51 to 72 of 72 Pandas Jobs in the UK excluding London

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

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 ...

delivering applied machine-learning projects in production. Proven record of deploying and maintaining ML models through CI/CD pipelines Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL. Demonstrable experience with ML lifecycle tooling such as MLflow and Databricks. Strong understanding of testing, version control, containerisation, and monitoring. ...

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

observability CI/CD via AWS CodePipeline Grafana dashboards and CloudWatch alarms Product and analysis Databricks SQL, dashboards and notebooks for reporting Jupyter, numpy, pandas, plotly for investigation Cursor, Copilot, and a healthy amount of custom scripting How we work Small, highly collaborative team with high trust and high ownership ...

learn if you are already an expert in another language. Even better if you have experience with: Tools for data analytics such as Pandas or Spark. Mathematical modelling such as MATLAB, Mathematica or equivalent. Formal testing of software. EDA tools used for designing new microchips. We integrate with the industry ...

mindset. Curiosity and willingness to develop new technical skills. Desirable Criteria Relevant Master’s or PhD qualification. Experience using Python, particularly libraries such as Pandas and GeoPandas. Experience with scripting or automation within hydraulic modelling software. Experience of software engineering, data science or analytics within the wastewater sector. Familiarity with ...

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 ...

exploration, cleaning, analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow … exploration, cleaning, analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow ...

Data Strategy and Analytics (DSA) for the Internal Audit function. You will design and implement production-grade data pipelines and data products, using Python (Pandas, Polars, PySpark), SQL, and modern data-lake architectures to support third-line risks. You will collaborate with audit teams and data owners to source, transform ...

Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work closely with Researchers and accelerate their research. ...

within the rail , energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

within the rail , energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

Northampton is seeking a Core Python Developer to design, develop, and maintain Python scripts for data processing and transformation. You will work with Pandas and NumPy to analyze data, handle various file formats, and collaborate with analysts and engineers to meet project requirements. The role emphasizes building efficient algorithms, performing ...

Framework Core PostgreSQL, MySQL, or other relational database experience AWS or other cloud technologies Machine learning, optimisation, or algorithm development experience Experience with NumPy, Pandas, SciPy, or similar Python libraries Logistics, route planning, or operational research experience Package Up to £60,000 base salary Up to 10% bonus Hybrid working ...

caching, etc.) Proficiency with profiling tools (NVIDIA Nsight, PyTorch Profiler) and monitoring stacks (Prometheus, Grafana) Capability to work in Python for data analysis (Pandas, NumPy) and scripting The following are also highly valued: Post-graduate degrees and research experience in relevant fields (please list your publications). Deep understanding ...

CUDA or similar Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana) Strong Python for data work, Pandas and NumPy, genuine scripting ability Nice to have: exposure to inference serving frameworks like vLLM, published research, or open source contributions in this space. ...

photonics or similarly technical laboratory environment Experience analysing real-world experimental data using Python Familiarity with scientific Python libraries such as NumPy, SciPy or pandas A practical understanding of experimental uncertainty, noisy data and measurement quality Strong fault-finding and troubleshooting skills The ability to work independently while collaborating effectively ...

modelling or environmental data analysis. Excellent analytical skills with the ability to interpret complex real-world datasets. Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). Experience communicating technical findings to both technical and non-technical audiences. Ability to work collaboratively across software, engineering and scientific teams. ...

Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design (Architecting, High-Level Design and Low-Level Design) Development ...

hierarchies, etc. Understanding of GPU/CPU architectures Experience debugging performance issues and correlating multiple models Understanding of data analysis tools such as: Tableau, pandas, Excel, matplotlib, etc. Experience working with cutting edge machine learning and/or graphics applications/games/benchmarks At Apple, base ...

build, test and support production-grade ETL/ELT pipelines that source, transform and curate data for Internal Audit. Develop maintainable Python solutions using Pandas, Polars and PySpark, selecting fit-for-purpose approaches based on scale, performance and operational needs. Write advanced SQL for data transformation, reconciliation, profiling and analysis … equivalent practical experience in computer science, engineering or a related quantitative discipline. A master’s degree is welcome. Hands-on proficiency in Python, including Pandas, Polars and PySpark, with experience writing testable and maintainable code. Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance. Strong ...