1 to 25 of 79 Pandas Jobs in London

skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines ...

grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural ...

team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement. Statistical Analysis & Quality Apply advanced, critical quantitative methods (Pandas, NumPy) to process raw data and derive actionable insights. Implement automated frameworks to ensure enterprise-grade data quality and continuous validation. Strategic Reporting Design high ...

Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with ...

data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ...

Python experience and knowledge, with the ability to write stable, scalable and maintainable code. Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM. Have worked with a cloud service, such as AWS. Familiarity developing Infrastructure as code (e.g Terraform, cloudformation). Have some experience ...

from concept through to production. Strong technical knowledge, including proficiency in Python and experience with core data science and ML libraries (e.g., scikit‐learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative ...

translate business problems into measurable analytical outcomes.* Experience taking models from development into production environments.### Technical Skills* Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn).* Machine learning techniques including classification, regression, clustering and anomaly detection.* Experience with Generative AI, LLMs, RAG architectures or agent-based AI solutions. ...

relevant years of experience: 8+ Detailed Job Description: JD: • 8+ years of experience in python scripting. • Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc. • Experience in building native python ETL pipelines for scraping/processing. • Good to have experience in processing big data. • Proficient ...

experience with data, including querying, aggregation, analysis, and visualization Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/Scipy/Scikit-learn). Strong SQL skills for data retrieval, basic analysis, and data cleansing. Strong knowledge and application of object-oriented design ...

oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect ...

workflows Build APIs and data pipelines to connect SEO tools, analytics platforms and internal dashboards Data Analysis & Reporting Develop automated reporting systems using Python, Pandas and visualisation libraries (e.g. Matplotlib, Plotly) Monitor SEO KPIs, identify trends and recommend data-driven actions Use AI to predict traffic trends and identify growth ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data: Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project: Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical ...

bachelor’s degree level or equivalent qualification/relevant work experience Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management) Excellent interpersonal skills with the ability to collaborate ...

while supporting the delivery of strategic business outcomes. Essential Skills Advanced Python Development – Expert knowledge of Python and modern data science libraries including NumPy, Pandas, scikit‐learn and PyTorch. Machine Learning & AI – Demonstrated experience designing, developing, deploying and monitoring production‐grade machine learning solutions. Software Engineering Best Practices – Experience building ...

Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring Understanding ...

Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit‐learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. ...

observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical ...

Financial services, capital markets or FinTech. Additional AWS services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science ...

quantitative discipline such as econometrics, statistics, mathematics, physics, or similar. Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy. Skills & Experience 3–5+ years of experience in data science, machine learning, econometrics, or a related technical field. Proven track record ...