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- Tasks: Join our AI team to develop cutting-edge applications and scalable solutions for the insurance industry.
- Company: Hyperexponential is revolutionising insurance with innovative SaaS technology, trusted by industry leaders.
- Benefits: Enjoy 25 days holiday, private healthcare, training budgets, and a fun, flexible work environment.
- Why this job: Be part of a dynamic team pushing tech boundaries while making a real impact in the insurance sector.
- Qualifications: Experience in ML application development, strong Python skills, and cloud architecture knowledge required.
- Other info: Flexible hybrid working in London with regular hackathons and social events.
The predicted salary is between 48000 - 84000 £ per year.
At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions—whether it’s calculating the cost to insure a global superstar’s concert tour or protecting entire states from natural disasters. With hx Renew, insurers can rapidly develop and iterate pricing models in Python and React within a modern software environment, free from the burden of legacy tech. What once took months now takes weeks—or even days. This agility has made our product the go-to platform for insurers worldwide.
In just five years, our winning formula has earned the trust of industry giants like Aviva and Top 5 US insurers, as well as cutting-edge innovators like Convex and Inigo. Our engineering team—made up of some of the brightest (and kindest!) minds in the industry—pushes technological boundaries every day through creative innovation and regular hackathons. We closed 2024 with remarkable milestones: doubling our revenue, raising $73M in Series B funding, setting course to offer Portfolio Solutions supported by AI. Our next ambitious target? Reaching $100M in revenue within the next 2-3 years and becoming an Insurtech Unicorn with a $1B valuation. Ambitious? Absolutely. Achievable? Without a doubt.
Your Mission: As a Senior Engineer on the AI team, you will play a pivotal role in developing the growing suite of hxAI products and services. You will drive the design and implementation of scalable, high-impact AI solutions to our customers' complex use-cases. You will support the internal R&D of the team contributing to our model training, evaluation and deployment processes to increase the capacity the team has to take on more use-cases and deliver more value to our customers.
Key Responsibilities:
- Develop & deploy enterprise grade AI applications from the ground up.
- Accelerate our AI & Research team by designing and implementing scalable infrastructure to support rapid experimentation.
- Develop internal tools to facilitate efficient dataset and evaluation results management, to streamline team’s processes and evaluations.
- Consult on technical designs, offering guidance and expertise to ensure robust architectural decisions, while proactively identifying and addressing future technical challenges.
- Build strong relationships with key stakeholders, effectively communicating technical concepts, managing expectations, and ensuring alignment with business goals and priorities.
Required Skills and Experience:
- Proven experience in development of large production applications with major ML components.
- Experience deploying ML models and LLMs in cloud and local environments.
- Strong programming skills in Python including its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, scikit-learn and Tensorflow.
- Extensive hands-on experience with cloud-based architectures and distributed systems, building scalable, reliable, and secure solutions.
- Demonstrated ability to self-manage and independently identify high-value opportunities and execute them effectively.
- Excellent communication and relationship-building skills, capable of conveying complex technical concepts to both technical and non-technical audiences.
- (Nice-to-have) Proven experience productionising LLMs for NLP use-cases.
What We Offer:
- £5,000 for individual and group training and conference budget.
- 25 days' holiday plus 8 bank holiday days (33 in total).
- Company pension scheme via Penfold.
- Private healthcare insurance through AXA.
- Life Insurance and Income Protection.
- Mental health and therapy provision via Spectrum.life.
- Individual wellbeing allowance via Juno.
- Top-spec equipment (laptop, screens, adjustable desks, etc).
- Regular remote & in-person hackathons, lunch & learns, socials and games nights.
- Team breakfasts and lunches, snacks, drinks fridge, fun office @ The Ministry.
- Huge opportunity for personal development and mastery as we grow together.
This role is London based (flexible hybrid, no fixed office days).
Interview Process:
- Initial chat with our Talent team to kick things off
- Manager Interview (60 minutes)
- Technical Skills Interview
- Values Interview
Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
Contact Detail:
hyperexponential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer - AI
✨Tip Number 1
Familiarise yourself with hx Renew and its capabilities. Understanding how the platform transforms the insurance industry will help you articulate your insights during interviews, showcasing your genuine interest in their mission.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like PyTorch and TensorFlow. Being able to discuss specific projects or experiences where you've used these tools will demonstrate your technical expertise and readiness for the role.
✨Tip Number 3
Prepare to discuss your experience with deploying ML models in cloud environments. Be ready to share examples of challenges you've faced and how you overcame them, as this will highlight your problem-solving abilities.
✨Tip Number 4
Showcase your communication skills by preparing to explain complex technical concepts in simple terms. This is crucial for building relationships with stakeholders, so practice articulating your thoughts clearly and concisely.
We think you need these skills to ace Senior Engineer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on projects where you've developed or deployed ML models, especially in cloud environments, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with hyperexponential's mission. Mention specific technologies you’ve worked with, like Python and libraries such as PyTorch or TensorFlow, to demonstrate your expertise.
Showcase Problem-Solving Skills: Use examples from your past work to illustrate how you've tackled complex technical challenges. Highlight your ability to self-manage and identify high-value opportunities, as these are key traits they are looking for.
Prepare for Technical Questions: Anticipate technical questions related to AI applications and cloud architectures. Brush up on your knowledge of scalable solutions and be ready to discuss your experience with distributed systems during the interview process.
How to prepare for a job interview at hyperexponential
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with large production applications and ML components. Highlight specific projects where you've deployed ML models, especially in cloud environments, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
During the interview, focus on your ability to identify high-value opportunities and execute them effectively. Share examples of how you've designed scalable infrastructure or internal tools that improved team processes, showcasing your innovative thinking.
✨Communicate Clearly
Since you'll need to build strong relationships with stakeholders, practice explaining complex technical concepts in simple terms. Be ready to discuss how you've managed expectations and aligned technical solutions with business goals in previous roles.
✨Prepare for Cultural Fit
Research hyperexponential's values and culture. Be ready to discuss how your personal values align with theirs, and share experiences that demonstrate your teamwork and collaboration skills, especially in creative environments like hackathons.
