5 of 5 Permanent AWS Jobs in Dundee

least one back?end language (Python, Java, C#, Node). Strong SQL and familiarity with relational & NoSQL databases. Experience designing and consuming REST APIs. Hands?on with cloud services (AWS) and Docker containers. Solid grasp of secure?coding best practices (OWASP Top?10). Mindset & Behaviours Collaborative: thrive in cross?functional teams and build strong relationships with peers. Communicative: speak More ❯

least one backend language (e.g. Python, Java, C#, Node.js) Strong SQL knowledge and familiarity with both relational and NoSQL databases Experience designing and consuming REST APIs Practical experience with AWS and Docker would be advantageous This role is hybrid, with a few days per week expected in the Dundee office. On offer is a salary of More ❯

of systems programming concepts: memory management, concurrency, performance optimization. Familiarity with ML system architecture and computational requirements (model serving, training infrastructure, data processing pipelines). Experience with cloud platforms (AWS preferred) and distributed systems. Proficiency with containerization (Docker) and orchestration tools (Kubernetes). Strong experience with version control systems (Git) and CI/CD pipelines. Understanding of database systems and More ❯

RESTful API design, and microservices architecture. Database & Cloud Mastery: Solid understanding of relational databases (SQL Server, PostgreSQL, MySQL) and ORM frameworks (Entity Framework Core), plus experience with cloud platforms (AWS, Azure, GCP). Technical Leadership: Demonstrated ability to set technical direction, contribute to architectural design, and conduct thorough code reviews. Project & Agile Acumen: Significant experience leading complex software development projects More ❯

ensure top-tier performance. Collaborating with cross-functional teams (data scientists, software engineers, product managers) to turn business needs into technical solutions. Building and maintaining scalable ML pipelines using AWS (SageMaker, EC2, S3, Lambda, Rekognition). Staying up to date with the latest in ML and computer vision research and applying new techniques to real-world challenges. Contributing to the … a strong ML focus. Solid understanding of deep learning architectures (CNNs, RNNs, Transformers). Proficiency in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn. Strong experience with AWS services and cloud-native development. A proactive, collaborative mindset with a passion for learning and innovation. Bonus Points For Familiarity with MLOps principles. Background in distributed computing or large-scale More ❯