1,551 to 1,575 of 2,967 CI/CD Jobs in England

performance APIs for real-time financial transactions Improving scalability, security, and resilience across Azure Influencing architectural decisions and mentoring junior developers Tech Stack C# / .NET 6+ ASP.NET Core / Web APIs Azure (App Services, Functions, Service Bus, Azure SQL) SQL Server Entity Framework Core CI … / CD (Azure DevOps) Docker (nice to have) React or Angular exposure is a bonus, not a must What They're Looking For Strong commercial experience as a Senior Software Engineer Deep knowledge of C# and the .NET ecosystem Experience building and consuming APIs Solid understanding ...

Permanent £70,000 - £75,000 (DOE) Senior Java Developer needed for a permanent career opportunity based in Leeds (Hybrid). Start ASAP ideally January / February 2026 . Hybrid Working - 2 days / week remote (WFH), and 3 days / week working on-site from the Leeds … Gateway- ECS- CloudWatch. Amazon Step Functions to implement complex workflows . Databases Experience with SQL and NoSQL databases such as DynamoDB CI / CD - Building and managing continuous integration. Supporting the development + operation of Java software solutions with secure tools and environments. Designing, developing ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...

will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI / ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and / or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering ...