10 of 10 Remote TDD Jobs in Scotland

full tech stack. The company do place a really strong importance on doing software development correctly (from SOLID principles, Design Patterns, Restful API's, Unit Testing, Test Driven Development ), Engineers that embody these practices would fit in well. You'll ideally have commercial experience with most of the following; ** Modern .Net (C#, MVC, .Net Core, Web More ❯

full tech stack. The company do place a really strong importance on doing software development correctly (from SOLID principles, Design Patterns, Restful API's, Unit Testing, Test Driven Development ), Engineers that embody these practices would fit in well. You'll ideally have commercial experience with most of the following; ** Modern .Net (C#, MVC, .Net Core, Web More ❯

lives. You'll: Design, develop, test, and deploy frontend services. Build and deploy containerized applications with Docker and Kubernetes. Apply Domain-Driven Design (DDD) and Test-Driven Development (TDD) principles. Collaborate closely with Product Owners, Architects, and Quality Engineers. Integrate with internal systems and third-party APIs to create seamless user experiences. Contribute to architectural More ❯

external integrations, authentication (JWT/OAuth). Software Engineering: Building production AI/ML systems, collaborative development, service/serverless architectures. Development Practices: Agile (Scrum/Kanban), TDD, pair programming, infrastructure-as-code, monitoring tools (Grafana). This role falls outside of IR35 and is hybrid working with the expectation to attend the Edinburgh or Glasgow office as More ❯

Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi More ❯

Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi More ❯

Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi More ❯

best practices and software fundamentals and are looking for Engineers that have worked in a similar environment. They're also very focused on testing, where you'll regularly follow TDD, so they're looking … for Engineers who value and understand the importance of quality code. Ideal Experience You'll ideally have experience with most of the following; Java (ideally SpringBoot) Microservices Test Driven Development Front end Development (HTML, CSS and JavaScript) Working with Databases (ideally PostgreSQL) Experience with the following is highly desirable; DevOps; Docker and Kubernetes Cloud Services (AWS More ❯

tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with multi-modal models, RLHF , or edge deployments . If you possess the above technical skills and hands-on experience, please apply today! McGregor More ❯

debugging Proven experience building and deploying AI/ML systems in the cloud ( AWS ) Solid grasp of CI/CD , infrastructure as code (CDK) , and Agile methodologies Familiarity with TDD , pair programming, and modern development practices Desirable: Advanced fine-tuning techniques (LoRA, QLoRA) RLHF, multi-modal AI, or edge deployment experience ML experiment tracking (MLflow, Weights & Biases) and A More ❯