26 to 33 of 33 Python Jobs in Gloucester

excellent development opportunities. Key Responsibilities: Software design, development, and debugging on secure systems Creating and maintaining test frameworks (e.g., JUnit 5) Developing in Linux environments with modern languages (Java, Python) Working with Agile/SCRUM practices and CI/CD pipelines (GitLab) Contributing across the software development lifecycle from requirements to deployment Tech Stack Includes: Java, Python, Linux, Git, JUnit More ❯

solutions Technical or team leadership Stakeholder engagement Administration of Linux and Windows systems Deploying and troubleshooting IPv4 Networking and Subnetting Automation tasks using either Bash, Ansible, Puppet, PowerShell, or Python To be Considered.... Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com For further information please call me on 0161 416 6800 or 07719 065951. … LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. CLOUD ENGINEER/LEAD CLOUD ENGINEER/LINUX/UNIX/AWS/WINDOWS/PYTHON/ANSIBLE/BASH/POWERSHELL/IPV4/INFRASTRUCTURE AS CODE/IAC/LEAD ENGINEER/AUTOMATION/SECURITY CLEARANCE/DV/CHELTENHAM/SECURITY More ❯

to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯

to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯

includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both More ❯

wide-ranging and frequently involve signal processing, image processing, and low level or embedded software engineering in C/C++/Rust in addition to higher level work in Python, TypeScript and JavaScript. The successful candidate will be adaptable to this variety of work. You will bring: A 1st or 2:1 in a numerate subject from a top university … possibly (though not necessarily) a PhD, and strong A-level or equivalent grades (A* equivalent) in at least Maths and Physics. Prior software development experience in C, C++, Python, TypeScript or JavaScript. It is likely you will have made major design and implementation contributions to at least one sizeable project (an application or system of some complexity rather than a More ❯

includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both More ❯

difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with engineers and analysts to integrate models into production systems Present findings and insights to technical and non-technical stakeholders Contribute to … the ongoing improvement of analytical tooling and processes Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent More ❯