Delivery Engineer

Hyperexponential
London
Workplace: HybridFull timeFunction: Transportation & Fleet OperationsSkills: ["Code review","Mentorship","Collaboration"]

Own end-to-end model delivery on the hx platform, from scoping and building through testing, iteration, and customer delivery. Build and maintain production-grade Python models using modern engineering and modelling practices. Collaborate with customer actuarial teams and internal stakeholders to solve ambiguous, complex modelling and coding problems. Raise team quality through code review and testing, and mentor junior model developers. Continuously improve model development standards and tooling.

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FursaFursa
Hyperexponential
Hyperexponential
6 hours ago

Delivery Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Own end-to-end model delivery on the hx platform, from scoping and building through testing, iteration, and customer delivery. Build and maintain production-grade Python models using modern engineering and modelling practices. Collaborate with customer actuarial teams and internal stakeholders to solve ambiguous, complex modelling and coding problems. Raise team quality through code review and testing, and mentor junior model developers. Continuously improve model development standards and tooling.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Transportation & Fleet Operations

Key Responsibilities

  • •Own end-to-end model delivery on hx, from scoping and build through testing, iteration, and customer delivery.
  • •Build and maintain production-grade Python models using modern engineering and modelling practices.
  • •Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems.
  • •Raise quality across the team through code review, testing, and model development guidance.
  • •Mentor junior model developers through pairing, feedback, and day-to-day delivery support.

Pay and Benefits

Equity and Bonus:Equity
Perks:Learning BudgetPaid LeavePensionHealth InsuranceLife InsuranceIncome Protection

Key Requirements

  • •Shipped and maintained production-grade Python code in complex or data-heavy environments.
  • •Applied predictive modelling or advanced analytics in real-world settings (insurance or reinsurance exposure is a bonus).
  • •Owned ambiguous problems by creating structure and driving them to high-quality outcomes.
  • •Worked directly with non-technical stakeholders or customers, translating requirements into robust technical solutions.
  • •Operated effectively in a high-trust, high-accountability environment, proactively driving your development and learning.
Experience:InsuranceReinsuranceActuarialPredictive analytics
Skills:Code reviewMentorshipCollaboration
Tech Stack:Python

Company Brief

Hyperexponential
Provides pricing decision-intelligence (PDI) software (hx Renew) that helps commercial P&C insurers and reinsurers build, deploy and manage pricing and underwriting models using machine learning and alternative data to improve risk selection and pricing performance.
Industry: InsurTech
Company Size: Medium (51 to 250 employees)
Revenue: USD 25M to 50M
Growth: Growth Stage Startup
Funding: Series B
Headquarters: London, United Kingdom
Founded: 2017
Glassdoor
Glassdoor: 3.5
WebsiteLinkedInGlassdoor