14 of 14 Remote/Hybrid Pandas Jobs in London

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

must be current and transferable Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ...

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability. Fluent in python and the python data ecosystem (e.g. pandas). Experience building large and complex data pipelines in regulated or high-integrity environments. Solid fundamentals in data modelling, SQL and database design. Ability ...

Science, Computer Science, Engineering, Mathematics, Physics, Chemistry, or a related discipline. Strong practical Python skills and experience with common data science libraries such as pandas, numpy, scipy, statsmodels, or scikit-learn. The ability to turn data into clear, actionable insights for both technical and non-technical audiences. Experience working with ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

Bring: • Proven experience as a data scientist in complex or public‐sector environments • Strong proficiency in Python and common data science libraries (Pandas, NumPy, Sci‐Kit Learn, etc.) • Experience with data visualisation tools and techniques • Ability to communicate complex concepts clearly and effectively • Experience supporting or mentoring junior colleagues • Full ...

Power BI using SQL-based data. Requirements: Excellent communication skills, with strong stakeholder management and requirements gathering experience Solid experience with SQL, Python (Pandas), and Power BI Strong data warehousing and cloud experience preferred, alongside data modelling knowledge and OLTP/OLAP experience Experience coordinating UAT and strong analytical capability ...

working closely with Product and Engineering leadership to deliver scalable, secure, production-grade systems in a fast-moving business. Stack: Python, FastAPI, Pydantic, PyTest, Pandas, MySQL, PostgreSQL, Redis, Kubernetes, Docker What do you need? Strong commercial Python backend engineering experience Prior technical leadership experinece Experience operating within scaling/startup ...