18 of 18 Polars Jobs in the UK

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 ...

development of large scale, high impact machine learning solutions from initial experimentation through to deployment. Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn. Knowledge of MLOps tooling such as Weights & Biases, AirFlow, AWS SageMaker or Docker. Experience working with cloud platforms such as AWS, Azure ...

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 ...

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 ...

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 ...

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 ...

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 ...

architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time in a high-growth startup. Why this role: You won't be maintaining someone else ...

architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time in a high-growth startup. Why this role: You won't be maintaining someone else ...

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. ...

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 ...

Snowpipe, Snowpark, Distributed UDF/Sproc, Time Travel, Cloning) Demonstratable experience of delivering end to end pipelines in Snowpark (transferable frameworks such as Pyspark, Polars or Dask are also welcome). DBT including Jinja templating or equivalent transformation frameworks Python including build tools, test automation frameworks and engineering best practices ...

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 trains ...

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 ...

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 ...

/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 ...

Line and drive it through the analysis loop, regenerating a concept from a defined parameter set. Produce the core conceptual outputs each iteration: drag polars, lift curves, weight breakdowns, mission energy/endurance, static margin, trim and control authority. Run trade studies and design-space exploration to make optimisation … design tools such as OpenVSP, RCAIDE, AVL, XFLR5, Datcom or equivalent in-house tools. Sound applied aerodynamics knowledge, drag build-up, lift curves, drag polars and the ability to generate and interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate ...