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, 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 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, employees are empowered to make a meaningful impact in the insurtech space while working alongside visionary founders and clients.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (0→1) — Shape AI for Insurtech, Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 interviews by brushing up on your Python skills and understanding the latest trends in AI. Practice common ML interview questions and be ready to discuss your past experiences in detail.
✨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, it’s super easy to keep track of your applications that way!
We think you need these skills to ace ML Engineer (0→1) — Shape AI for Insurtech, Equity
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Machine Learning and Python in your application. We want to see how you've applied your skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to AI systems and customer experience, as this will show us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. This helps us understand your qualifications quickly!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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've 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 best work.
✨Understand the Insurtech Landscape
Familiarise yourself with the insurtech industry and how AI is transforming customer experiences. Being able to discuss current trends and challenges will show your genuine interest in the role and the company.
✨Prepare Questions for Them
Have insightful questions ready for your interviewers. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and values.
