2,451 to 2,475 of 3,491 CI/CD Jobs in the UK

guiding clients through digital transformation and modern engineering practices. Manage and mentor engineering teams, driving excellence across delivery, testing, and operations. Apply infrastructure-as-code (IaC), CI / CD, and modern cloud-native practices to accelerate delivery and reliability. Collaborate closely with product, design, and data experts to bring complex ideas to life. Act as More ❯

with backlog grooming, release planning, and roadmapping Strong stakeholder management and cross-functional team coordination Technical Acumen Familiarity with software development lifecycle (SDLC) Understanding of DevOps, CI / CD pipelines, and cloud platforms (e.g., AWS, Azure) Ability to translate technical requirements into business outcomes Tools & Platforms Proficiency in Agile tools like JIRA, Confluence, Trello, or More ❯

integrations across all platforms. Design and implement Service-Oriented Architecture, API gateways, and scalable integration strategies. Build and optimise multi-cloud infrastructure Azure, AWS, GCP, manage CI / CD pipelines, and apply Infrastructure as Code Ensure security and compliance by implementing CIAM flows, and adhering to ISO 27001 standards. Develop resilient architectures for retail and More ❯

used by customers. Plan, execute and document manual tests for new and existing functionality. Write, execute and maintain automated UI tests (C# with Selenium WebDriver) and API tests (ReadyAPI / Postman). Work with Developers to test user stories as they’re being built, providing fast and actionable feedback. Log and track defects in Azure DevOps, helping the team … analytical skills. Excellent attention to detail and the ability to assess priorities logically. Bonus points for: Experience with performance or load testing (JMeter). Exposure to CI / CD environments and build pipelines in Azure DevOps. Knowledge of Microsoft Dynamics 365 or the Power Platform. ISTQB Foundation certification. Why Mercury At Mercury, we pride ourselves … Plan Critical Illness Cover Electric Car Vehicle Scheme 4% Employer Pension Contribution 25 days holiday per year 1 full extra day “free holiday” on your Birthday Free parking Buy / sell holiday scheme Increased holiday entitlement based on length of service Location At Mercury, we believe in the power of face-to-face collaboration. That’s why we encourage More ❯

integrations across all platforms. Design and implement Service-Oriented Architecture, API gateways, and scalable integration strategies. Build and optimise multi-cloud infrastructure Azure, AWS, GCP, manage CI / CD pipelines, and apply Infrastructure as Code Ensure security and compliance by implementing CIAM flows, and adhering to ISO 27001 standards. Develop resilient architectures for retail and More ❯

and Microservices Architecture AWS services (EC2, RDS, S3, EKS, CloudFront, etc.) Works well independently and as part of a close team Nice to have: Experience with CI / CD, Kafka, ELK stack, NoSQL, Spring Security, OAuth2, or front-end tech (React, React Native). About You You’re the kind of developer who: • Loves solving More ❯

PAD. * Advanced experience with Azure integration tools - API Management, Service Bus, Logic Apps, Functions, and Key Vault. * Expertise in DevOps or GitHub pipelines, environment management, and CI / CD automation. * Excellent grasp of security principles including least privilege, data protection, and secrets management. * Confident communicator able to produce clear documentation and present architectural decisions to More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

PAD.* Advanced experience with Azure integration tools - API Management, Service Bus, Logic Apps, Functions, and Key Vault.* Expertise in DevOps or GitHub pipelines, environment management, and CI / CD automation.* Excellent grasp of security principles including least privilege, data protection, and secrets management.* Confident communicator able to produce clear documentation and present architectural decisions to More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

thrives in environments where reliability, scale, and impact truly matter. At Rightmove, you'll join a close-knit, collaborative AI team that's developing, shipping and operating live ML / AI services that help Rightmove deliver exceptional experiences and value to consumers, our partners and all our stakeholders across the UK property market. You'll be at the heart … reproducibility, and robustness. Automating feature engineering and data pipeline processes, ensuring reproducibility and auditability. Implementing monitoring and observability to detect drift, bias, and performance degradation, and setting up rollback / recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker / Kubernetes and workflow orchestration tools (Airflow … Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost / latency trade-offs). Monitoring deployed solutions in production and automating retraining as needed. Sharing knowledge across the data and AI community at Rightmove. We're looking for someone More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

Contribute to a 5-year architectural refresh, evolving systems to event-driven microservices. Mentor engineers through design reviews, pairing, and best-practice development. Maintain and improve CI / CD pipelines, test automation, and production reliability. What you'll bring Proven experience building and running distributed systems at scale. Deep fluency in modern programming languages and More ❯

and cloud deployments. We are also looking for this position to lead initiatives enhancing our processes and infrastructure. The areas for these improvements could be our CI / CD pipelines, our data monitoring capabilities, or our feature stores. We are always looking for new senior engineers to use their experience to promote best practices amongst … can. Requirements Proven experience as a software or data engineer in complex production environments. High proficiency in Python, including software development standards and knowledge of the Python data science / engineering ecosystem (e.g. Numpy, Pandas). Strong command of Linux, containers (Docker), and infrastructure as code for cloud deployments (AWS preferred). Comfortable leading initiatives and mentoring others. Experience More ❯

and cloud deployments. We are also looking for this position to lead initiatives enhancing our processes and infrastructure. The areas for these improvements could be our CI / CD pipelines, our data monitoring capabilities, or our feature stores. We are always looking for new senior engineers to use their experience to promote best practices amongst … can. Requirements Proven experience as a software or data engineer in complex production environments. High proficiency in Python, including software development standards and knowledge of the Python data science / engineering ecosystem (e.g. Numpy, Pandas). Strong command of Linux, containers (Docker), and infrastructure as code for cloud deployments (AWS preferred). Comfortable leading initiatives and mentoring others. Experience More ❯

bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI / CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. … You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI / ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps More ❯

with minimal oversight. Must-Have Qualifications: Proven experience as a Senior Full Stack Engineer with expertise in either .NET or Java and React. Strong understanding of CI / CD practices; experience with GitHub and GitHub Copilot integration is a plus. Cloud-agnostic mindset with the ability to work across various platforms. Excellent communication skills and More ❯

CE Developer – Permanent Salary: £70,000 to £95,000 per annum - Benefits - Healthcare options – Hybrid – Bonus! Location: UK-Wide Offices (London, Bristol, Birmingham, Manchester, Blackpool, Newcastle)| Hybrid working / 2-3days Remote Working We are excited to be offering this opportunity for a talented Senior Dynamics 365 CE Solutions Developer to join my clients rapidly expanding cloud team. … SDK, C#, Visual Studio and Team Foundation Server. Full implementation lifecycle experience of CRM based programmes within Microsoft Dynamics 365 and the Power Platform. Experience with Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. A passion for delivering according to an agile methodology, planning projects and releases in sprints and writing Epics, Features More ❯