1,451 to 1,475 of 2,764 CI/CD Jobs in the UK excluding London

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 ...

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 ...