1 to 25 of 131 NumPy Jobs

/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage ...

/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage ...

trading technology. Advanced degree (Master’s or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline. Advanced Python engineering capability (inc. NumPy/SciPy/Pandas). Strong understanding of derivatives pricing theory. Background working with commodity or equity options, including structured derivatives. Solid understanding of Greeks ...

Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful ...

monitoring (latency, accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry ...

Engineering, or a related STEM field. Strong foundation in machine learning concepts, algorithms, and model development. Experience with Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Understanding of software engineering principles and version control (Git). Familiarity with cloud platforms (AWS, GCP, or Azure ...

time-series and/or data-focused packages Excellent written and verbal communication skills Data Manipulation & Analysis Strong hands-on experience with: Pandas and NumPy (Polars is a plus) Proven skills in: Data cleaning and preprocessing Handling missing values Grouping, merging, pivoting, and aggregations Working with SQL for data access ...

insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. Knowledge ...

Understanding of massive parallel processing (MPP) architecture to support high volume data processing. Knowledge of Python syntax and experience with relevant libraries such as NumPy, Pandas etc. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume ...

understanding the 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 ...

understanding the 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 ...

generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural ...

generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural ...

with cloud platforms (AWS, Azure, or GCP) Knowledge of containerization tools (Docker, Kubernetes) Familiarity with CI/CD pipelines Exposure to data processing libraries (NumPy, Pandas) or ML frameworks (optional) Experience with frontend technologies (HTML, CSS, JavaScript) is a plus Education & Experience Bachelors degree in Computer Science, Engineering ...

Word2Vec, TF-IDF, Word Embeddings Transformers: BERT, ELMo OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002 Libraries & Tools numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI OpenAI Agents ...

What We’re Looking For Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics. Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics. Deep understanding of machine learning methods and their practical application. Experience delivering multiple ...

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring ...

documentation on time. You will break down designs, create tests, and ensure the software meets all requirements Our backend uses Python with scientific libraries (NumPy, SciPy, Polars), and our frontend uses React. Experience with these is helpful but not required. Why Rolls-Royce? At Rolls-Royce we are proud ...

based predictions. Proven expertise in time-series forecasting and spatio-temporal modeling, ideally applied to weather or energy systems. Strong proficiency in Python (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, Lightning, or equivalent). Solid understanding of data engineering and ML infrastructure Experience deploying ML models to cloud-native environments (Kubernetes ...

transform, load) across platforms such as Oracle, Snowflake, S3, PL/SQL, or similar data stores. Familiarity with data libraries such as Pandas/NumPy is a strong plus. Experience consuming and integrating with REST APIs/microservices. Get in contact with Ross Irwin at The Recruitment Company to find ...

engineering, ideally within quantitative finance. Advanced degree in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering). Strong Python programming skills (experience with Pandas, NumPy; familiarity with Polars a plus). Proven ability to work with large-scale alternative and traditional financial datasets. Interest in financial markets and applying data ...

Ensure data quality, governance, and lineage tracking throughout the project. Required Skills ETL/ELT pipeline design and data validation frameworks. Advanced Python (pandas, numpy, boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings, and semantic ...

Ensure data quality, governance, and lineage tracking throughout the project. Required Skills ETL/ELT pipeline design and data validation frameworks. Advanced Python (pandas, numpy, boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings, and semantic ...

experience in data science roles, with proven success in delivering end-to-end projects. Strong proficiency in Python , R , and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data ...

data science projects from conception to delivery. Experience with customer focused Data Science techniques - especially around personalisation and recommenders. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation. Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value. Track record ...