Derivatives or other Financial instruments Strong SQL experience Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.) Airflow/Algo for workflow management Git Any exposure to compressed file formats such as Parquet or HDF5 highly advantageous Linux/Bash skills highly desirable Please More ❯

skills required: 3+ years working as a Data Analyst, ideally within FinTech or Financial Services Exposure to Derivatives or other Financial instruments Strong SQL experience Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.) Airflow/Algo for workflow management Git Any exposure to compressed file formats such as Parquet or HDF5 highly advantageous Linux/Bash skills highly desirable Please More ❯

years’ experience in Data Operations, Data Engineering, or similar, within a Trading/Investment firm, or a firm providing services to Trading or Investment firms (Essential) Excellent Python skills (Pandas, NumPy), SQL Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing and maintenance of data pipelines If you feel your experience is More ❯

years’ experience in Data Operations, Data Engineering, or similar, within a Trading/Investment firm, or a firm providing services to Trading or Investment firms (Essential) Excellent Python skills (Pandas, NumPy), SQL Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing and maintenance of data pipelines If you feel your experience is More ❯

fast-paced and data-rich environment. You’ll need: 2–5+ years’ experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with More ❯

fast-paced and data-rich environment. You’ll need: 2–5+ years’ experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with More ❯

from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from training to deployment. Collaborate with an ambitious, research More ❯

from a strong software development background, building software to support their core development team. You will need to have strong experience with Python, with knowledge of PnL, NumPy/Pandas being a huge plus. They have a lovely office based by Buckingham Palace with circa 200 employees. This is a $15bn+ AUM Hedge Fund with a strong track record for More ❯

from a strong software development background, building software to support their core development team. You will need to have strong experience with Python, with knowledge of PnL, NumPy/Pandas being a huge plus. They have a lovely office based by Buckingham Palace with circa 200 employees. This is a $15bn+ AUM Hedge Fund with a strong track record for More ❯

with active SC will be prioritised) Within this role, you will be responsible for: * Cleaning and processing tabular data (Excel, CSV, databases) * Building data transformation pipelines using Python and pandas * Writing SQL queries to extract and manipulate relational data * Implementing data validation and quality assurance processes * Working with JSON, XML, and CSV formats * Supporting metadata cataloging and reference data management More ❯

world leading Energy Trading company. The role would be part of a long term Strategic IT project, with ongoing contract extensions. Core Technical Skills Programming: Python Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs More ❯

world leading Energy Trading company. The role would be part of a long term Strategic IT project, with ongoing contract extensions. Core Technical Skills Programming: Python Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs More ❯

part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based More ❯

part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based More ❯

tool usable, explainable, and business-ready. Handle both model optimisation and dash app refinement , focusing on interpretability and usability. Tech environment: Python | CLIP | Phi | SHAP | Computer Vision | NLP | Dash | Pandas | NumPy Ideal profile: Proven experience in data science/ML , with practical exposure to computer vision and explainable AI . Strong coding in Python , with experience building models end-to More ❯

equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers, attention mechanisms) Strong foundation in probabilistic models (HMMs, Bayesian inference, graphical models) Track record of delivering impactful research or More ❯

equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers, attention mechanisms) Strong foundation in probabilistic models (HMMs, Bayesian inference, graphical models) Track record of delivering impactful research or More ❯

development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft More ❯

development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft More ❯