101 to 125 of 685 GitHub Jobs in the UK excluding London

backend development and data processing. Strong understanding of SQL, relational databases, and query optimization. Experience working with cloud platforms (AWS). Familiarity with Git and CI/CD workflows (GitHub Actions preferred). Experience of working in the energy sector is desirable. Please note that is role is 5 days per week in their central Bristol office - this is non More ❯

backend development and data processing. Strong understanding of SQL, relational databases, and query optimization. Experience working with cloud platforms (AWS). Familiarity with Git and CI/CD workflows (GitHub Actions preferred). Experience of working in the energy sector is desirable. Please note that is role is 5 days per week in their central Bristol office - this is non More ❯

backend development and data processing. Strong understanding of SQL, relational databases, and query optimization. Experience working with cloud platforms (AWS). Familiarity with Git and CI/CD workflows (GitHub Actions preferred). Experience of working in the energy sector is desirable. Please note that is role is 5 days per week in their central Bristol office - this is non More ❯

backend development and data processing. Strong understanding of SQL, relational databases, and query optimization. Experience working with cloud platforms (AWS). Familiarity with Git and CI/CD workflows (GitHub Actions preferred). Experience of working in the energy sector is desirable. Please note that is role is 5 days per week in their central Bristol office - this is non More ❯

React.js (including Next.js, TypeScript, Tailwind) Backend: .NET Core (C#), exposing RESTful APIs Database: Microsoft SQL Server and MongoDB Infrastructure: AWS (ECS with Fargate), provisioned using Terraform. CI/CD: GitHub Actions For an immediate MS Teams interview please send your cv to Peter Bibby on the email address below... More ❯

on expertise with Azure and Google Cloud Platform Strong background with Infrastructure as Code (Terraform, ARM Templates, etc.) Proven track record with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, ArgoCD) Scripting and automation (Python, Shell, Perl, or similar) Knowledge of data centre ops, networking, IT security, and observability tools (Prometheus, Grafana, ELK, Datadog) Excellent communication and stakeholder management More ❯

and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re Looking For Strong programming background (Java or TypeScript preferred) Experience designing scalable, resilient cloud infrastructure Familiarity More ❯

and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re Looking For Strong programming background (Java or TypeScript preferred) Experience designing scalable, resilient cloud infrastructure Familiarity More ❯

and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re Looking For Strong programming background (Java or TypeScript preferred) Experience designing scalable, resilient cloud infrastructure Familiarity More ❯

practices - testing, deployment, and configuration as code. Experience developing containerised services and cloud-based data applications. Proficiency in Terraform or other IaC tools. Familiarity with CI/CD pipelines (GitHub Actions preferred). Excellent communicator - able to work closely with technical and business stakeholders. Nice-to-haves: Experience with Kubernetes , Airflow/Prefect , or data observability tools (Monte Carlo, Great More ❯

and SQL in production environments Proven track record developing data pipelines using Spark, BigQuery, and cloud tools (preferably Google Cloud) Familiarity with CI/CD and version control (git, GitHub, DevOps workflows) Experience with unit testing (e.g., pytest) and automated quality checks Understanding of agile software delivery and collaborative development Nice to Have: Experience with bioinformatics or large-scale biological More ❯

Strong grasp of ML algorithms: regression, classification, clustering, deep learning Awareness of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) Skilled in using AI tools like GitHub Copilot and prompt engineering for development tasks Experience with orchestration tools such as AI Foundry or Semantic Kernel Exposure to automated testing and evaluation of AI outputs Proficiency in Python More ❯

with less stress. What you’ll do * Solve core infrastructure and systems challenges * Build and maintain REST APIs * Improve CI/CD for faster, repeatable releases * Modernise TeamCity into GitHub Actions * Transition .NET APIs into serverless JS & Lambda * Build provisioning tools and improve developer productivity * Shape AI pipelines for smarter reviews and automation What you'll get * Freedom to innovate More ❯

/or GraphQL. Familiarity with containerisation and cloud deployment (Docker, Kubernetes/EKS/GKE or equivalent). Version control with Git and experience of CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.). Nice to have: Experience with async frameworks (FastAPI, Celery, or asyncio-based work). Exposure to event-driven architectures, message queues (Kafka, RabbitMQ) or More ❯

web development best practises, modern design principles, and continuous integration workflows.Familiarity with agile practises and experience in agile software development environments.Proficient in modern software development tools (e.g., Git/GitHub, DevOps tools) with a commitment to early commits and frequent deployments.Preferred Qualifications:Experience with Docker or containerized applications, particularly multi-container architecture.Experience with biological or scientific data (e.g., genomics, transcriptomics More ❯

to haves. If you can check off a number of these, we would love to talk to you: Good understanding of one or more of the following areas: o GitHub Actions. o Terraform. o Docker and Helm. o Any of: ArgoCD, Crossplane, Karpenter, Kyverno. Bash and Linux. Experience building and maintaining CI/CD pipelines in cloud environments. Strong knowledge More ❯

on-premises environments) Azure architecture experience Strong hands-on knowledge of Azure and AWS services across IaaS, PaaS, and SaaS Proficient with DevOps toolchains and automation (e.g. Azure DevOps, GitHub Actions, AWS CodePipeline, Terraform) Able to effectively plan, deliver, and troubleshoot complex cloud architectures Demonstrated leadership in driving cloud adoption and enforcing standards/best practices Certifications: Microsoft Azure Solutions More ❯

clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A/B testing), data governance, ethical AI Experience That Helps 610+ years in data science/data engineering with tangible productisation or algorithm More ❯

DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling More ❯

techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation, Terraform and CDK for infrastructure configuration Our web products are More ❯

DevOps practices, and support incident response and service improvement initiatives. Technical Skills Azure Tenant Ansible Containerisation (Docker/Podman) Powershell Python Linux Hypervisor (Proxmox) PKI zScaler DNS IP management GitHub CI/CD pipelines If you're interested in the above, apply or reach out to Reasonable Adjustments: Respect and equality are core values to us. We are proud of More ❯

testing. Desirable skill set & to give you an idea of other things you d gain experience in: - Experience with CI/CD pipelines and integrating automated testing (e.g., Jenkins, GitHub Actions, Azure DevOps). - Familiarity with cross-browser and cross-device testing tools (e.g., BrowserStack, Sauce Labs). - Exposure to BDD/TDD approaches (e.g., Cucumber, JUnit, TestNG). So More ❯

testing. Desirable skill set & to give you an idea of other things you’d gain experience in: - Experience with CI/CD pipelines and integrating automated testing (e.g., Jenkins, GitHub Actions, Azure DevOps). - Familiarity with cross-browser and cross-device testing tools (e.g., BrowserStack, Sauce Labs). - Exposure to BDD/TDD approaches (e.g., Cucumber, JUnit, TestNG). So More ❯

hands-on experience in SQL, Python, and data warehousing best practices . Proven expertise with Azure (data services, infrastructure as code, CI/CD pipelines). Experience deploying via GitHub/Azure DevOps or similar tools. Ability to work with structured and unstructured data. Strong problem-solving skills and the ability to influence across technical and non-technical teams. Excellent More ❯

hands-on experience in SQL, Python, and data warehousing best practices . Proven expertise with Azure (data services, infrastructure as code, CI/CD pipelines). Experience deploying via GitHub/Azure DevOps or similar tools. Ability to work with structured and unstructured data. Strong problem-solving skills and the ability to influence across technical and non-technical teams. Excellent More ❯