5 of 5 Remote/Hybrid Polars Jobs in England

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 ...

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 ...

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 ...

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 ...