ML Engineer (0→1) — Shape AI for Insurtech, Equity in London

ML Engineer (0→1) — Shape AI for Insurtech, Equity in London

London Full-Time 120000 - 160000 £ / year (est.) No working from home possible
We Source Talent

At a Glance

  • Tasks: Build AI systems to enhance customer experience and streamline assessments.
  • Company: We Source Talent, a forward-thinking company in the Insurtech space.
  • Benefits: Up to £160k salary, equity options, and performance bonuses.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a mission-driven team and make a real impact in the Insurtech industry.
  • Qualifications: 2–7 years of Machine Learning experience and strong Python skills.

The predicted salary is between 120000 - 160000 £ per year.

We Source Talent is hiring a Machine Learning Engineer in Greater London. You will build AI systems that improve customer experience and speed assessments, working closely with founders and customers.

The ideal candidate has 2–7 years of applied Machine Learning experience, with expertise in LLM automation workflows and strong Python skills.

The role offers up to £160k plus equity and a bonus, making it an excellent opportunity for impact-driven professionals.

ML Engineer (0→1) — Shape AI for Insurtech, Equity in London employer: We Source Talent

We Source Talent is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With competitive compensation packages, including equity and bonuses, along with ample opportunities for professional growth, we empower our employees to make a meaningful impact in the insurtech space while working alongside visionary founders and clients.

We Source Talent

Contact Details:

We Source Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Engineer (0→1) — Shape AI for Insurtech, Equity in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with founders. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Machine Learning projects, especially those involving LLM automation workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on Python and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence in your skills can make all the difference!

Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace ML Engineer (0→1) — Shape AI for Insurtech, Equity in London

Machine Learning
LLM Automation Workflows
Python
Customer Experience Improvement
Data Assessment Speed Enhancement
Collaboration with Founders
Collaboration with Customers

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in Machine Learning, especially with LLM automation workflows. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in Insurtech and how you can contribute to improving customer experiences. We love seeing genuine enthusiasm!

Showcase Your Python Skills:Since strong Python skills are a must-have for this role, consider including specific examples of projects where you've used Python effectively. We want to know how you’ve applied your coding skills in real-world scenarios.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!

How to prepare for a job interview at We Source Talent

Know Your ML Fundamentals

Brush up on your machine learning fundamentals, especially around LLM automation workflows. Be ready to discuss your past projects and how you applied these concepts in real-world scenarios.

Showcase Your Python Skills

Prepare to demonstrate your Python expertise. You might be asked to solve coding problems or explain your code from previous projects, so have examples ready that highlight your skills.

Understand the Insurtech Landscape

Familiarise yourself with the insurtech industry and how AI can enhance customer experience. Being able to discuss current trends and challenges will show your genuine interest in the role and the company.

Ask Insightful Questions

Prepare thoughtful questions about the company's vision and how they plan to leverage AI in their operations. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.