Senior Machine Learning Engineer
🚀 We’re on a mission to make: The most successful insurance disruptor people want to stay with for life
Are you ready to transform the insurance industry with innovative technology? At Policy Expert, we are on a mission to revolutionize Home, Pet, and Motor insurance, making it clear, fair, and great value for customers. Since our inception in 2011, our breakthrough thinking and proprietary tech, have won us over 1.5 million customers and the title of the UK’s No.1-rated home insurance provider for 9 years. 🏆
Hear from our team about what it's like working at Policy Expert ✨
About Us
Our ambition is to be the most successful insurance disruptor that customers want to stay with for life. With double-digit growth 📈 and a commitment to customer-centric solutions, we are challenging the norms of an industry known for low trust and high switching rates. Our goal is to build deeper relationships with our customers, transforming insurance from a costly necessity to a valued support system.
In 2023, we were honoured with an Outstanding 2-star accreditation ⭐⭐ and ranked among the Top 100 Best Large Companies to Work for by Best Companies.
About our Engineering Team:
We have around 120 engineers out of roughly 600 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions, so you’ll learn heaps about everything from how insurance works to effective communication.
Your day-to-day
We are seeking a Senior Machine Learning Engineer to join our ML engineering team. The ideal candidate will have strong experience in designing, implementing, and optimising machine learning models and systems. You will play a pivotal role in architecting scalable ML solutions and collaborating with cross-functional teams to integrate these solutions into our product offerings.
- Develop and maintain scalable machine learning models and pipelines, with a focus on deployment via AWS Sagemaker.
- Implement MLOps frameworks to streamline model lifecycle around MLFlow, ensuring robust training, validation, deployment, and monitoring.
- Collaborate with data scientists and product teams to translate business needs into effective ML strategies.
- Optimise data processing workflows using tools like Spark, Docker, and cloud-native solutions.
- Mentor and educate team members on ML engineering best practices.
- Stay current with machine learning advancements, advocate for their integration, and lead the evaluation of tools to enhance workflows.
You should apply if:
- Degree in Computer Science, Information Science, Data Science, or a related quantitative field.
- 3+ years of experience developing and shipping ML applications to production.
- Extensive experience writing production Python code, strong experience with classic ML frameworks (Scikit-learn) and ideally familiar with at least one neural network framework such as PyTorch.
- Experience with cloud environments (AWS preferred), microservices and implementing MLOps best practices.
- Experience of mentoring more junior engineers.
- Knowledge of the insurance industry would be an advantage but not essential.
What’s in it for you:
📍 This role will be based in our London office in a Hybrid mode.
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚 Learning budget of £1,000 a year for books, training courses and conferences.
🏥 Private medical cover with Vitality.
😁 Dental Insurance.
🚉 Travel season ticket loan.
🎉 Social events throughout the year.
🎟️ Access to selected London O2 events and use of a Private Lounge.
🌈 Employee Wellbeing Programme
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Policy Expert. At Policy Expert, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our website, 2023 Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
