76 to 100 of 400 GitHub Jobs in London

Doing: Designing and implementing GCP infrastructure (Compute Engine, GKE, Cloud Run, Pub/Sub, Cloud Functions, BigQuery, etc.). Building CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Automating infrastructure with Terraform (or equivalent IaC tools). Implementing monitoring, logging, and alerting using Stackdriver/Cloud Monitoring. Ensuring security, scalability, and high availability across cloud More ❯

Responsibilities Design and implement secure, scalable AWS cloud architectures Drive Infrastructure as Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD pipelines with Jenkins, GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using More ❯

Responsibilities Design and implement secure, scalable AWS cloud architectures Drive Infrastructure as Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD pipelines with Jenkins, GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using More ❯

Responsibilities Design and implement secure, scalable AWS cloud architectures Drive Infrastructure as Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD pipelines with Jenkins, GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using More ❯

Responsibilities Design and implement secure, scalable AWS cloud architectures Drive Infrastructure as Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD pipelines with Jenkins, GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using More ❯

focus on Azure cloud technologies. Strong background in software development (e.g., C#, Java, Python, or similar). Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, or similar). Strong understanding of monitoring, logging, and observability tools (e.g., AppInsights, ELK, Prometheus, Grafana). Solid knowledge of test-driven development and experience embedding TDD in More ❯

using kubeadm and Helm. Programming : Python or Go for ML automation workflows. Containerization : Docker and containerized application deployment. Cloud : AWS experience supporting ML workloads. CI/CD & Automation : ArgoCD, GitHub Actions, Infrastructure-as-Code (Terraform). Monitoring & Observability : Prometheus, Grafana, cloud-native stacks. ML Lifecycle: Production experience with experimentation, training, deployment, versioning, and monitoring. Reliability & Support : On-call participation, incident More ❯

in non-functional testing, including performance, security, and resilience testing. Capability in DevOps testing, with the ability to embed test automation into CI/CD pipelines using Azure DevOps, GitHub Actions, or similar. Experience of using test automation and load testing tools (Postman, JMeter, Locust, Selenium, or ReadyAPI) Experience of monitoring/logging platforms such as Azure Monitor, Application Insights More ❯

validation, and API test automation. Background in non-functional testing, including performance, security, and resilience testing. Ability to embed test automation into CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools. Experience with test automation and load testing tools like Postman, JMeter, Locust, Selenium, or ReadyAPI. Knowledge of monitoring/logging platforms such as Azure Monitor, Application More ❯

management . Hands-on experience with secrets management solutions (Vault, Conjur, AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices More ❯

management . Hands-on experience with secrets management solutions (Vault, Conjur, AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices More ❯

align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have) Front ends (for internal tools) : Streamlit/Gradio/basic React Must-have More ❯

through intelligent, predictive, and personalized digital interactions.Some Technologies We Work With:Python primarily, with bits and pieces of typescript and scalaGCP, AWS, Azure - in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating More ❯

progressive mobile apps PostgreSQL for our database, using some of its advanced geographic modelling capabilities Metabase for analysis and self-serve data exploration Redis for caching and task queues GitHub , Codeship and Heroku for seamless code review, integration and deployment Claude Code for agentic coding AWS S3 , CloudFront and Lambda for storage and content delivery Cypress for end-to-end More ❯

looking for Strong experience delivering enterprise integrations, APIs, and event-driven middleware. Deep familiarity with Java, Spring, Hibernate, SQL, JavaScript, Unix - Solaris, Linux, IDE - Eclipse or IntelliJ, Git and GitHub, Node JS. Hands-on experience integrating with Finance ERPs (Dynamics 365 and SAP are desirable), HR, and third-party SaaS platforms. Proficient in data transformation and complex data handling (JSON More ❯

engineering guidelines. Contribute to the development and enhancing our systems Guide and educate other teams about effective ML practices and MLOps strategies. Systems: Google Cloud Platform services (Vertex AI), GitHub You'll be a successful Machine Learning Engineer at OVO if you Excellent production-level programming skills in Python, including experience with software testing (unit, integration, system), and knowledge of More ❯

of modern frontend frameworks like React, Angular, or Blazor/Razor Familiarity with cloud platforms such as Microsoft Azure or AWS Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or Azure DevOps Skilled in version control using Git and working with remote repositories (e.g., GitHub, GitLab) Comfortable working in agile, fast-paced team environments Nice-to More ❯

of modern frontend frameworks like React, Angular, or Blazor/Razor Familiarity with cloud platforms such as Microsoft Azure or AWS Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or Azure DevOps Skilled in version control using Git and working with remote repositories (e.g., GitHub, GitLab) Comfortable working in agile, fast-paced team environments Nice-to More ❯

to power identity lifecycle management systems. Own the end-to-end software lifecycle: design, code, deploy, and operate. Expertise in building and automating CI/CD pipelines with Jenkins, GitHub Actions, or similar tools. Strong skills in Python, JavaScript/TypeScript, and/or Java. IAM Knowledge of federated identity systems and IGA platforms (e.g., Okta, Azure AD, SailPoint IdentityIQ More ❯

to power identity lifecycle management systems. Own the end-to-end software lifecycle: design, code, deploy, and operate. Expertise in building and automating CI/CD pipelines with Jenkins, GitHub Actions, or similar tools. Strong skills in Python, JavaScript/TypeScript, and/or Java. IAM: Knowledge of federated identity systems and IGA platforms (e.g., Okta, Azure AD, SailPoint IdentityIQ More ❯

IaC) with Terraform and Bicep. Implement and advocate DevOps practices like CI/CD, GitOps, infrastructure automation, and environment consistency. Build and maintain deployment pipelines using Azure DevOps and GitHub Actions. Enhance platform stability with self-healing patterns and automated remediation. Enforce Azure governance through Management Groups, Policies (including DENY effects), RBAC, and tagging strategies. Collaborate with security teams to More ❯

teams Infrastructure Engineering & Automation: Design and deploy scalable Azure infrastructure using Infrastructure as Code (ARM templates, Bicep, Terraform) Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions Integrate monitoring and alerting via Azure Monitor, Log Analytics, and Application Insights Data Provisioning & Governance: Optimise data pipelines and storage solutions (e.g., Azure Data Factory, Synapse, Blob Storage) for More ❯

RestAssured (BDD), Postman (for API testing). Experience developing test automation frameworks from scratch. Strong knowledge of microservices architecture and testing challenges. Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Experience with SQL and relational database testing. More ❯

consult, advise, architect and estimate project work. Strong analysis, requirements gathering and data modelling. Solid data platform engineering experience in notebooks, pipelines, python and SQL. Working knowledge of DevOps, GitHub, CI/CD, and infrastructure as code. Excellent written, verbal and presentation skills. Must live within 1 hour commute of SE1. (London Bridge) Microsoft certifications. Experience across sectors such as 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 ❯