10 of 10 Permanent Polars Jobs in England

limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures ...

Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures ...

/data models (forecasting, pricing, optimisation or similar) Strong Python proficiency and modern data stack exposure (SQL, Pandas/NumPy + PySpark; Dask/Polars/DuckDB a bonus) build, schedule and optimise Spark/PySpark pipelines in Databricks (Jobs/workflows, performance tuning, production delivery) Hands-on experience with ...

operating modern data pipelines with real ownership Have worked on research-, trading-, or decision-critical systems Are curious about modern data tooling (e.g. Polars, Julia, Rust, Lakehouse patterns ), even if you haven’t used all of it yet Prefer hands-on technical ownership Ideal Background Systematic funds, quantitative asset managers ...

hands-on experience in data engineering , ideally in startups, consumer subscription apps, or MarTech . Strong Python skills (certifications or deep experience with Pandas, Polars ). Experience with behavioral tracking data (e.g., Amplitude, Mixpanel, Segment). Familiarity with dbt, Django, and DevOps/ML workflows . A proactive, founding-engineer ...

senior IC Experience in the following is a plus: Modern data architectures (e.g. Lakehouse, columnar analytics) High-performance data tools (e.g. Polars, Julia) Strong system-design thinking and data-lifecycle awareness Emerging systems languages (e.g. Rust) for performance-critical data workflows Relevant Backgrounds (Finance or Non-Finance) We consider candidates ...

technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football ...

working with production systems in a regulated environment Able to work independently and deliver in a fast‐paced setting Nice to Have Exposure to Polars Experience optimising Spark workloads Cloud data platform experience across AWS, Azure or GCP What Makes This Role Appealing You'll work on data that directly …/ELT and data extraction * Background in financial services, ideally investment management * Comfortable working in a regulated, production environment Nice to Have * Exposure to Polars * Experience optimising Spark workloads * Cloud data platform experience (AWS, Azure ...