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AI Engineer - Platform/MLOps

hyperexponential.com Logo

hyperexponential

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.

Job Responsibility:

  • Designing and operating scalable AI infrastructure for LLM inference, prompt management, and evaluation pipelines, supporting billions in premium flow
  • Building self-service tools, SDKs, and APIs that empower product teams to move from prototype to production 30% faster
  • Instrumenting production AI/ML workloads with standardised logging, tracing, and evaluation metrics, increasing observability coverage to 100% of deployed models
  • Implementing intelligent routing, caching, and provider optimisation via the LLM gateway, reducing AI compute costs by up to 25%
  • Driving adoption of shared platform services (LLM gateway, evaluation frameworks, monitoring) to replace bespoke solutions, increasing platform adoption across new AI features
  • Championing developer experience by delivering comprehensive documentation and responsive support, resulting in higher internal customer satisfaction

Requirements:

  • Built and deployed production AI infrastructure that scaled to support enterprise-grade reliability and observability
  • Delivered self-service tools or APIs that enabled multiple product teams to accelerate their AI/ML development cycles
  • Implemented evaluation frameworks, A/B testing infrastructure, or monitoring solutions that measured and improved model performance, latency, cost, and quality in production
  • Led initiatives to reduce AI compute costs through optimisation strategies such as intelligent routing or caching
  • Successfully migrated teams from bespoke AI solutions to shared platform services, driving measurable adoption
  • Prioritised and improved developer experience through documentation, support, or workflow enhancements
What we offer:
  • £5,000 training and conference budget for individual and group development
  • 25 days of holiday plus 8 bank holidays (33 days total)
  • Company pension scheme via Penfold
  • Mental health support and therapy via Spectrum.life
  • Individual wellbeing allowance via Juno
  • Private healthcare insurance through AXA
  • Income protection and Life Insurance
  • Cycle to Work Scheme
  • Top-spec equipment (laptop, screens, adjustable desks, etc.)
  • Regular remote and in-person hackathons, lunch and learns, socials, and game nights
  • Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry
  • Exceptional opportunities for personal development and growth as we build something remarkable together

Additional Information:

Job Posted:
February 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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