9 of 9 Data Science Jobs in Dundee

Smart Services Engineering - Graduate Data Science/Analyst page is loaded Smart Services Engineering - Graduate Data Science/Analyst Apply locations DUNDEE, GBR time type Full time posted on Posted 9 Days Ago job requisition id R About NCR Atleos NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated … employees optimize the branch, improve operational efficiency, and maximize self-service availability for financial institutions and retailers across the globe. Title: Smart Services Engineering - Graduate Data Science Engineer Grade: 9 Location: Dundee, UK Smart Services Engineering - Graduate Data Science Engineer We are looking for Graduates! Our University Hiring vision is to hire and nurture talented graduates … Engineering team where you will be offered mentorship and resources to deliver company value and build your career. Who you are We seek STEM graduates with a background in Data Science or related fields who are passionate about data manipulation and analysis. You will work on challenging global projects requiring smart solutions, supported by experienced team members. More ❯

s 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 … services (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 ❯

s 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 … services (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 ❯

s 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 … services (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 ❯

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 … services (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 to More ❯

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 … Python 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 only More ❯

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 … Python 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 Purple More ❯

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 … Python 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 Purple More ❯

arisen in the Engineering organization for Graduate Software Engineer in our Dundee office. We are seeking a dynamic, self-motivated, and tenacious individual educated to degree level in Computer Science, Electronics or other Engineering or Science with a keen interest in software. The successful applicants will work as part of a highly motivated team striving to meet all … or charges associated with unsolicited resumes. Similar Jobs (3) Graduate FPGA Engineer locations DUNDEE, GBR time type Full time posted on Posted 30+ Days Ago Smart Services Engineering – Graduate Data Science/Analyst locations DUNDEE, GBR time type Full time posted on Posted 30+ Days Ago Graduate Software/Firmware Engineer locations DUNDEE, GBR time type Full time More ❯