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11 open roles read nightly from companies’ own hiring pages. Each one links to the original ad.

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  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffSecurity

    Callosum operates across a broad technical surface: APIs used by customers directly, orchestration software deployed across heterogeneous clusters, agentic systems with access to tools and data, and physical compute infrastructure that we operate ourselves. These products run…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffEngineering

    Callosum believes that orders of magnitude improvements in AI systems will come through application-aware orchestration across heterogeneous models and hardware. Our team is developing the science that makes that possible: a principled, evidence-based method for building…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staff

    Most agent frameworks are designed for short-lived workflows, best-effort execution, and a narrow set of tools. Callosum is building for a different world: agents that run for weeks, operate across distributed infrastructure, and interact with stateful systems where failures,…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffData & AI

    Callosum believes that orders of magnitude improvements in AI systems will come through application-aware orchestration across heterogeneous models and hardware. Our team is developing the science that makes that possible: a principled, evidence-based method for building…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffEngineering

    Callosum believes that the next generation of AI systems will be co-optimised across models, software, and hardware. As we operate across increasingly heterogeneous workloads and accelerators, the number of possible system configurations grows combinatorially. Manually…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffEngineering

    Choosing between algorithmic strategies for multi-step LLM work is a measurement problem, and most teams solve it badly: comparisons run case by case, by whoever needs them that week, on whatever task is closest to hand. That doesn't scale, and it doesn't hold up to outside…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffEngineering

    Callosum believes that orders of magnitude improvements in AI systems will come through application-aware orchestration across heterogeneous hardware. As workloads become increasingly disaggregated, the performance of the system is determined not only by where computation…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffEngineering

    Callosum believes that orders of magnitude improvements in AI systems will come through application-aware orchestration across heterogeneous hardware. We are building that vision: infrastructure that treats the full landscape of compute as a unified, co-evolving system, evolved…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffEngineering

    Callosum believes that orders of magnitude improvements in AI systems will come through application-aware orchestration across heterogeneous hardware. We are building that vision: infrastructure that treats the full landscape of compute as a unified, co-evolving system, evolved…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeLead / staffEngineering

    Callosum believes that orders of magnitude improvements in AI systems will come through application-aware orchestration across heterogeneous hardware. We are building that vision: infrastructure that treats the full landscape of compute as a unified, co-evolving system.…

  • Callosum · London, England, United Kingdom

    On-siteFull-timeEngineering

    We’re living through a Cambrian explosion of intelligence: new models and new chips, each specialised for different tasks, are arriving all at once. The result is a new era for AI, one of radical heterogeneity.

Updated 07 Nov 2026 10:21 UTC from the OptiTalent job library.