101 to 125 of 182 Pandas Jobs in the South East

interest in data science and motorsport, we would love to hear from you! We are looking for individuals who: · Have experience with Python and its data science ecosystem (e.g., pandas, numpy, scikit-learn). · Are familiar with machine learning concepts and techniques (e.g., regression, classification, neural networks). · Have a proactive attitude and a willingness to learn in a fast More ❯

technical insights to non-technical audiences Right to work in the UK Strong academic background (GCSEs, A-Levels or equivalent) Desirable (but not essential) Experience with Python libraries like Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools More ❯

Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex More ❯

Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex More ❯

Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex 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 ❯

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 ❯

to join this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for More ❯

to join this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for More ❯

to join this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for 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 ❯

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 ❯

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 ❯

be successful in this role, you will need: 6+ years’ experience in Data Operations, Data Engineering, or similar, ideally with a Data Provider or Trading firm 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 (Preferred) Strong experience working with Market More ❯

be successful in this role, you will need: 6+ years’ experience in Data Operations, Data Engineering, or similar, ideally with a Data Provider or Trading firm 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 (Preferred) Strong experience working with Market 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 ❯

be successful in this role, you will need: 6+ years’ experience in Data Operations, Data Engineering, or similar, ideally with a Data Provider or Trading firm 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 (Preferred) Strong experience working with Market 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 ❯

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 ❯

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 ❯

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 ❯