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Similar roles pay £110K - 150K a year · our estimate
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Sign Up to ReadAbout hyperexponential (hx)
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Until now, insurers have been making billion-dollar decisions using outdated tools.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.
Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx.
What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.
What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure.
If that sounds like you, join us in building what comes next.
About the Delivery Engineering team
The hyperexponential Delivery Engineering team is a unique blend of engineers, actuaries, mathematicians and data scientists. We don’t take on traditional “transformations” (we have brilliant partners for that) – we specialise in handling only the most difficult and interesting problems our customers face, where only a combination of technical depth, market expertise and hx knowledge will do.
The Delivery Engineering team are the experts' experts of the hx platform, knowing it top-to-bottom, inside-out – both breadth and depth. You’ll learn its limits and which can be pushed. You’ll uncover every trick in the book, the secret combinations, and the shortcuts. You’ll combine all of this with a growing knowledge of insurance technology to present 'the art of the possible' to our customers and help shape cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries.
What you’ll be doing
Own end-to-end model delivery on hx, from scoping and build through to testing, iteration, and customer delivery.
Build and maintain production-grade Python models, applying 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 contributions to best-practice model development guidance.
Support and mentor junior model developers through pairing, feedback, and day-to-day delivery support.
Continuously look for ways to improve our model development standards, tooling, and ways of working.
At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally.
Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make.
Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.
Fully remote
hyperexponential
Office in London, United Kingdom
Also hiring in Warsaw, Poland and New York, United States
3 of their 9 open roles are remote
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