Research Engineer - AI Team in London

At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a £7 trillion industry. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision.

The Research Engine sits at the intersection of exploration and evidence-based decision-making. We ensure that major technical investments are de-risked through rigorous research before Engineering scales them into production. As a Research Engineer, you'll bridge Product Management and Engineering by investigating emerging AI capabilities, validating technical approaches, and producing evidence that guides strategic product decisions.

What you'll be doing:

• Design and maintain evaluation frameworks that enable consistent, automated measurement of AI agent performance across hundreds of insurance scenarios.
• Conduct structured technology assessments that evaluate emerging AI capabilities against specific product needs.
• Run disciplined experiments that decompose ambiguous research questions into testable hypotheses.
• Build comprehensive test suites covering actuarial edge cases, underwriting workflows, and pricing logic.
• Translate research findings into engineering action by identifying performance gaps and recommending technical approaches.
• Maintain domain fluency in insurance by staying current with actuarial concepts, underwriting practices, and pricing methodologies.

What you'll need to have done (or have some intuition on):

• Worked on applied AI or ML problems where you had to structure your thinking, test hypotheses, and draw conclusions from messy or incomplete data.
• Had some exposure to evaluating AI or ML systems.
• Worked in or alongside production AI systems.
• Communicated technical findings clearly to non-technical audiences.
• Written Python comfortably across the AI/ML stack.
• Been part of cross-functional teams where research or analysis fed into real product or engineering decisions.

You're unlikely to thrive here if:

• You prefer pure research environments with long timelines and academic publication goals.
• You need clearly defined problems with established methodologies.
• You view research as separate from implementation.

Compensation:

At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process. 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.
• 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.

Additional perks:

• 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.
• Exceptional opportunities for personal development and growth.

Interview process:

• Initial call with our Talent team (30 minutes).
• Meet the team (40 minutes).
• Take Home technical Assessment.
• Values Interview with Two of our Leadership Team (60 minutes).
• Virtual/In-Person Coffee with our Senior Director of AI.

Our commitment to Diversity:

hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact.

If this opportunity resonates with you, we encourage you to apply or share it with your connections!