7 of 7 Data Pipeline Jobs in Dundee

optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this, then please email your CV More ❯

tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and … optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯

tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and … optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. #J-18808-Ljbffr More ❯

optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note we can only consider candidates who can commit to at least one day per week in Dundee. Bright More ❯

optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is hybrid, based out of Dundee, Scotland. Flexible arrangements are on offer, but we can More ❯

optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. 4+ years of experience in MLOps … DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., Knowledge of data engineering concepts (e.g., ETL, data pipelines). Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry. More ❯

take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want. About the role We are seeking two Data Developers to join the Customer and Colleague Engagement Centres (CCECs), Insight and Data Development team. In this role, you will design and execute data development … have meaningful management information to drive our business plans and enhance experiences for both customers and colleagues. This is an essential role that involves creating scalable and efficient data pipelines, implementing data models, and integrating diverse data sources to enable the business to extract valuable insights and make data-driven decisions. This … position is currently based at our UK CCEC in Dundee. We are looking for individuals with strong programming skills, expertise in data modelling and ELT processes, experience with database management, excellent analytics and communication abilities, and a keen attention to detail. You will be responsible for Assisting in the development, automation, and maintenance of management information for the More ❯