26 to 50 of 105 NumPy Jobs in London

Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn 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 ...

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 problems into ...

area such as predictive modelling, classification, regression, optimisation or recommendation systems Strong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learn A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods ...

applying causal inference techniques (e.g., diff‐in‐diff, IV, matching) where randomization is impractical Fluency in Python and core data/ML libraries (pandas, NumPy, scikit‐learn, PyTorch or TensorFlow), combined with solid software engineering practices (clean code, testing, version control, code review) Proficient with large‐scale data: strong ...

number of relevant years of experience: 8+ Detailed Job Description: JD: • 8+ years of experience in python scripting. • Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc. • Experience in building native python ETL pipelines for scraping/processing. • Good to have experience in processing ...

Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn 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 ...

Python and SQL Strong foundation in mathematics and statistics Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data Familiarity with Git as part of the development process ...

Terraform or Pulumi) and containerization (Docker and AWS ECS/Kubernetes). Experience with Kafka. Experience working alongside data scientists in the "PyData" ecosystem (Numpy, Pandas) is desirable. Familiarity with some of the other tools in our stack is desirable: Redis Postgres Airflow Spark This is a hybrid role based ...

fraud, financial services, lending, payments, or another decision‐intensive domain. Proficiency in SQL, Python and core data science and machine learning libraries, such as NumPy, Pandas and Scikit‐Learn. Strong practical experience with machine learning model development, deployment, monitoring, and iteration in production environments, including cloud‐based model training, archiving ...

designing and executing marketing experiments Proficiency in applying ML techniques to marketing and customer datasets Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent) Strong command of SQL for querying and analyzing large-scale marketing and media datasets Preferred Qualifications Experience with paid media ...

experience in quantitative development, financial data analytics, quantitative research or a related discipline, with strong hands‐on Python and SQL skills. Experience with pandas, NumPy, Git, testing, CI/CD, cloud computing and modern development environments such as VS Code and GitHub Copilot is highly desirable, as is practical experience ...

experience you bring 4–8+ years in Data Science/ML with a focus on time‐series forecasting and decision analytics Strong Python (pandas, NumPy, scikit‐learn, statsmodels; PyTorch/TF a plus) and SQL; rigorous evaluation (MAE/RMSE, MAPE, pinball loss) Experience productionising models (APIs/batch jobs ...

production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues ...

facing products Experience in travel, transport, marketplaces, or similarly complex digital platforms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation ...

integrate and deploy Machine Learning capabilities and techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‐learn Take pride in writing clean, reusable, maintainable and well‐tested code A desire to learn and embrace ...

partnership model, conveying information clearly and creating trust with stakeholders. Experience with machine learning frameworks (e.g., PyTorch, TensorFlow), data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) and GenAI toolkit Experience in ML Ops #J-18808-Ljbffr ...

Proficiency in programming with Java, C++ or another object-oriented language Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative ...

Python, SQL, with hands-on experience in data analysis and writing production-quality code. Extensive experience with machine learning and data analysis toolkits (e.g., NumPy, Scikit-Learn, Pandas). Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem-solving in day-to-day work. Strong written ...

agent-based workflows and human review. Strong Python and SQL skills. Experience with relevant development tools and libraries, which could include LangChain, LangGraph, Pydantic, NumPy and FastAPI. The ability to work with APIs, JSON, version control and lightweight automation or prototyping tools. The ability to translate operational requirements into clear ...

experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with ...

/CD pipelines. Experience working in Agile/Scrum teams. Professional working proficiency in English. You might also have: Experience with Pandas and NumPy for data processing. Experience with GitHub Actions. Experience with AWS services. Knowledge of Node.js or Vue.js. Experience in financial services projects, such as pensions or insurance. ...

Proficiency in programming with Java, C++ or another object-oriented language Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative ...

machine learning and statistics Solid foundation on data structures and algorithms Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn) Ability to interpret and write complex SQL queries### Experiencewith big data technologies, such as Hive and Spark Track record ...

designed metrics, or run structured model comparisons, and you can talk about where your own metrics misled you - Strong Python for data work (pandas, numpy, notebooks, and the ability to write code other people can run) - Confident with SQL and relational databases - Solid grounding in statistics and experiment design: sampling ...