76 to 82 of 82 Python Jobs in South Yorkshire

enterprise platforms. Building and enhancing CI/CD pipelines and deployment processes. Driving DevOps best practices, governance and engineering standards. Developing automation using Ansible, Python and API integrations. Supporting platform modernisation and operational efficiency initiatives. Providing technical leadership and mentoring engineers across delivery teams. Working closely with stakeholders to improve … working within IBM Z environments. Experience with zOSMF and zOAU would be highly advantageous. Strong hands-on experience with: Jenkins GitHub Ansible Automation Platform Python HashiCorp Vault API Integrations Nexus Proven experience designing and implementing enterprise automation solutions. Strong understanding of DevOps governance, controls and compliance. Experience mentoring engineers ...

engineer’s stories: Sam joined straight after completing his MSc in physics, with limited practical engineering experience. Sam initially worked on modelling in Python, something he was very familiar with, while building up experience in electronics and firmware — learning to solder, writing embedded code from scratch. Finding this … mechanics, etc. Familiarity with electronics, control systems, or physical system modelling Interest in or experience in practical making — familiar with a toolbox Programming competence (Python, C/C++, TypeScript, React, Postgres) We work across a wide range of disciplines, with engineers tending to specialise in one. We expect this ...

decisions. Prototyping & Development: Contribute to the design, assembly and testing of experimental systems and prototypes, including hardware integration, component selection and the development of Python-based test and control tools. Product Development: Support the transition from laboratory prototypes to reliable, deployable hardware, considering packaging, maintainability, remote operation and integration into … operated systems. Familiarity with systems engineering methods and tools, such as requirements traceability, interface control documents, FMEA or model-based systems engineering. Experience with Python or similar tools for hardware control, test automation or system modelling. Experience taking complex hardware from research or prototype stages through to reliable, deployable products. ...

Design Tools: Develop and maintain semiconductor modelling workflows using TCAD and numerical simulation tools such as nextnano, Crosslight, Silvaco, Sentaurus or equivalent software, alongside Python-based modelling and data analysis. Epitaxy & Manufacturing: Work with external MOCVD/MOVPE and MBE growth partners to translate epitaxial designs into material specifications … with semiconductor TCAD, numerical device simulation or multiphysics modelling, and the ability to use modelling results to guide design decisions. Scientific Programming: Experience using Python or equivalent tools for numerical analysis, scientific computing and processing simulation or experimental data. Epitaxial Manufacturing: Understanding of the capabilities and practical constraints of MOCVD ...

Job Overview Arm's Solutions Engineering team builds subsystems and full SoC designs for a wide range of application segments, leveraging the latest IP from Arm and other vendors. We are seeking creative and enthusiastic ...

A Sheffield-based engineering consultancy is looking for candidates to join their multidisciplinary team. The ideal candidate will have a strong background in software development (frontend/backend) and experience deploying production code with technologies ...

reliable and repeatable methods for characterising photonic integrated circuits at room and cryogenic temperatures, using appropriate optical coupling and probing techniques. Measurement Automation: Develop Python-based measurement routines and instrument-control systems to improve test efficiency, repeatability and data quality. Data Analysis: Analyse experimental results, assess measurement uncertainty, identify performance … Skills: Ability to independently design experiments, develop reliable measurement and calibration procedures, assess measurement uncertainty and troubleshoot complex technical problems. Software & Data: Experience using Python or a similar programming language for instrument control, measurement automation, data processing and visualisation. Communication & Collaboration: Ability to communicate technical findings clearly, document experimental work ...