Top Software Engineer Jobs in Edinburgh

The role involves developing and maintaining software for a cloud-based platform, focusing on robust architecture and high-load services for video monitoring applications.

The Software Engineer will develop and integrate product features, design system architecture, mentor colleagues, and work in an Agile environment to enhance the travel management platform.

Join Rockstar Games as a Senior Software Engineer (C++) focused on enhancing game security through anti-cheat and anti-piracy solutions, debugging, and performance profiling. Collaborate with cross-functional teams to ensure quality and integrity of online experiences.

As a Software Engineer II, you will enhance Kaluza's API platform, focusing on delivery, developer experience, reliability, and API evolution within a collaborative team.

Develop and maintain high-volume exchange connectivity software, work within an agile team, write efficient code, and mentor team members.

Join the Kaluza engineering team to build scalable frontend features for the Energy Retail platform using TypeScript and React, focusing on user experience and system performance.

As a Software Engineering Intern, you will design, develop, and test software features, collaborate with teams, and gain industry experience.

Join the Sportsbook engineering team to enhance core applications, focusing on performance and developer experience, while collaborating across teams.

The Senior Software Engineer will design and build backend services for health data, improve reliability, and deliver robust solutions to enhance patient care.

The Senior Software Engineer will develop systems for compliance in driving operations, work with diverse technologies, and mentor junior team members.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer on the Platform team, you'll build and maintain complex end-to-end systems, participate in product decisions, and collaborate closely with various stakeholders to optimize performance and infrastructure.

As a Software Engineer on the macOS team, you will build and scale the macOS app, making impactful engineering decisions and writing production code.

The Software Engineer will lead key engineering decisions, actively ship production code, participate in product discussions, and enhance existing app architecture for the iOS app.

The role involves managing data collection for model training, extending cloud infrastructure, and collaborating on dataset roadmaps, seeking to scale data operations effectively.

Lead the architecture of the developer ecosystem at Samsara, focusing on large-scale data streaming systems, serverless computing, and API management. Drive technical vision and mentorship for engineering teams, ensuring consistency and scalability in solutions related to transport, construction, and utilities.

The Test Automation Engineer (SDET) will design, develop, and maintain automated test scripts, ensure software quality, and perform various types of testing in a collaborative environment.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train LLMs to produce production-grade code by comparing and ranking snippets, repairing and refactoring AI-generated code, and injecting reviewer feedback into the RLHF pipeline. Provide clear written justifications and spot logic, performance, and security issues while working remotely as a 1099 contractor.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.