51 to 75 of 164 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 ...

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 ...

data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing ...

English and strong presentation skills Experience with Microsoft PowerPoint and Excel Preferred Qualifications Programming skills in Python including data science libraries such as pandas, numpy or plotly Work experience in: Consulting or a client-facing business Quantitative research methods (especially surveys and experiments) Media and conversation analysis Expertise in: Natural ...

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 ...

Engineering, or ML Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring ...

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 ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

years of hands‐on kdb+ development experience. Strong expertise in kdb+/q and Python. Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience. Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies. Strong background in quantitative analysis, including ...

area such as predictive modelling, classification, regression, optimisation or recommendation systemsStrong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learnA solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniquesExperience with Spark, agile delivery methods and CI/CD practicesFamiliarity ...

technical subject. Physical sciences or mathematics are preferred. Strong Python skills and competency across the Python data science ecosystem such as pandas, numpy and scikit-learn, or a highly transferable equivalent. Experience working with LLMs and agentic AI systems, including harnesses, RAG, context engineering and evaluations. Experience working safely ...

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 ...

customer-facing productsExperience in travel, transport, marketplaces, or similarly complex digital platformsOur technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic ...

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 ...

Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn. Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error ...

Quantitative & Analytical Econometric analysis, statistical modeling, demand/supply forecasting, scenario analysis, backtesting, and supply/demand balance modeling Programming & Data Tools Python (pandas, NumPy), SQL, VBA, Advanced Excel, API integration, Power Query; familiarity with R, MATLAB, or C++ a plus Visualization & Dashboarding Power BI, Tableau, or similar tools ...

/services and their integration with databases (e.g. Postgres); You are familiar with the key tools of the Python data science stack, e.g. Pandas, Numpy and scikit-learn; Some experience with training and deploying ML models; You enjoy writing elegant, well-tested and maintainable code; You are a team player ...

field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with ...

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 ...

Skills Strong Python development experience (FastAPI, Pydantic, SQLAlchemy, Pytest). Experience with PostgreSQL, Docker, Git/GitHub, GitHub Actions, and microservices. Knowledge of Pandas, NumPy, OpenTelemetry, and cloud-native development. Strong communication, problem-solving, and stakeholder management skills. Ability to take ownership and thrive in a fast-moving environment. Desirable ...

assets A degree or equivalent experience in mathematics, physics, computer science, engineering, quantitative finance or a related field Nice to have Python experience, particularly NumPy, SciPy or pandas KDB+/Q or another functional programming language AWS, Docker or Kubernetes Java performance tuning, garbage‐collection optimisation or LMAX Disruptor Knowledge ...

experience in a software engineering, quantitative developer, or data engineering role. Experience within the finance industry is a strong plus. Good working knowledge of NumPy and Pandas. Familiarity with backend development and async programming in Python/modern Python frameworks. Experience with containerisation and cloud deployments (Docker, cloud platforms such ...

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 ...

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 ...

solve business problemsProven experience in translating technical methods to non-technical stakeholdersStrong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub)ML experience with causality, Bayesian ...