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Join hyperexponential as a Delivery Engineer to own model delivery and solve complex problems in a hybrid work environment.

Location
London, United Kingdom
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 6 hours ago

Last verified on the company career page 6 hours ago

Apply at hyperexponential → Save job Scanned from hyperexponential.com

Skills & Technologies

What you'll build

  • Own end-to-end model delivery
  • Build and maintain production-grade Python models
  • Work directly with customer actuarial teams
  • Raise quality across the team through code review
  • Support and mentor junior model developers

Must have

  • Shipped and maintained production-grade Python code
  • Applied predictive modelling or advanced analytics
  • Taken ownership of ambiguous problems
  • Worked directly with non-technical stakeholders

AI in the day-to-day

AI is at the core of what we do, shaping workflows and enabling decision-making.

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

Income Protection Training Budget Wellbeing Allowance Pension Holiday Cycle-to-Work Scheme Mental Health Support Private Healthcare Life Insurance

Joblaze summary

In the role of Delivery Engineer at hyperexponential, the individual will manage the complete lifecycle of model delivery, from initial scoping to customer implementation. Proficiency in Python and experience with production-grade models are essential, along with the ability to tackle complex problems and collaborate with non-technical stakeholders. This position is well-suited for someone with a strong background in data-heavy environments and a proactive approach to ambiguous challenges. The team comprises diverse experts, fostering an environment focused on innovative solutions in the insurance technology space.

Joblaze insights

  • Listed today — first seen on Joblaze November 14, 2026. Last confirmed on hyperexponential's careers page November 14, 2026.
  • This exact title is also open at 1 other location at hyperexponential: Warsaw (hybrid).

Quick facts

Is the Delivery Engineer role remote?
It's hybrid — hyperexponential expects some on-site time in London, United Kingdom.
Where is the role based?
hyperexponential is hiring for this position in London, United Kingdom.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python.
What seniority level is this role?
hyperexponential targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Delivery Engineer role at hyperexponential.

From the original posting

About 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.

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.

What you’ll need to have done

  • 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, not a requirement).

  • Taken ownership of ambiguous problems, creating structure and driving them through 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 own development and learning.

You’re unlikely to thrive here if

  • You prefer following detailed instructions rather than experimenting and finding your own approach.

  • You are uncomfortable working directly with non-technical stakeholders to understand their challenges.

  • You avoid tackling ambiguous or open-ended problems where the solution isn’t obvious.

Compensation

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.

Benefits

  • £5,000 training and conference budget for individual and group development.

  • Company pension scheme via Penfold.

  • Individual wellbeing allowance via Juno.

  • Private healthcare insurance through AXA.

  • Income protection and Life Insurance.

  • Cycle to Work Scheme

Additional perks

  • Top-spec equipment (laptop, screens, adjustable desks, etc.).

Interview process

  • Initial call with our Talent team - 30 minutes

  • Take-home Python challenge followed by Skills Interview - 1 hour

  • Manager Interview - 1 hour

  • Values Interview - 1 hour

  • Meet the CEO

Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you’re energised by complexity and motivated to grow, we encourage you to apply and join our global team.

Standard company text repeated across hyperexponential's postings is omitted here.

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