326 to 350 of 4,257 Python Jobs in the UK excluding London

/Communication Engineering or related subject is required (2:1 or higher). Proficiency in multiple relevant programming languages (E.g. C/C++/Python) is required. Proficiency in utilizing devops tools such as Github or Gitlab is required. Competency with embedded Linux (e.g. Buildroot or Yocto) is required. Competency More ❯

Tools: AWS Direct Connect, Transit Gateway, Route 53, and other relevant tools. Security Best Practices: IAM, MFA, data encryption, firewall configurations. Programming/Scripting: Python, Terraform, or similar languages. Event-Driven Architectures: Kafka. Monitoring and Logging: Datadog, ELK Stack, Prometheus, etc. Experience in agile methodologies and DevOps practices. Location: Hybrid. More ❯

of networking protocols (TCP/IP, MQTT, HTTP), data communication, and edge/cloud data infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with More ❯

advanced degrees. Experience with one or more of the following: Natural Language processing, deep learning, generative AI, and/or Agentic AI. Expert with Python and data science frameworks. Excellent problem-solving and analytical skills. Excellent communication and interpersonal skills. Articulates thoughts and ideas clearly, concisely, and persuasively. EEO Statement More ❯

With your expertise, you’ll operate at a deep technical level, leveraging your familiarity with languages such as C++, Golang, Java, JavaScript, .NET, Node, Python, Rust, and cloud platforms (AWS, Azure, GCP). You might be mentoring a team or leading as a technical expert. You’ll be keen to More ❯

providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks More ❯

providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks More ❯

cloud or hybrid cloud strategies. FinOps Certifications Skills: Advanced analytical skills, with proficiency in data analysis and financial modeling tools (e.g., Excel, SQL, or Python). Excellent communication skills, with the ability to present complex information to both technical and non-technical stakeholders. Experience with cost management tools, reporting systems More ❯

of normal business hours. Required Skills: 2+ years of object-oriented design and development in Java. 2+ years with at least 1 scripting language, Python preferred. Experience with continuous integration using related tools such as GIT, Jenkins, Terraform. Experience developing software for cloud environments, Azure preferred. Good communication, verbal and More ❯

is an advantage. Familiarity with virtualization & containerization technologies (Docker, Kubernetes, Hyper-V, ). Engineering skills using one or more programming languages such as Java, Python, C#, shell script (Linux/Powershell). Experience of monitoring, logging and alerting stacks or APMs such as Datadog, Dynatrace, Solarwinds, Prometheus, Grafana, TICK, ELK. More ❯

Familiarity with some of the latest AI frameworks and libraries, such as TensorFlow, PyTorch, Keras, etc Programming skills : Experience with scripting languages such as Python for data analysis and machine learning applications and software development Data management skills : Proficiency in database management systems (DBMS), including SQL and NoSQL databases, to More ❯

design to deployment and optimization. Aligned with our core values: friendly, partnering, straightforward, and confident. Additional beneficial skills (not essential): Experience with Power BI, Python, C#, Angular, Power Automate, or data science practices. Knowledge of optimizing data pipelines, architectures, and ETL/ELT processes. Experience provisioning APIs for data consumption. More ❯

will always be considered in lieu of formal qualifications. Relevant Microsoft Certifications. Ability to be SC cleared. Skills: Proficiency in scripting languages such as Python, Bash, or PowerShell. Extensive knowledge of Azure cloud services. Experience with CI/CD tools like Jenkins or Azure DevOps. Strong understanding of containerization and More ❯

business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. More ❯

delivery. Who you are: Solid technical foundation in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines More ❯

TensorFlow, PyTorch, and Scikit-learn Ability to research, understand, and apply emerging machine learning techniques Programming & Data Engineering Proficiency in programming languages such as Python (preferred) and C++ Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including More ❯

TensorFlow, PyTorch, and Scikit-learn Ability to research, understand, and apply emerging machine learning techniques Programming & Data Engineering Proficiency in programming languages such as Python (preferred) and C++ Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including More ❯

TensorFlow, PyTorch, and Scikit-learn Ability to research, understand, and apply emerging machine learning techniques Programming & Data Engineering Proficiency in programming languages such as Python (preferred) and C++ Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including More ❯

how our current and future security initiatives and processes are performing. Design and develop innovative solutions to technical security problems, using languages such as Python, Go, or using database technology such as SQL, Snowflake. Making use of our AWS cloud-first approach, with knowledge of IAM and other access strategies. More ❯

GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices More ❯

resolving complex issues across cloud environments and applications, CI/CD pipelines, and automated processes. Strong scripting and automation skills in PowerShell, Bash, or Python, with the ability to build sophisticated automation solutions to streamline operations, improve efficiency, and reduce manual work. Ability to lead and guide DevOps best practices More ❯

delivery models - being able to work in a team or squad, adopting agile methods and ways of working. Can demonstrate examples of using scripting (Python, Shell, Perl) to deliver automation experience of vendor solutions like Ansible Tower, SUSE Manager or other open-source tools. Experience with docker, Kubernetes and/ More ❯

Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles More ❯

Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles More ❯

delivery models - being able to work in a team or squad, adopting agile methods and ways of working. Can demonstrate examples of using scripting (Python, Shell, Perl) to deliver automation experience of vendor solutions like Ansible Tower, SUSE Manager or other open-source tools. Experience with docker, Kubernetes and/ More ❯