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- Tasks: Architect and scale advanced AI systems to revolutionise the insurance industry.
- Company: Join hyperexponential, a leading AI-powered platform transforming critical decision-making.
- Benefits: Enjoy competitive salary, generous holiday, and a £5,000 training budget.
- Why this job: Make a real impact with cutting-edge technology in a fast-paced environment.
- Qualifications: Experience in building production-grade ML products and strong software development skills.
- Other info: Be part of a diverse team committed to innovation and personal growth.
The predicted salary is between 48000 - 84000 £ per year.
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. 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.
About the hxAI team
At hx, AI is central to our mission. We are redefining how the insurance industry builds software and makes decisions, powered by generative AI. Our team combines state-of-the-art LLM technology with deep insurance domain expertise to solve problems no one else is tackling.
What you’ll be doing:
- Architect and scale advanced AI and ML systems that power hx’s next generation of products.
- Lead the design and deployment of cutting-edge model capabilities.
- Drive foundational decisions across data, modelling, and production infrastructure.
- Rapidly prototype novel ideas and evolve successful experiments into production-grade systems.
- Advance broader AI strategy: shaping technical direction and embedding best practices.
- Act as a technical multiplier: mentoring engineers and fostering a culture anchored in curiosity and scientific rigor.
What you’ll need to have done:
- Built and operated production-grade ML products in Python.
- Designed and scaled distributed, cloud-native pipelines.
- Taken full ownership of impactful AI initiatives.
- Communicated complex ML concepts clearly across teams.
- Delivered AI/ML-powered products end-to-end.
(Nice to have) Brought LLMs into production, especially for NLP-heavy or retrieval-augmented use cases.
You’re unlikely to thrive here if:
- You prefer predefined playbooks and predictable projects.
- You see your contribution as limited to code.
- You’re uncomfortable with rapid iteration and experimentation in live environments.
Compensation
At hx, we’re committed to salary transparency. 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.
Benefits:
- £5,000 training and conference budget.
- 25 days of holiday plus 8 bank holidays (33 days total).
- Company pension scheme via Penfold.
- Mental health support and therapy via Spectrum.life.
- Private healthcare insurance through AXA.
- Income protection and Life Insurance.
- Cycle to Work Scheme.
Additional perks:
- Top-spec equipment.
- Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
- Exceptional opportunities for personal development and growth.
Interview process:
- Initial call with Talent team (30 minutes).
- Manager Interview (60 minutes).
- Technical Assessment (120 minutes).
- Values Interview with Tech Leadership (60 minutes).
- Offer.
Our commitment to Diversity
We are committed to creating an environment where everyone can thrive, grow, and make an impact. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions and design solutions that endure.
Next steps
If this opportunity resonates with you, we encourage you to apply or share it with your connections!
Senior Software Engineer - AI Products in London employer: hyperexponential
Contact Detail:
hyperexponential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - AI Products in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at hx or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI and ML, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for technical assessments by brushing up on your coding skills and understanding of AI concepts. Practice common algorithms and data structures, as they might come up during your interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll get updates directly from our talent team.
We think you need these skills to ace Senior Software Engineer - AI Products in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in the insurance industry shine through. We want to see how you connect with our mission and how your experience aligns with our innovative approach.
Be Specific About Your Experience: Don’t just list your skills; give us concrete examples of how you've built and operated ML products. We love details! Share the challenges you faced and how you overcame them, especially in ambiguous situations.
Tailor Your Application: Make sure your application speaks directly to the role of Senior Software Engineer - AI Products. Highlight relevant projects and experiences that showcase your ability to architect and scale advanced AI systems, as this is key for us.
Apply Through Our Website: We encourage you to apply directly through our careers page. It’s the best way for us to receive your application and ensures you’re considered for all the exciting opportunities we have at hx!
How to prepare for a job interview at hyperexponential
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML systems, especially in the context of insurance. Be ready to discuss your experience with production-grade ML products and how you've tackled real-world data challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've architected and scaled advanced AI systems in the past. Highlight specific projects where you identified opportunities, designed solutions, and measured their impact in production.
✨Communicate Clearly
Practice explaining complex ML concepts in simple terms. You’ll need to convey your ideas effectively across different teams, so think about how you can make technical jargon accessible to non-technical stakeholders.
✨Embrace Ambiguity
hx thrives on rapid iteration and experimentation, so be ready to discuss how you've navigated ambiguous projects. Share your experiences of working in fast-paced environments and how you adapt to changing requirements.
