Top AI Jobs in Manchester

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

Join PQShield's team to develop RISC-V MCU subsystems with advanced post-quantum cryptography, collaborating on innovative semiconductor solutions.

As an Intermediate Frontend Engineer, you will develop UI for GitLab's AI discovery platform, collaborate with teams, and maintain code quality.

The Chief Engineer leads engineering efforts for a large-scale technology transformation, ensuring technical assurance, solution delivery, and engineering governance.

Design and implement services for an inference platform, focusing on high-throughput and low-latency workloads while optimizing performance through cutting-edge technologies.

In this role, you'll ensure the reliability and performance of the AI Studio inference platform, involving extensive work with telemetry pipelines, Kubernetes, and resilience in infrastructure design.

The AI Integration Engineer will design and deploy AI agents, optimize large language models, develop scalable backend systems, and collaborate with teams to enhance customer experiences.

Design and deploy intelligent AI agents using various frameworks, optimize large language models, and develop scalable backend systems while collaborating with product teams to enhance user experiences.

As a Software Engineer for AI, you'll help train large-language models by evaluating and improving production-grade code, ensuring correctness and efficiency.

The role involves training large-language models by evaluating code snippets, repairing AI-generated code, and injecting feedback into the RLHF pipeline.

As a Software Engineer for AI, you'll train language models by evaluating code, providing feedback, and improving code quality with a focus on TypeScript. Requires strong problem-solving and communication skills.

As a Software Engineer for AI, you'll train large-language models by evaluating and refining code, providing feedback for improvements, and ensuring quality through detailed reviews.

The role involves training LLMs to write production code by evaluating, ranking, repairing code snippets, and providing feedback. Strong code review skills and attention to detail required.

The role involves improving LLMs by comparing, ranking, and refactoring AI-generated code, using expertise in Python and a science background for effectiveness.

Responsible for developing AI search agents and RAG pipelines, optimizing performance, and monitoring production environments while ensuring accuracy and efficiency.

Train large-language models by evaluating and improving AI-generated code. Responsibilities include ranking code, refactoring, and injecting feedback into the RLHF pipeline.

Train large-language models by evaluating and improving AI-generated code. Review, rank, and provide feedback on code snippets for correctness and style. Engage in a fully remote work environment.

The role involves evaluating and training AI on code, providing feedback on code quality and efficiency, and improving AI's coding skills.

As a Software Engineer in AI, you will evaluate and train LLMs to improve code quality, including reviewing, ranking, and refactoring code snippets, and injecting feedback into the reinforcement learning process.

Train large-language models (LLMs) to write production-grade code, compare code snippets, refactor AI-generated code, and inject feedback into the RLHF pipeline.

As a Software Engineer AI, you will train large-language models to write production-grade code, compare code snippets, refactor AI-generated code, and provide feedback for RLHF improvements.

Develop end-to-end web systems and APIs for a modern AI platform, optimizing AI tools and solving real-world challenges in a fast-paced environment.

Lead the architectural design and technical strategy for open-source AI solutions, engage with clients, provide technical guidance, and ensure successful project delivery.

As a Senior Full-stack Engineer, you'll build AI coding agents and contribute to core functionalities while mastering multiple technologies, primarily TypeScript and Java/Kotlin, fostering a collaborative and innovative environment.