101 to 125 of 720 NumPy Jobs in the UK

probability, bayesian stats etc.) Good working knowledge of Python Implementing end-to-end ML pipelines Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised learning & matrix factorisation algorithms Natural Language Processing More ❯

CRM systems and finance/savings data (transaction flows, compliance, user segmentation, etc.) Technical Skills: Proficient in Python, SQL, and data science libraries (Pandas, NumPy, Scikit-learn, Hugging Face Transformers) Familiarity with embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate) Experience with cloud platforms (AWS, GCP, or Azure) and MLOps More ❯

analysis, and experimental design Experience with marketing mix modeling, incrementality testing, or causal inference Proficiency in Python for data analysis and statistical modeling (pandas, numpy, scipy, statsmodels) Familiarity with machine learning libraries such as scikit-learn Experience with SQL for data extraction and manipulation Demonstrated ability to translate analytical findings More ❯

communication skills. Nice to have Experience deploying LLMs and agent-based systems Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, ECR, Athena, etc. MLOps: Terraform, Docker, Spacelift, Airflow, MLFlow Monitoring: New Relic More ❯

3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit More ❯

Technical background with good understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and More ❯

language - R or Python Working knowledge of key R libraries like tidyverse and ggplot2 (if proficient in R) or key Python libraries like Pandas, Numpy and Matplotlib (if proficient in Python) Familiarity with R-Markdown(if proficient in R) or Jupyter notebook (if proficient in Python) Working knowledge of SQL More ❯

financial markets Solid understanding of financial markets and products, ideally equities Strong Python skills, including data analysis libraries and visualization tools (Matplotlib, Plotly, pandas, numpy) Strong understanding of the software development lifecycle and practices, including CI/CD A degree or master's in Engineering, Computer Science, Mathematics, or a More ❯

in data engineering roles, ideally within financial services Previous experience leading or managing a technical data team Strong proficiency in SQL and Python (Pandas, NumPy, etc.) Experience with Azure and data architecture, including technologies like Databricks and SQL Server Expertise in SSIS, SSRS, and SSAS This is an excellent opportunity More ❯

trading desks Tech Stack & Experience Required: Strong Python skills in a trading environment (ideally front office) Solid experience with React or Angular Experience with NumPy, Pandas , async Python features (bonus) Exposure to Docker , GraphQL (or similar technologies) Excellent communication skills – must be confident working closely with stakeholders Bonus (Nice-to More ❯

understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and as More ❯

trading desks Tech Stack & Experience Required: Strong Python skills in a trading environment (ideally front office) Solid experience with React or Angular Experience with NumPy, Pandas , async Python features (bonus) Exposure to Docker , GraphQL (or similar technologies) Excellent communication skills – must be confident working closely with stakeholders Bonus (Nice-to More ❯

trading desks Tech Stack & Experience Required: Strong Python skills in a trading environment (ideally front office) Solid experience with React or Angular Experience with NumPy, Pandas , async Python features (bonus) Exposure to Docker , GraphQL (or similar technologies) Excellent communication skills – must be confident working closely with stakeholders Bonus (Nice-to More ❯

trading desks Tech Stack & Experience Required: Strong Python skills in a trading environment (ideally front office) Solid experience with React or Angular Experience with NumPy, Pandas , async Python features (bonus) Exposure to Docker , GraphQL (or similar technologies) Excellent communication skills – must be confident working closely with stakeholders Bonus (Nice-to More ❯

Engineering, or a related field. 3+ years of experience developing financial tools, particularly in credit-related products. Strong Python skills, with experience using Pandas, NumPy, and Python-Dash. Knowledge of fixed income risk, P&L attribution analysis, and credit derivatives. Experience with SQL for querying databases and integrating data sources. More ❯

Machine Learning & Deep Learning – Algorithms, neural networks, and frameworks like TensorFlow or PyTorch. Data Analysis & Visualization – Ability to work with large datasets using Pandas, NumPy, Matplotlib, or Seaborn. NLP & Computer Vision (Bonus) Software Development – Knowledge of APIs, backend systems, and full-stack development (desirably for AI-powered applications). Cloud More ❯

to deliver results An analytical mindset Experience with real-time streaming systems Signal processing expertise Python knowledge, especially with libraries used by data scientists (NumPy, Pandas, SciPy, etc.) Familiarity with Machine-Learning libraries (PyTorch, CoreML, TensorFlow, etc.) a plus Experience in Android development Experience in iOS development: Swift, Objective-C More ❯

and/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS Excel More ❯

leadership and uphold best engineering practices. Requirements for a GenAI Python Engineer : Hands-on experience with Generative AI and Python. Strong skills in Pandas, NumPy, and familiarity with Spark, Dask, and LangChain. Expertise in Kubernetes, backend development, and scalable API engineering. Experience in financial services is a plus. A Bachelor More ❯

or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and More ❯

Technical Skills Required: Proficiency in Python (preferred), R, Java, or C++. Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks. Strong skills in Pandas, NumPy, SQL for data handling and analysis. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Ability to present insights using visualization tools like Tableau More ❯

or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and More ❯

Familiarity with data science principles and methodologies, with experience applying them in real-world scenarios. Expertise in the following technologies: Hibernate, PostgreSQL, Maven, Guice, Numpy, Pandas Exposure to financial markets, either through formal education or professional experience An interest in and working knowledge of AI-assisted development tools (e.g., code More ❯

years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯

years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯