51 to 75 of 3,302 Python Jobs in the UK

Azure Infrastructure as Code using Terraform and Ansible CI/CD pipeline development with GitLab CI, Jenkins, or GitHub Actions Containerisation and orchestration using Docker and Kubernetes Scripting in Python, Bash, or PowerShell Monitoring and logging with Prometheus, Grafana, and ELK Stack Secure DevOps practices aligned with UK Government and MoD standards Experience working in Agile/Scrum environments Desirable More ❯

Azure Infrastructure as Code using Terraform and Ansible CI/CD pipeline development with GitLab CI, Jenkins, or GitHub Actions Containerisation and orchestration using Docker and Kubernetes Scripting in Python, Bash, or PowerShell Monitoring and logging with Prometheus, Grafana, and ELK Stack Secure DevOps practices aligned with UK Government and MoD standards Experience working in Agile/Scrum environments Desirable More ❯

projects with senior engineers. What We're Looking For 1-5 years experience in DevOps, DevSecOps, or related engineering roles. Hands-on experience with Linux systems and scripting (Bash, Python, or PowerShell). Familiarity with CI/CD tools (GitHub Actions, Jenkins, CircleCI). Basic understanding of cloud services (AWS, GCP, or Azure). Interest in security principles , threat detection More ❯

to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management) Familiar with Docker, Kubernetes, serverless, and event-driven architectures Comfortable working with both SQL and NoSQL More ❯

to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management) Familiar with Docker, Kubernetes, serverless, and event-driven architectures Comfortable working with both SQL and NoSQL More ❯

in Computer Science or a related field. 7+ years of experience in software development. Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (JavaScript, Python, Ruby). Experience building web applications or desktop applications with technologies such as Electron, tauri, React, Vue.js. Familiarity with CI/CD principles and technologies, including experience with GitHub Actions More ❯

shell scripting skills. Familiarity with network security protocols . Experience deploying and maintaining systems on AWS (EC2, RDS, S3, Lambda). Desirable Skills Programming experience in Java, Go, or Python . Understanding of cross-domain technologies and security models. Background in service management environments and ITIL practices. Proven application of observability patterns and system health metrics. Experience with Microsoft Azure More ❯

infrastructure engineering or systems administration. Strong hands-on expertise with cloud platforms (AWS, Azure, or GCP) and virtualization (VMware, Hyper-V). Proficiency in scripting and automation (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is an advantage. Excellent problem-solving, communication, and documentation skills. Proven experience in team leadership, project management, and high-pressure environments. Sponsorship not More ❯

infrastructure engineering or systems administration. Strong hands-on expertise with cloud platforms (AWS, Azure, or GCP) and virtualization (VMware, Hyper-V). Proficiency in scripting and automation (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is an advantage. Excellent problem-solving, communication, and documentation skills. Proven experience in team leadership, project management, and high-pressure environments. Sponsorship not More ❯

Strong expertise in Microsoft Azure services (Functions, APIM, Event Hub, SQL, Data Lake) Solid understanding of CI/CD methodologies and automated deployment practices Proficiency in scripting (PowerShell or Python) Knowledge of cloud security and FinOps principles Familiarity with git and gitflow version control Experience in agile delivery environments (Scrum or Kanban) Proven track record managing Azure infrastructure and building More ❯

teams working on the ML Software Stack (SDK) Candidate Profile Essential: Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux environments Understanding of CI/CD principles Strong communication skills Desirable Experience using Kubernetes (k8s More ❯

knowledge of AWS/Azure and Azure Virtual Desktop. Experience with configuration management tools, e.g., Ansible (preferred), Puppet, Chef. Familiar with (or ability to learn easily) the following languages: Python, bash scripting, React, Go. Experience with deploying, configuring, and managing cloud architecture and technologies in AWS environments. Experience with web application services such as NGINX, Apache, JBoss. Experience of Test More ❯

Java, Spring Boot and Microservices. Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery. Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern More ❯

e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud services and technologies (AWS, Azure, GCP) for big data processing and platform deployment. Strong knowledge More ❯

engineering projects from architecture to deployment, including ownership of production-grade systems. Deep expertise in ML frameworks and engineering stacks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow). Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++). Strong understanding of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker More ❯

Kubernetes experience is a plus. Experience with at least one major public cloud (AWS, Azure, or GCP), ideally working with big data or database services. Strong programming skills in Python (Java a plus); familiarity with TypeScript or Go is (nice to have.) Experience contributing to open source or working with communities to gather feedback, triage issues, and guide contributors. (Nice More ❯

CD tools (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline). Knowledge of infrastructure-as-code (IaC) tools like Terraform or AWS CloudFormation. Proficiency in scripting and automation using Python, Bash, or similar languages. Exposure to containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes). Basic understanding of monitoring and logging tools (e.g., CloudWatch, ELK Stack). General knowledge More ❯

Continuous Change + Software engineering with exposure to event high performance computing, event driven, big data analytics, machine learning + Program language polyglot (C, C++, C#, Java, Rust, Go, Python) + Enterprise and Solution Architecture + Cloud and On-Premise Networking Ability to effect technological and cultural change towards rapid technology adoption and absorption (for example, "automation first" implementations, making More ❯

and change management systems such as (ServiceNow, Ivanti) Expertise with automated incident response tools such as (Pager Duty, ServiceNow) Expertise with software development frameworks/languages (e.g., Java, PHP, Python, PowerShell) Extensive knowledge of cloud ecosystems (e.g. AWS, Red Hat OpenShift, Oracle Cloud Infrastructure, Microsoft Azure) Knowledge of DevOps tools, such as CI/CD tools (e.g., Azure DevOps, GitHub More ❯

Job Title: Senior Engineer with Node.js and Python or Back End (Java and ideally Kafka) Max rate: £537/Day on Umbrella Location: Croydon (Hybrid) Clearance required: SC Transfer (Active SC only ) Contract Duration: 05 months Experience of Java Experience of Spring framework or equivalent. Knowledge of software design patterns and when to apply them Excellent knowledge of development processes. More ❯

developing and maintaining enterprise-grade systems and applications that enable effective management, reporting, and governance of model risk across the organisation. The successful candidate will combine technical expertise in Python, Django, and modern web frameworks with a passion for delivering high-quality, scalable, and user-centric technology solutions. Key Responsibilities Design, develop, and maintain Python-based applications and graphical user … in both front-end and back-end systems. Support ongoing enhancements to the model risk technology stack and contribute to continuous improvement initiatives. Key Requirements Advanced programming expertise in Python and proficiency in at least one additional language. Proven experience building GUI applications using frameworks such as PyQt5 or PySide. Hands-on experience with Django (ORM, REST framework, views, templates More ❯

Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply MLOps/LLMOps practices with MLflow, Weights & Biases, and Kubeflow. ?? Youll Bring Strong Python skills and experience with LangChain, Transformers, Hugging Face. Solid grasp of LLM behavior, prompt optimization, and data engineering. Familiarity with vector databases (FAISS, Pinecone, ChromaDB). Hands-on with Linux …/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

Engineering practices and API driven design to streamline internal processes, boost efficiency, and deliver innovative solutions. The team's expertise spans a wide range of technologies, including Java and Python based MicroServices, Data Platform services, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US … years of experience delivering multi tier, highly scalable, distributed web applications Experience working with Distributed computing frameworks knowledge: Hive/Hadoop, Apache Spark, Kafka, Airflow Working with programming languages Python , Java, SQL. Working on building ETL (Extraction Transformation and Loading) solution using PySpark Experience in SQL/NoSQL database design Deep understanding in software architecture, object oriented design principles, and … data structures Extensive experience in developing microservices using Java, Python Good experience in Test driven development and automating test cases using Java/Python Demonstrated ability to be proactive, self driven, and make practical trade offs based on business needs, entrepreneurial spirit Excellent verbal and written communication skills BS or MS degree in Computer Science or equivalent Nice to Have More ❯

Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale … to explain technical concepts to non-technical stakeholders. Version Control: Proficiency with version control tools such as Git. Required skills Experience in retraining LLMs on various datasets Conversational AI Python Docker Preferred Skills: Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems. Knowledge of model interpretability techniques and responsible AI practices. Familiarity with MLOps pipelines More ❯

or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical … discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven … experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field OR equivalent experience. Experience in cloud native development, including designing, building, and deploying scalable applications using More ❯