20 of 20 Polars Jobs in London

applications using Python or/and Go/RustExcellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc).Experience developing and implementing Machine learning models ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

degree in a STEM related field Advanced proficiency in Python and SQL with extensive experience working with core data science libraries (e.g. pandas/polars, scikit-learn) Familiar with cloud platforms (e.g. AWS) and orchestration tools (e.g. Airflow, Dagster) in relation to operationalising data science products Experience leveraging Snowflake ...

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 ...

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 ...

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 ...

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 ...

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 ...