51 to 75 of 244 NumPy Jobs in England

and deployment. Strong software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). More ❯

of engagements; advisory, design & implementation. Contribute to internal initiatives such as blogs & technical forums. Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow). Experience driving ML & data science solutions into production. You can put the numbers into a business perspective - you're a More ❯

Markets, Particularly Oil, Gas, and Commodities. Business Analysis Skills including requirements gathering, process mapping, and data analysis. Experience with SQL, C#.Net, Git, Python (Panda, Numpy, ML libraries), and data visualization tools such as Power BI or Tableau. Benefits & perks Competitive salary Vitality health insurance and dental cover 38 days of More ❯

some of the following skills: Machine learning techniques - including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data preprocessing - working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data More ❯

some of the following skills: Machine learning techniques – including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data preprocessing – working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data More ❯

some of the following skills: Machine learning techniques – including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data preprocessing – working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data 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 ❯

Experience IT qualification or relevant experience is desirable Proven experience with Python, SQL and desirably SOQL. Familiarity with a base set of libraries (Pandas, Numpy, Scikit-learn etc) Experience with Apex or Java A strong broad generalist background in working with computers and dealing with large amounts of information. Database More ❯

Experience IT qualification or relevant experience is desirable Proven experience with Python, SQL and desirably SOQL. Familiarity with a base set of libraries (Pandas, Numpy, Scikit-learn etc) Experience with Apex or Java A strong broad generalist background in working with computers and dealing with large amounts of information. Database More ❯

Experience IT qualification or relevant experience is desirable Proven experience with Python, SQL and desirably SOQL. Familiarity with a base set of libraries (Pandas, Numpy, Scikit-learn etc) Experience with Apex or Java A strong broad generalist background in working with computers and dealing with large amounts of information. Database More ❯

requires a Quant Developer with expertise in designing productionised code and unit testing. Key Skills: Expert in Python development Experience working with Pandas and NumPy libraries Experience contributing in robust Python code to a Quant Library TDD Unit testing Object Oriented Design Desired Skills: Equity Derivatives Structured Products knowledge e.g. More ❯

requires a Quant Developer with expertise in designing productionised code and unit testing. Key Skills: Expert in Python development Experience working with Pandas and NumPy libraries Experience contributing in robust Python code to a Quant Library TDD Unit testing Object Oriented Design Desired Skills: Equity Derivatives Structured Products knowledge e.g. More ❯

a strong python software engineering skill set with a solid data science background so we will be looking for skills across: Python Python Frameworks (NumPy, Django, etc) Writing and implementing Code Testing Quality assurance Software tool deployment AWS (Lambda, AWS integrations etc) Metaflow & Prefect Key will be working with Raster More ❯

GCP) to store and process data. • Document workflows, pipelines, and transformation logic for transparency. Key Skills & Experience: • Strong hands-on experience in Python (Pandas, NumPy, PySpark). • Experience building ETL/ELT processes. • Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). • Understanding of More ❯

Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well as More ❯

Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well as More ❯

and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in More ❯

and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in More ❯

learning models for business applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc. - Experience in implementing Computer Vision algorithms. Posted: February 26, 2025 (Updated 2 days ago) Posted: March 7, 2025 (Updated 5 days ago) Posted More ❯

learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

Must-Have Requirements: 3-5+ years' experience applying classical ML in commercial settings Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn) Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.) Comfortable working across the full ML lifecycle Previous More ❯

Must-Have Requirements: 3-5+ years' experience applying classical ML in commercial settings Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn) Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.) Comfortable working across the full ML lifecycle Previous More ❯

and governance. Required Skills/Experience The ideal candidate will have the following: Experience in analytics or model/data engineering. Advanced Python skills (Numpy/Pandas). Strong SQL and relational database design expertise. Excellent communication skills. Benefits & Perks £6,000 per annum training & conference budget to help you More ❯

learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in implementing Computer Vision algorithms. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to More ❯