3 of 3 Remote/Hybrid AI Agents Jobs in Cambridgeshire

Overview: Help craft the future of AI on billions of devices Most people use AI every day without thinking about the engineering underneath it. Every photo enhancement, voice assistant, image generator, AI camera feature, or real‐time translation system depends on sophisticated interactions between … competitive Arm AI acceleration technologies are compared to alternative solutions Explore how emerging workloads such as generative AI, agentic AI, computer vision, and multimodal AI execute on real systems Build and evaluate representative AI applications and benchmarks Profile systems ...

optimize architectures leveraging LLMs and VLMs for multimodal perception, control and exception - handling in automated laboratory and manufacturing workflows* Build intelligent scheduling and planning agents to coordinate fleets of devices and robots, enabling closed-loop experimentation, process optimization and autonomous lab operations.* Apply graph-based and sequential models … represent experimental workflows, material flows and equipment state, improving predictive maintenance and process robustness.* Integrate AI agents with automation frameworks, messaging systems and device APIs to enable reliable data and command flows across Sartorius’ digital and bioprocessing ecosystem.* Collaborate closely with robotics, software, process engineering and product ...

Peterborough, Cambridgeshire, United Kingdom and 1 more (Hybrid) Job Description Senior Software Engineer – AI Native Platforms Function: Tech Location: Hybrid, London or Peterborough office Curious about what’s next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. … guide, and upskill engineers within the team Familiarity with or eagerness to advance in: Model Context Protocol for managing context and tool interfaces for agents LLM integration patterns including prompt orchestration, multi-agent planning and tool calling Retrieval-Augmented Generation (RAG) for dynamic context injection Model selection/ ...