Staff Engineer: Evolutionary Optimisation

Callosum Technologies Ltd.

Greater London

Híbrido

GBP 90 000 - 120 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Equity & ownership
Private healthcare
Visa sponsorship & relocation benefits
London office access

Resumo da oferta

Callosum Technologies Ltd. is hiring to lead the program evolution loop in an LLM-guided optimisation system. You will design strategies that navigate vast search spaces and build benchmarks to quantify improvements across workloads.

Join a London-based team building a scalable, reusable infrastructure that advances inference, scheduling and scaling policies while integrating diverse AI accelerators. This role blends research with robust software engineering.

Qualificações

  • Experience in optimisation and search techniques.
  • Ability to reason about exploration vs exploitation, diversity, pruning and objective design.
  • Strong software engineering to turn experiments into reusable, measurable tools.
  • Cross-disciplinary approach across optimisation, algorithms, and ML rather than relying on LLMs alone.

Responsabilidades

  • Develop the core program evolution loop for long optimisation runs.
  • Design search strategies balancing exploration, exploitation, diversity and efficiency.
  • Build continuous benchmarks to measure the optimiser across workloads.
  • Turn the system into a reusable internal infrastructure scalable to new problems.

Conhecimentos

Optimisation & Search
Search reasoning
Engineering instincts
ML/Algorithms crossover

Descrição da oferta de emprego

Callosum Technologies Ltd. is hiring to lead the program evolution loop in an LLM-guided optimisation system. You will design strategies that navigate vast search spaces and build benchmarks to quantify improvements across workloads.

Join a London-based team building a scalable, reusable infrastructure that advances inference, scheduling and scaling policies while integrating diverse AI accelerators. This role blends research with robust software engineering.

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