18 of 18 Permanent Polars Jobs

projects into production. You write production-grade code, not just notebooks.Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models on tabular data — classification or regression tasks where evaluation matters as much ...

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 ...

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. ...

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 ...

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 ...

Science, Mathematics, Physics, Engineering, or a related field.Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.Quantitative Skills: Solid understanding of quantitative finance and statistical methods.Trading Knowledge: Familiarity with the trading process and financial markets.System Design: Experience in designing ...

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 ...

ceph, mongodb & kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems.Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc.DevOps: version control, testing frameworks, release processes, build systems.Excellent communication, problem-solving, and analytical skills.Preferred ExperienceExtremely strong computer science or engineering background with ...

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•You’re curious to explore how AI can improve ...

advantageExperience and interest in leveraging AI for the efficient development of high-quality applicationsStrong data manipulation skills, ideally using SQL, Python (Pandas/Polars), or R (dplyr).Experience in reinsurance pricing.Familiarity with modern software development practices (e.g., Git, unit testing, AI).Qualifications/Experience/AptitudesUniversity degree in science, actuarial ...

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 ...

yield, private credit, distressed, and the data pain points those teams have.Fluent in how data and quant teams actually consume APIs today. Parquet, DuckDB, Polars, Snowflake shares, not just pandas in a Jupyter notebook. You can rip through a notebook live on a call.Exposure to MEDDPICC/MEDDICC.Nice to havePrior ...

with a deep understanding of open-source technologies used in these domainsExperience with modern ML frameworks and tooling, including PyTorch, JAX, Apache Arrow, Parquet, Polars, Ray and related training and inference toolingFamiliarity with GPU/accelerator workflows, CUDA-based software packaging and the practical realities of running ML workloads ...

Full TimeHybridLondon, UKPosted 3 weeks ago80,000 - 115,000 GBP/Year Lead Data EngineerLocation: London (Hybrid)Salary: 80,000-115,000Hexwired has partnered with an exciting AI start-up developing an intelligent automation platform ...