IT & Software

Senior Delivery Engineer

hyperexponential

London · England · United Kingdom

Overview

In this role within Client Education, you will help customers transition from hx-led delivery to independent execution, focusing on enablement and advisory work. You’ll collaborate with Product to accelerate adoption of new enhancements and shape the Developer+ program as it grows. Expect to run workshops, review code, and document repeatable delivery processes that scale with AI-enabled insurance tech. You’ll act as a technical voice for customers and help turn feedback into product improvements. This is a hands-on role at the intersection of engineering, education, and customer success that drives tangible value for insurers and partners.

Pay / Benefits

  • 5,000 training and conference budget
  • 33 days of holiday (including bank holidays)
  • Pension scheme
  • Mental health support
  • Private healthcare insurance
  • Cycle to Work Scheme

Responsibilities
  • Move customer teams from hx-led build to independent delivery with advisory focus
  • Ensure engagements follow a prescribed path and align with customer build stages
  • Deliver structured enablement sessions on architecture, best practices, testing and deployment
  • Conduct code reviews aligned to standards and evolve model development practices
  • Provide drop-in support tailored to build stage and resolve issues during sessions
  • Make Developer+ repeatable by documenting delivery and using AI to scale capacity
  • Translate delivery insights into hx Academy content prioritised by real-world findings
  • Represent the voice of the customer to Product, feeding back recurring friction on a regular rhythm

Key requirements
  • Shipped and maintained production-grade Python code in complex or data-heavy environments
  • Pricing and modelling judgement with insurance/actuarial context a plus
  • Developed strong technical enablement and documentation skills
  • Coached customer teams to work independently
  • Owned and directed delivery processes with transparency
  • Displayed credibility across developers, actuaries, partners and internal stakeholders
  • Effective communication across diverse stakeholders
  • Ownership and self-direction
  • Coaching and enablement mindset
  • Python production code including testing and deployment
  • Model lifecycles and data-heavy environments
  • Pricing and modelling for insurance contexts

Reference: WJ-799_29805236

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