23 of 23 Polars Jobs in the UK

result, we believe the following experiences and skills are essential for application: Strong Python development skills, including experience with Pandas and/or Polars, NumPy, and automated testing with pytest. Hands-on experience building AWS serverless ETL pipelines, using services such as Lambda, EventBridge, ECS/Fargate, DynamoDB, CloudWatch ...

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 ...

Python: Python for data processing, pipelines and model serving, alongside the libraries and tooling used by our data science team (such as pandas, Polars and PySpark) What we’re looking for: Significant experience as a senior or principal engineer leading the design and delivery of data‐intensive systems A track ...

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 ...

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 ...

methodologies Experience contributing to large-scale, efficient and performant analytics workflows, including ETL, orchestration, and distributed compute, using industry-standard libraries such as Pandas, Polars, and Dask. Experience working in a modern software engineering environment leveraging Agile (Scrum), DevSecOps methodologies, CI/CD workflows, and tools including Git and GitHub ...

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 ...

extraction and loading Google Cloud Platform (GCP): Cloud Functions, Workflows, Cloud SQL, Cloud Storage, BigQuery, Pub/Sub, and Datastream PostgreSQL Data Science Python (polars, pandas, scikit) Jupyter notebooks SQL and dbt Infrastructure and delivery GitHub Actions Terraform Artifact Registry Data engineering at Ravio Data is central to Ravio ...

time-series forecasting, gradient boosting, clustering, NLP and Bayesian methods Strong MLOps: orchestration, experiment tracking, hyperparameter tuning and automated retraining pipelines Object-oriented Python, Polars or PySpark, and data versioning (e.g. DVC), plus experience designing data storage Hands-on experience with at least two of AWS, Azure and GCP, including ...

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 ...

Technology Requirements 5+ years of relevant software engineering experience Hands on technical expert, confident to lead development in Python, with emphasis on Pandas/Polars Experience with Postgres, Snowflake and/or handling large datasets Experience with linux, docker and cloud-based development platforms and cloud-based technologies and architecture ...

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 ...

ClickHouse or similar technologies. Knowledge of partitioning, materialised views, and query optimisation techniques. Experience with numerical and data processing libraries including NumPy, pandas, Polars, or Arrow. Understanding of performance optimisation, memory usage, multiprocessing, or asynchronous Python. This opportunity would suit an engineer who enjoys solving complex data engineering problems ...

right way to create data and when code or rules will do the job better, cheaper and more reliably Our stack Python, with Polars, Pandera and Celery SQL and MongoDB Columnar analytics on a Parquet data lake Docker AWS, managed as infrastructure as code What you’ll need An experienced ...

with hierarchical models, MCMC, variational methods, and hands-on work in PyMC, Stan, or NumPyro. Technical Stack: Strong proficiency in Python, SQL, and pandas (Polars or AWS experience is a plus). Track Record: 5+ years of data science experience (PhD and postdoc work count toward this total). Communication ...

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/ ...

experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries strong understanding of data fundamentals and their python implementations (numpy, polars, scipy)About usUBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions ...

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 ...

T. Rowe Price is seeking an experienced software engineer to deliver ESG data analytics tools. You will lead development in Python with Pandas/Polars, work with Postgres/Snowflake, and collaborate across business and technology partners in a fast-paced, Agile environment. You’ll build scalable data solutions, review ...

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 ...

scales effectively and keeps trading latency low. Our ML stack is Python based and utilises modern ML libraries and tooling including Numpy, Scipy, Pytorch, Polars, Ray, Plotly, Dash etc. The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade … 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 ...

test and support production-grade ETL/ELT pipelines that source, transform and curate data for Internal Audit. Develop maintainable Python solutions using Pandas, Polars and PySpark, selecting fit-for-purpose approaches based on scale, performance and operational needs. Write advanced SQL for data transformation, reconciliation, profiling and analysis across … practical experience in computer science, engineering or a related quantitative discipline. A master’s degree is welcome. Hands-on proficiency in Python, including Pandas, Polars and PySpark, with experience writing testable and maintainable code. Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance. Strong understanding ...

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 ...