25 of 25 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 ...

Python for automation, parsing, rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with ...

Java 17+, Spring Boot & Co, JPA/Hibernate, SQL and NoSQL, Elasticsearch, Gradle, JUnit/AssertJ/MockK Metrics, analytics and AI: Python, FastAPI, Polars, LangChain Frontend: React (TanStack Query/React Router/react-hook-form + Zod), TypeScript, nx.dev, Tailwind CSS/shadcn/ui, Vitest/Playwright ...

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 Experience Extremely strong computer science ...

science or data engineering solutions. You’re comfortable writing production-grade code, not just notebooks. Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn). Experience building or maintaining data pipelines and tools that are reliable and maintainable. Clear communication skills: able to break down ...

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 ...

Warehouses, Streams/Tasks, Snowpipe, Snowpark, UDFs/Stored Procedures, Time Travel and Cloning. Snowpark and end-to-end pipeline development. Experience with PySpark, Polars or Dask is also valuable. Python, including testing, build tooling and engineering best practices. SQL, including Snowflake-optimised SQL. dbt, including Jinja templating, or equivalent ...

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 ...

years building real data infrastructure that other people depended on. Not coursework, not a notebook that ran once. Strong Python, strong Rust. Polars in particular — we don't reach for pandas here. Comfortable on AWS and on the command line. You can stand up your own infra and debug ...

fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices: code testing, documentation, packaging and deployment, version ...

tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces. Cloud & DevOps : Hands-on experience with ...

Technically Proficient: Strong software development skills in (Python and a compiled language). Experience and comfort working with data using libraries such as Pandas, Polars, or NumPy. You will have exceptional quantitative, logical reasoning, and analytical skills. Problem Solver: When it comes to solving problems, you use clear and sound ...

Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including CI/ ...

Technically Proficient: Strong software development skills in (Python and a compiled language). Experience and comfort working with data using libraries such as Pandas, Polars, or NumPy. You will have exceptional quantitative, logical reasoning, and analytical skills. Problem Solver: When it comes to solving problems, you use clear and sound ...

equivalent experience in computer science, engineering, mathematics, physics, or another quantitative discipline. Experience with scientific and data tools such as NumPy, SciPy, pandas or Polars,Pydantic,Plotly, or equivalent technologies. Experience with time-series or sensor data, data validation, numerical optimisation, simulation, statistics, or uncertainty analysis. Familiarity with typed Python ...

Class of 2027 bachelor's or master's students in a quantitative or STEM discipline. Strong Python plus a compiled language. Experience with Pandas, Polars, or NumPy. Exceptional quantitative, logical-reasoning, and analytical skills. Coding, mathematics, system-design, and behavioural interviews. The programme begins with multiweek education before placement ...

Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including CI/ ...

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 ...

hold up against a live training/matchday schedule, not just be technically neat. Python/SQL/TypeScript, PyData stack (Pandas/Polars, Altair, etc.), PyTorch/JAX/TF. You'll own things end-to-end, data through UI. Looking for strong quant background, first-principles engineering judgment ...

particularly with large-scale or time-series datasets Strong programming skills in Python, Rust and/or C++ Experience with tools such as Pandas, Polars, Dask or PySpark Experience building data platforms, ETL systems, data lakes, warehouses or lakehouse architectures Knowledge of Parquet, Arrow or similar columnar formats Experience 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 ...

operate a hybrid Python/C++ engineering stack. A large portion of our stack is Python-based (utilising libraries like NumPy, SciPy, PyTorch, Polars, Ray, Plotly, and Dash), but an increasing amount of our most performance-critical systems are written in modern C++ (C++23). We are actively looking … have: Advanced data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience deploying and serving ML models in production, including model ...

About the Company Our client is a boutique investment firm that combines quantitative research, proprietary data infrastructure, and advanced analytics to support investment decision-making across fixed income markets. The firm has invested heavily in ...

strategy software to minimise trading latency and scale effectively. Our ML stack is Python based and utilises modern ML libraries and tooling including Polars, Ray, Plotly etc. The ideal candidate will have a strong software engineering background, with broad experience across a range of topics related to general high performance … Nice to have: Data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience in scientific computing with other languages & frameworks Participation ...

I'm currently partnered with an early-stage, well-funded AI business that is building the operating system for a large, traditionally under-digitised industry, and looking to hire their first Lead Data Engineer into ...