1 to 25 of 125 Permanent NumPy Jobs in the UK excluding London

such as MLflow, AWS Sagemaker, and Azure Machine Learning Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding packages (eg. in Python: NumPy, Scikit-Learn, Pandas, Matplotlib etc.) Strong skills in data exploration, cleansing, modelling and presentation Strong experience in testing data models and Machine Learning Models Strong More ❯

Flakes) Data pipelines and big data tech Docker: both building but running too Wide AWS and infrastructure knowledge, including production support Scientific computing e.g. Numpy/scipy/pandas Just state the word 'Salmon' anywhere in your application, just to prove you can read a job advert. We aim to More ❯

Flakes) Data pipelines and big data tech Docker: both building but running too Wide AWS and infrastructure knowledge, including production support Scientific computing e.g. Numpy/scipy/pandas Just state the word 'Salmon' anywhere in your application, just to prove you can read a job advert. We aim to More ❯

to collaborate with both technical and non-technical teams This role is 70% hands on, 30% management Technical Expertise Required - Python - proficiency with Pandas, Numpy, SQLAlchemy, FastAPI, and Pydantic MySQL, PostgreSQL, and Redis Hands-on experience with Google Cloud Platform (GCP) services like Pub/Sub, Cloud Run, VMs, Load More ❯

to collaborate with both technical and non-technical teams This role is 70% hands on, 30% management Technical Expertise Required - Python - proficiency with Pandas, Numpy, SQLAlchemy, FastAPI, and Pydantic MySQL, PostgreSQL, and Redis Hands-on experience with Google Cloud Platform (GCP) services like Pub/Sub, Cloud Run, VMs, Load More ❯

influence everything we do. Preferred Qualifications Familiarity building scalable services in a microservices architecture. Familiarity with statistical tools such as SAS, or Python (with NumPy, SciPy, Pandas) Familiarity with public cloud platforms, such as AWS, Azure, or GCP. Strong testing automation experience, preferably in unit frameworks Diverse and Inclusive At More ❯

and even have the ability to be client facing! Requirements 5+ years experience with Data Engineering Strong working knowledge with Python/Pandas/NumPy/ETL pipelines Strong AWS experience (ideally Lambda & Step Functions) Beneficial: Experience or interest in the financial markets Experience in client facing role Previous start More ❯

architecture, and business intelligence A good understanding of Python, including fundamental knowledge and a willingness to learn, along with familiarity with packages such as NumPy, pandas, and scikit-learn. Proficiency in SQL is required, along with experience in Unix and familiarity with scheduling tools like Tidal and Airflow. Good understanding More ❯

architecture, and business intelligence A good understanding of Python, including fundamental knowledge and a willingness to learn, along with familiarity with packages such as NumPy, pandas, and scikit-learn. Proficiency in SQL is required, along with experience in Unix and familiarity with scheduling tools like Tidal and Airflow. Good understanding More ❯

Looking For: Previous experience at a tier-one bank or large financial organisation is a plus. Extensive proficiency in Python, including libraries such as numpy and scipy. Experience in Market Risk/Trader Risk development is highly advantageous, though not mandatory. Strong knowledge of Rates and Fixed Income products is More ❯

Looking For: Previous experience at a tier-one bank or large financial organisation is a plus. Extensive proficiency in Python, including libraries such as numpy and scipy. Experience in Market Risk/Trader Risk development is highly advantageous, though not mandatory. Strong knowledge of Rates and Fixed Income products is More ❯

retrieval-augmented generation (RAG) systems Knowledge of optimization techniques for reducing LLM latency and computational costs Software Engineering & Architecture Strong Python development skills (pandas, numpy, scikit-learn, PyTorch/TensorFlow) Experience with web frameworks (Streamlit, FastAPI, or Flask) and frontend technologies Database design and optimization (PostgreSQL preferred) for large protein More ❯

or coaching contexts Translating raw telemetry into actionable visuals WebGL for spatial data representation ++AI/ML Experience Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, XGBoost Hugging Face Transformers, OpenAI fine-tuning, Anthropic Claude, custom LLM training Skilled in data labelling, embedding generation, prompt design, and model evaluation ++ Nice More ❯

or coaching contexts Translating raw telemetry into actionable visuals WebGL for spatial data representation ++AI/ML Experience Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, XGBoost Hugging Face Transformers, OpenAI fine-tuning, Anthropic Claude, custom LLM training Skilled in data labelling, embedding generation, prompt design, and model evaluation ++ Nice 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 ❯

to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to More ❯

BeautifulSoup, or Selenium). Strong knowledge of data cleaning, standardization, and normalization techniques Experience with data analysis and modeling using libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow. Familiarity with SQL and database management systems (e.g., PostgreSQL, MySQL). Experience with cloud platforms (e.g., AWS, Azure, GCP) and big More ❯

BeautifulSoup, or Selenium). Strong knowledge of data cleaning, standardization, and normalization techniques Experience with data analysis and modeling using libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow. Familiarity with SQL and database management systems (e.g., PostgreSQL, MySQL). Experience with cloud platforms (e.g., AWS, Azure, GCP) and big More ❯

retrieval-augmented generation (RAG) systems Knowledge of optimization techniques for reducing LLM latency and computational costs Software Engineering & Architecture Strong Python development skills (pandas, numpy, scikit-learn, PyTorch/TensorFlow) Experience with web frameworks (Streamlit, FastAPI, or Flask) and frontend technologies Database design and optimization (PostgreSQL preferred) for large protein More ❯

time series, spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools More ❯

experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important More ❯

targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series More ❯

targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series More ❯