226 to 250 of 2,263 Python Jobs in the UK excluding London

understanding of SQL and relational databasesLinux administration and shell scriptingFamiliarity with network security protocolsExperience with cloud platforms, ideally AWS (EC2, RDS, S3, Lambda)Desirable:Coding experience in Java, Go, Python or similarKnowledge of cross-domain technologiesExperience in service management environmentsPractical application of observability patternsExperience with AzureAdditional Information:Due to the nature of the work, successful candidates will be required to More ❯

the team. The Person: *Strong hands-on experience with AWS services, Infrastructure as Code (Terraform/CloudFormation), and containerisation (Docker, ECS, or Fargate).*Skilled in scripting and automation (Python, Bash, or PowerShell) with a focus on reliability and scalability.*Proven experience supporting large-scale, customer-facing SaaS environments.*Passionate, proactive, and committed to continuous improvement and secure engineering practices.Reference More ❯

the team. The Person: *Strong hands-on experience with AWS services, Infrastructure as Code (Terraform/CloudFormation), and containerisation (Docker, ECS, or Fargate). *Skilled in scripting and automation (Python, Bash, or PowerShell) with a focus on reliability and scalability. *Proven experience supporting large-scale, customer-facing SaaS environments. *Passionate, proactive, and committed to continuous improvement and secure engineering practices. More ❯

ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and More ❯

ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and More ❯

team. What we're looking for: 1+ years' experience as a software developer (Ideally with exposure to both frontend and backend development.) Strong experience in at least one of: Python, JavaScript, Java or C# . Computer Science BSc. Strong educational background, attending a Russell Group University. Basic knowledge of relational databases (e.g. Postgres, MySQL, SQL Server). Familiarity with building More ❯

Hands-on experience with container technologies including Kubernetes and Docker * Proficiency in AWS services such as EC2, ECS, EKS, Lambda, VPC, Route53, S3, RDS, and CloudWatch * Scripting skills in Python and Bash * Understanding of Linux systems and database technologies (e.g., Ubuntu, Apache, PHP, MySQL, PostgreSQL, Nginx) * Experience in planning and executing system integrations and migrations * Proven ability to work effectively More ❯

and commitment to engineering best practice Collaborative mindset and continuous-learning approach Desired Financial services or regulated-industry exposure Docker/Snowpark Streaming tech (Kafka, Event Hub) Collibra integration Python proficiency In return In return, they’re offering a fantastic package including £100k salary plus 10% bonus, 9% pension, LTIP and hybrid working (3 days per week from their city More ❯

to Azure , ideally within a regulated or financial services context. Deep technical knowledge of data architecture, ETL/ELT, and data modelling . Excellent coding skills in SQL and Python , with experience implementing DevOps for data and CI/CD. Strong leadership and stakeholder engagement - able to translate technical progress into business outcomes. Strategic thinker with a delivery mindset and More ❯

evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git More ❯

to operate within a GCP-aligned environment Hands-on CI/CD tooling — Jenkins/GitHub Actions/GitLab IaC skills (Terraform, CloudFormation, Ansible, or equivalent) Solid scripting capability (Python, Bash, etc.) Practical understanding of secure-by-design and cloud security practices Ability to work on-site for 3 days a week (mandatory) You’ll be joining a programme where More ❯

and lead the development of data processing workflows. From a technical standpoint you must possess: Extensive Databricks experience including Unity Catolog and Spark SQL Strong programming skills, preferably in Python and SQL Strong knowledge and experience in Azure, including working with Azure Data Factory and Azure Storage Accounts Experience working with Terraform to define, deploy, and manage cloud infrastructure as More ❯

and champion best practices. What We’re Looking For: We’d love to hear from you if you have: 2–3 years' experience programming in high-level languages (e.g. Python, C++, C#, Java, TypeScript) – gained professionally, academically, or through relevant personal projects. An interest in areas such as graphics, user experience, and cross-platform development. Familiarity with tools such as More ❯

win new projects The brief in short: Tech Lead/Engineering Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy More ❯

defence projects. Key Requirements for the Cloud Engineer Role: Experience working in multi-disciplinary teams. A history with configuration management, infrastructure provisioning and automation tools (Such as PowerShell, Bash, Python, Ruby, Go, or Groovy). Proficient in modern Continuous Delivery processes. Hands-on experience applying best practices and architectural patterns across infrastructure and application components. Expertise with Cloud Platforms (AWS More ❯

and willingness to share knowledge within a team Desirable Technologies Automation tools: Ansible, Puppet Red Hat ecosystem: Satellite 6, OpenShift 3/4, RHEL Atomic/CoreOS Scripting: Bash, Python, Git Cloud: AWS Solid understanding of command line interfaces (CLI) Security Clearance Requirements Due to the nature of the work, candidates must be eligible for national security clearance . To More ❯

as it grows Writing clean code and instilling best practices wherever possible Knowledge and Experience: Strong software development skills with Java and ideally any of the following: JavaScript/Python/C#/C++/Kotlin Strong grasp of data structures and algorithms such as HashMaps/HashTables Knowledge of "under the bonnet" areas such as garbage collection, memory and More ❯

as it grows Writing clean code and instilling best practices wherever possible Knowledge and Experience: Strong software development skills with Java and ideally any of the following: JavaScript/Python/C#/C++/Kotlin Strong grasp of data structures and algorithms such as HashMaps/HashTables Knowledge of "under the bonnet" areas such as garbage collection, memory and More ❯

at least 2 years in a leadership role (team lead, tech lead, or manager). Demonstrated success in delivering SaaS applications. Modern web technology stacks (e.g., React, Node.js, Go, Python, PostgreSQL) APIs and communication protocols (REST, WebSockets, MQTT) Cloud and DevOps tools (AWS services such as Lambda, ECS, S3, RDS, along with Docker, Terraform, GitHub, Jenkins, etc.) Comfort in working More ❯

Uphold and advocate for strong engineering, testing, and security principles. Technology Exposure: You will have the opportunity to work with a modern and varied tech stack, including: Backend: Java, Python Frontend: TypeScript, React, Angular, Vue Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes Data: Elasticsearch, Neo4J About You (The Ideal Candidate): A technically curious and adaptable software engineer with experience across modern More ❯

at least 2 years in a leadership role (team lead, tech lead, or manager). Demonstrated success in delivering SaaS applications. Modern web technology stacks (e.g., React, Node.js, Go, Python, PostgreSQL) APIs and communication protocols (REST, WebSockets, MQTT) Cloud and DevOps tools (AWS services such as Lambda, ECS, S3, RDS, along with Docker, Terraform, GitHub, Jenkins, etc.) Comfort in working More ❯

Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous involvement in reporting and analytics for CRM More ❯

to reach out. Let's engage in a conversation to explore the potential for a strong alignment. Strong experience in JavaScript, extensive experience in React specifically. Extensive experience with Python, ideally including geospatial data processing . Experience with AWS, serverless and containerization. Proven commercial development experience delivering client requirements. Familiarity with automated tooling as part of continuous integration, such as More ❯

Terraform, Ansible Platforms: Kubernetes (EKS), ECS, Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang Strong networking fundamentals, especially OSI layer 3+ and distributed performance optimisation. Experience operating global/multi-region cloud infrastructure, navigating cost, risk, and data sovereignty. Comfort working with More ❯

metadata backup and restore strategies using Gearset Essential Skills & Experience Salesforce Platform Knowledge: Apex, Lightning Web Components, Visualforce. DevOps Tools: Gearset, Jenkins, Git, Salesforce CLI, DevOps Center. Automation & Scripting: Python, Shell, Salesforce DX. Version Control: Git workflows, branching strategies. CI/CD: Pipeline design, deployment automation. Security: Role-based access, metadata audits. Certifications: Salesforce Certified DevOps Engineer, Platform Developer I More ❯