4 of 4 Distributed Systems Jobs in Cambridgeshire

building software tools and agentic applications that leverage our AI hardware and large language models. We need software engineers who can design scalable backend systems and integrate advanced LLM capabilities. Qualifications Ability to collaborate effectively within a team and work on-site Strong problem-solving skills and attention … Master’s degree in Computer Science or related field Experience in LLM-related software development is a plus Key responsibilities Design, build and deploy distributed systems and AI agents that leverage LLMs and retrieval‐augmented generation (RAG) to provide contextual, reasoning‐based capabilities. Develop cloud‐native microservices ...

development life cycle (SDLC), as this dynamic role will require you to rapidly prototype - and ultimately move into production - highly complex, reliable and performant systems - oftentimes from scratch. Role : Develop ultra-low-latency trading systems C++ or Rust code Work closely with a close-knit team of Software … Developers and Quant Traders Build mission-critical research systems from scratch This is an early-stage hire for the team. Much of your work will be completely greenfield. You will be involved in the designing, prototyping, testing and productionising new software. Providing support to a small number of junior ...

development life cycle (SDLC), as this dynamic role will require you to rapidly prototype - and ultimately move into production - highly complex, reliable and performant systems - oftentimes from scratch. Role : Develop ultra-low-latency trading systems C++ or Rust code Work closely with a close-knit team of Software … Developers and Quant Traders Build mission-critical research systems from scratch This is an early-stage hire for the team. Much of your work will be completely greenfield. You will be involved in the designing, prototyping, testing and productionising new software. Providing support to a small number of junior ...

Responsibilities: Create robust, flexible, and scalable machine learning tooling and infrastructure that supports research scientists in leveraging large-scale internal infrastructure (e.g., source control, distributed compute clusters, data storage). Work collaboratively as part of a multifunctional team where communication, documentation, and teamwork are highly valued. Write clean, maintainable … focus on building and maintaining scalable infrastructure. Hands-on experience with PyTorch or similar machine learning frameworks (e.g., TensorFlow). Experience working with distributed systems or high-performance compute infrastructure. 2+ years of experience working with large, complex datasets for machine learning, including data capture and annotation. Demonstrated ...