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- Tasks: Build AI systems to revolutionise insurance claims and enhance customer experience.
- Company: Join ClaimSorted, a fast-growing startup backed by top investors.
- Benefits: Competitive salary, equity participation, health insurance, and generous leave.
- Other info: Dynamic office culture with opportunities for growth and learning.
- Why this job: Make a real impact in a $200B industry while shaping the future of insurance.
- Qualifications: 2+ years in AI/ML engineering with a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
ClaimSorted helps insurers outsource claims end to end – a service called Third-Party Administration (TPA), a ~$200B industry. We combine a strong in-house claims team with our AI-enabled platform to deliver up to 3× faster claims, better service, and better economics for insurers.
Backed by Y Combinator, Atomico, and Eurazeo, we’ve raised $15M+ and already manage claims for over $100M in insurance premium across 30+ MGAs, including more than five publicly traded companies. Our goal: scale to $1B and become the most valuable TPA in the market.
You will build the AI platform powering insurance claims – helping people get support during life’s most critical moments. You’ll work with insurance specialists to turn claims processes into AI-driven workflows and deploy machine learning solutions at scale.
- Build AI systems that improve accuracy, speed up assessments, and enhance customer experience
- Work with insurance specialists to turn claims processes into AI-driven workflows
- Deploy machine learning solutions at scale
- Help build the engineering team and shape the technical culture from the ground up
- Work closely with founders and learn how to scale a startup from 0 to 1
We love working together in the office, so this is a full-time, office-based role in our London office. We’re a high-intensity team and often put in significant time and effort, with some people working on weekends, because we believe great outcomes come from doing the work well.
Qualifications
- 2+ years of experience in AI/ML engineering or research
- Proven track record of delivering AI/ML projects from concept to production, improving key company metrics
- Passion for shipping quickly
- Great at working with non-technical users
- Comfortable operating in ambiguous, high-velocity environments
Our Values
- Move Fast – Act decisively, iterate quickly, optimise for momentum.
- Always Overdeliver – We exceed expectations in everything we do.
- Think Customer-First, Always – The customer experience drives every decision.
- Challenge the Status Quo – We innovate relentlessly and never settle for ‘good enough.’
- Say It How It Is – Transparency and direct communication build trust.
Compensation & Benefits
- Competitive salary beyond the industry standard
- Generous, transparent equity participation
- Skilled Worker visa sponsorship in the UK
- 28 days annual leave plus bank holidays
- 30 days of remote work annually
- Health insurance
- Pension contributions in line with UK auto-enrolment requirements
- Company offsites
About the Interview
- Intro call – 20 min
- Technical interview – 45 min
- ML interview – 30 min
- Culture interview – 30 min
- Team day (paid) – come build with us for a day, weekend, or evening
Machine Learning Engineer in London employer: ClaimSorted
Contact Detail:
ClaimSorted Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ClaimSorted. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for your interviews by practising common ML questions and scenarios. Show us your passion for AI and how you can make a difference in claims processing!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to work with non-technical users. We love candidates who can bridge the gap between tech and customer experience.
✨Tip Number 4
Apply through our website! It’s the best way to get noticed and show us you're serious about joining our high-intensity team. Let’s build something great together!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for AI/ML: When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re not just skilled but also genuinely excited about the impact of your work in the insurance industry.
Tailor Your Experience: Make sure to highlight your relevant experience in AI/ML engineering. Use specific examples of projects you've worked on that align with our mission at ClaimSorted. This helps us see how you can contribute to our goals right from the start.
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, avoiding jargon unless necessary. This shows us you can communicate effectively with both technical and non-technical users.
Apply Through Our Website: Don’t forget 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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at ClaimSorted
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and be ready to discuss your past projects. Be prepared to explain how you've taken AI/ML projects from concept to production, as this is crucial for the role.
✨Show Your Passion
Demonstrate your enthusiasm for shipping quickly and innovating in the field. Share examples of how you've challenged the status quo in your previous roles and how that aligns with the company's values.
✨Understand the Business
Familiarise yourself with the insurance industry and how AI can improve claims processes. This will help you engage meaningfully with the insurance specialists during the interview and show that you can think customer-first.
✨Be Ready for Ambiguity
Prepare to discuss how you've navigated high-velocity environments in the past. The company values quick decision-making and adaptability, so share specific examples where you've thrived in uncertain situations.