201 to 225 of 260 Pandas Jobs in the UK

Experience designing or contributing to evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas/polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner effectively ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

research environment. Experience with web scraping or web-archive research (e.g., httpx, BeautifulSoup, the Wayback Machine). Experience with data-analysis tooling such as pandas, Polars, or SQL-based analytics (e.g., BigQuery). Familiarity with Git and modern development workflows (branches, pull requests, code review). Training and Development Patlexa ...

Mathematics or Computer Science 3–5 Years of experience with Python, including writing and managing code releases Familiarity with numerical Python libraries such as Pandas and Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation of best practices Nice to have: experience with SQL databases ...

stack developer you will have some demonstrable experience in front-end technologies (HTML5, CSS3, Javascript/AngularJS)You will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will be joining ...

years plus of commercial Python and Django development experience Django Rest Framework PostgreSQL Celery Ideally APi DevelopmentYou will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will be joining a progressive ...

experience building and deploying machine learning models into production environments where accuracy and reliability are critical. Advanced Python skills, including hands-on experience with pandas and scikit-learn. Strong statistical reasoning and a structured approach to model evaluation and validation. Ability to clearly explain model performance, evaluation methodology, and known ...

Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front-office quant experience in pricing, risk ...

with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial but not essential)* Interested ...

understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi‐threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical information ...

planning and property sector (planning applications, local plans, allocations, SHLAA/HELAA, Land Registry data). Scripting for data work - Python (pandas, geopandas) or similar. Experience building or maintaining data pipelines/ETL processes. Familiarity with data licensing considerations (e.g. OS, Land Registry, public sector data). Company Behaviours: • Take ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

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 ...

Computer Science, Engineering, or a related field (or equivalent practical experience)Excellent knowledge of Python language and statistical libraries like Numpy, Pandas, PolarsDemonstrable experience in Python in a production environment Strong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically distributed environmentExcellent communication ...

Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and elevate issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front‐office quant experience in pricing, risk ...

developing machine learning models in a cloud environmentProficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)Nice to haves: Strong knowledge of software engineering best practicesHave built applications taking advantage of Generative AI in real, production use casesFamiliarity with state of the art LLMs ...

Data Platform StackWe 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 analysisdbt and Databricks data platform with Delta LakeLightdash as our BI tool and semantic layerStreamlit for interactive data applicationsAirflow ...

inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‐making under pressure. Travel to customer sites ...

speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as NumPy, Scikit-learn, Pandas, and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse using Snowflake … Snowflake. Comfortable implementing custom (in-house) data solutions where off-the-shelf products are unavailable or unsuitable. Bonus: Advanced LookML knowledge. Experience using Pandas (TensorFlow, Scikit-learn, Matplotlib). DevOps practices Docker and Kubernetes. Understanding of data science concepts. Professional experience or a degree in a quantitative field, such ...

will mentor junior colleagues, define data science approaches, and ensure delivery rigour while building deep client relationships. You should be fluent in Python (NumPy, Pandas) and PyTorch, with strong leadership, project planning, and commercial awareness to translate complex problems into rigorous mathematical solutions. #J-18808-Ljbffr ...

commercial development experience any language Golang experience, doesn't have to be commercial PostgreSQL Celery Ideally APi DevelopmentYou will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will be joining ...