10 of 10 Polars Jobs in London

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 ...

communicate future challenges, ensuring operational effectiveness. Skills and Experience Essential Full‐stack Python Software Developer skills, specialising in numerical processing using Pandas, Numpy, Polars, PySpark, Coroutines, async tasks and Unix. Building scalable applications, with intensive risk‐based processing. Package software for distribution (e.g. Docker, Poetry, python‐wheels, PyInstaller, Databricks bundles ...

data normalisation. Experience handling time-series challenges such as timestamp precision, sequence gaps, duplicate and out-of-order events. Experience with distributed processing (Spark, Polars, Dask, Ray or similar). Experience with Kafka or similar streaming technologies. Familiarity with PostgreSQL, ClickHouse, Snowflake, Databricks, kdb+ or similar. Docker, Linux ...

with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms ...

Frameworks & Infrastructure: Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch Databases: PostgreSQL MongoDB Vector databases such as Qdrant, Milvus, or pgvector Python Ecosystem: Pandas Polars Engineering Skills: Experience building highly scalable backend systems. Strong understanding of data modelling and storage architecture. Deep knowledge of data processing, optimisation, and performance tuning. ...

Looking For? The ideal candidate will have the following skills and experience: Strong SQL skills Strong Python skills for dataframe analytics using pandas or polars Confident use of AI coding assistants with sound judgment and validation Financial markets domain knowledge A collaborative approach to working with stakeholders An automation-first ...

background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy) Strong knowledge of AI/ML techniques with experience delivering related work into production Curious to explore how AI can improve how we build ...

partnering with engineers to improve pipelines and downstream usability. The role requires strong SQL and Python skills, experience with data analysis using pandas or polars, and a proactive, collaborative approach to #J-18808-Ljbffr ...

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 with ...

/or technical program manager. Data Engineering Proficiency : Expertise in SQL, Python, Pandas, Matlab, or R. Bonus if familiarity with Influx, Grafana, Spark, Polars, Arrow, Kafka, Beam, and Flink. [Bonus] In-Field Hardware Mastery : Proficiency with hardware engineering tools such as DAQs, DDS, Nix, RTOS, MCAP, H5, TDMS, LabVIEW, Simulink ...