51 to 75 of 224 NumPy Jobs in the UK

to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments within More ❯

to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments within More ❯

to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments within More ❯

to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments within More ❯

to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments within More ❯

responsibility for system architecture, mentoring junior team members, and conducting thorough code reviews Strong programming skills in Python and C++, with experience using libraries and frameworks such as PyTorch, NumPy, Pandas, TensorFlow, and OpenCV for computer vision and data processing Familiarity with front-end technologies including JavaScript and HTML for building user-facing interfaces or tools Practical, hands-on experience More ❯

responsibility for system architecture, mentoring junior team members, and conducting thorough code reviews Strong programming skills in Python and C++, with experience using libraries and frameworks such as PyTorch, NumPy, Pandas, TensorFlow, and OpenCV for computer vision and data processing Familiarity with front-end technologies including JavaScript and HTML for building user-facing interfaces or tools Practical, hands-on experience More ❯

up? Having added nearly 100 people to the business this year, they're looking for Quantitative Developers with proficiency in Python, and experience with the Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning More ❯

up Having added nearly 100 people to the business this year, they're looking for Quantitative Developers with proficiency in Python, and experience with the Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning More ❯

succeed Extensive Data Science experience within Investment Banking - Mandatory. We will not consider candidates without this experience. Strong Data Engineering and Data analysis experience, with strong knowledge of Pandas, NumPy, and visualisation tools. Strong Python programming experience, with good experience building and maintaining Data Pipelines. Good knowledge of Fixed Income products. Strong experience in statistical analysis, machine learning, and predictive More ❯

constraints. Automate Data Pipelines, designing and managing workflows for collecting, cleaning, and storing large volumes of financial data (e.g., price, volume, fundamentals, alternative data), often using tools like Pandas, NumPy, and Dask. Collaborate Across Teams for Deployment, working with researchers, traders, and DevOps teams to integrate Python models into production environments (e.g., through APIs, microservices, or containerized systems like Docker More ❯

libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising More ❯

Requirements Must Have: 5+ years of professional Python development experience. Strong ability to write clean, modern Python code. Experience building and documenting APIs. Deep knowledge of Python ecosystem (Pandas, Numpy, Bokeh, PyArrow, Matplotlib, IPyWidgets, Jupyter, etc.). Proven experience with large-scale data pipelines and ETL workflows. Comfortable working in Jupyter notebooks. Understanding of crypto or traditional financial markets. Nice More ❯

constraints. Automate Data Pipelines, designing and managing workflows for collecting, cleaning, and storing large volumes of financial data (e.g., price, volume, fundamentals, alternative data), often using tools like Pandas, NumPy, and Dask. Collaborate Across Teams for Deployment, working with researchers, traders, and DevOps teams to integrate Python models into production environments (e.g., through APIs, microservices, or containerized systems like Docker More ❯

Skills and Experience: Proven ability 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-end data science projects across More ❯

Skills and Experience: Proven ability 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-end data science projects across More ❯

and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? 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, Databricks. ? Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ? Ability to More ❯

building, deploying and maintaining NLP/Deep Learning Systems. * Extensive experience in at least one Deep Learning framework (PyTorch, TensorFlow, JAX). * Well versed in the scientific Python ecosystem (NumPy, Scikit-Learn, Pandas etc.). * Strong Data Engineering underpinnings and an ability to work with big data (Tbs). * Strong leadership skills, using empathy, clarity and challenge to support your More ❯

maintain in-house applications for the Derivatives trading desk using Python Implement automated testing with PyTest and ensure code quality through peer reviews Process, analyse, and manipulate data using NumPy and Pandas Manage CI/CD pipelines to ensure stable production environments Utilise Git-based workflows for collaborative development Work closely with team members and stakeholders to deliver user-focused More ❯

on programming experience Proficient Python Programming Functions, classes & object-oriented programming List comprehensions & generators Error handling Working with virtual environments & package management (pip, venv) Data Manipulation & Analysis Libraries: pandas, numpy (optional: polars) Data cleaning & preprocessing Handling missing values Grouping, merging, pivoting & aggregations SQL knowledge Software Engineering Best Practices Version control using Git Writing modular & reusable code Unit testing (e.g., pytest More ❯

Required AIML, Machine Learning & Data Science Large Language Models (GPT, Claude), Generative AI, RAG Agentic AI, CoPilot, MCPs AIML Algorithms (Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Experience building AIML solutions for test generation, prioritization, defect triage, reporting, framework migration Strong understanding of QA automation frameworks and test lifecycle SQL proficiency Agile ways of More ❯

For: Essential: Experience with LLMs (GPT, BERT) and NLP tasks. Fine-tuning pre-trained models for domain-specific applications. Strong Python skills (OOP, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms (AWS preferred). Desirable: Named entity recognition, recommendation systems, or image analysis. More ❯

For: Essential: Experience with LLMs (GPT, BERT) and NLP tasks. Fine-tuning pre-trained models for domain-specific applications. Strong Python skills (OOP, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms (AWS preferred). Desirable: Named entity recognition, recommendation systems, or image analysis. More ❯

setting up CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or GitLab CI, targeting Azure environments. Experience with popular Python libraries and frameworks such as Pandas, NumPy, and PySpark. Benefits Full-time, permanent contract. Competitive salary up to £60,000 per annum, depending on experience. Hybrid working model based in Aberdeen (2 days per week in the More ❯

and delivery of solutions. Optimize performance and reliability across data platforms and cloud environments. Document processes and share knowledge effectively. Essential Skills Python (Highly Proficient): Libraries such as Pandas, NumPy; API development (Flask/Dash); package management (pip, Poetry). DevOps Expertise: CI/CD tools (Jenkins, GitHub Actions), scripting (Bash, Python), Linux environments. Cloud & Containerization: Docker, Kubernetes, and experience More ❯