At a Glance
- Tasks: Develop and deploy cutting-edge AI applications while supporting R&D efforts.
- Company: Join hyperexponential, a leader in transforming the insurance industry with innovative SaaS solutions.
- Benefits: Enjoy 25 days holiday, private healthcare, training budgets, and flexible hybrid working.
- Why this job: Be part of a dynamic team pushing tech boundaries and making a real impact in Insurtech.
- Qualifications: Experience in ML application development, strong Python skills, and cloud architecture expertise required.
- Other info: Participate in regular hackathons and enjoy a fun office environment in London.
The predicted salary is between 48000 - 84000 ÂŁ 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.
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:
- ÂŁ5,000 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.
Senior Engineer - AI employer: hyperexponential
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 impact on the insurance industry. Understanding how our platform transforms pricing decisions will help you articulate your value during interviews.
✨Tip Number 2
Showcase your experience with AI applications by preparing examples of past projects where you've developed and deployed ML models. Be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Build a strong understanding of cloud-based architectures and distributed systems, as these are crucial for the role. Consider brushing up on your knowledge of Python libraries like PyTorch and TensorFlow to impress during technical discussions.
✨Tip Number 4
Prepare to demonstrate your communication skills by thinking of ways to explain complex technical concepts in simple terms. This will be key when building relationships with stakeholders and ensuring alignment with business goals.
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 transforming industries through technology. Mention specific experiences that align with hx's mission and how you can contribute to their ambitious goals.
Showcase Technical Skills: Clearly outline your programming skills in Python and familiarity with AI/ML libraries like PyTorch and TensorFlow. Provide examples of how you've used these technologies in past projects to solve complex problems.
Prepare for Interviews: Anticipate questions about your technical expertise and problem-solving abilities. Be ready to discuss your previous work with ML models and how you approach designing scalable solutions. Also, think about how you would communicate complex concepts to non-technical stakeholders.
How to prepare for a job interview at hyperexponential
✨Showcase Your AI Expertise
Make sure to highlight your experience with developing and deploying ML models, especially in cloud environments. Be prepared to discuss specific projects where you've implemented AI solutions, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Communicate Clearly
Since the role requires conveying complex technical concepts to both technical and non-technical audiences, practice explaining your past projects in simple terms. This will show that you can bridge the gap between technical details and business needs, which is crucial for building strong relationships with stakeholders.
✨Prepare for Technical Questions
Expect to face technical questions related to Python and its AI/ML libraries like PyTorch and TensorFlow. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your ability to think critically and apply your knowledge practically.
✨Demonstrate Your Self-Management Skills
The company values self-managing individuals who can identify high-value opportunities. Be ready to share examples of how you've independently driven projects or initiatives in the past, highlighting your proactive approach and ability to execute effectively.