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For Companies At a Glance
- Tasks: Build and deploy machine learning models to revolutionise the insurance industry.
- Company: Join Artificial, a pioneering tech company transforming specialty insurance.
- Benefits: Enjoy private medical insurance, generous holidays, and stock options.
- Why this job: Make a real impact in a collaborative environment with cutting-edge technology.
- Qualifications: Proficient in Python ML stack and experience in deploying ML models.
- Other info: Be part of a diverse team committed to innovation and growth.
The predicted salary is between 36000 - 60000 £ per year.
About Artificial
Help shape the future of specialty insurance. At Artificial, we're building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making. We use modern technology to solve real challenges for some of the world's leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth.
You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.
We’ve just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally. Join us, and take the chance to be a part of something that will change the landscape of insurance for generations.
About the role
- Identify where ML can add the most value and make the case for it
- Build ML models (ranking, prediction, recommendations) to power platform insights
- Design and maintain ML infrastructure: feature stores, model serving, monitoring
- Collaborate with engineering to integrate models into the platform
About you
- You’re fluent in the Python ML stack (e.g. scikit-learn, PyTorch/TensorFlow, pandas/Polars)
- You’ve designed, built and shipped ML models to production
- You can work with messy, sparse, real-world data
- You can explain model outputs to non-technical users
- You know when a model is good enough to ship
- You’re proactive, self-directed and comfortable being part of a small, autonomous team
- Bonus: you know a bit of Haskell (our core platform is written in it)
We especially want to hear from you if you have:
- Collaborative skills with an emphasis on product quality.
- Experience in insurtech, insurance or related industries.
- Strong problem-solving skills.
- Experience in a distributed work environment.
Benefits
- Private medical insurance
- Income protection insurance
- Life insurance of 4 * base salary
- On-site gym and shower facilities
- Enhanced maternity and paternity pay
- Team social events and company parties
- Salary exchange on pension and nursery fees
- Access to Maji, the financial wellbeing platform
- Company stock options managed through Ledgy
- Milestone Birthday Bonus and a Life Events leave policy
- Generous holiday allowance of 28 days plus national holidays
- Home office and equipment allowance, and a company MacBook
- Learning allowance and leave to attend conferences or take exams
- YuLife employee benefits, including EAP and bereavement helplines
- For each new hire, we plant a tree through our partnership with Ecologi Action
- The best coffee machine in London, handmade in Italy and imported just for us!
We’re proud to be an equal opportunities employer and are committed to building a team that reflects the diverse communities around us. If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point.
Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts.
As part of our hiring process, we’ll carry out some background checks. These may include a criminal record check, reviewing your credit history, speaking with previous employers and confirming your academic qualifications.
Machine Learning Engineer in London employer: Artificial Labs Limited
Contact Detail:
Artificial Labs Limited 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, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that demonstrate your ability to work with real-world data. This will give you an edge and make it easier for hiring managers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical team members at Artificial.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to transform the insurance landscape.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Machine Learning Engineer role. Highlight your experience with Python ML stacks and any relevant projects you've worked on. We want to see how your skills align with our mission at Artificial!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for insurtech and how you can contribute to our team. Don’t forget to mention any collaborative experiences that showcase your problem-solving skills.
Showcase Your Projects: If you've built or shipped ML models, make sure to include them in your application. We love seeing real-world applications of your work, so link to your GitHub or any relevant portfolios that demonstrate your expertise.
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’re considered for the role. Plus, it shows you're keen on joining our team at Artificial!
How to prepare for a job interview at Artificial Labs Limited
✨Know Your ML Stack
Make sure you're well-versed in the Python ML stack, especially tools like scikit-learn, PyTorch, and TensorFlow. Brush up on your knowledge of how to build and ship ML models to production, as this will likely come up during technical discussions.
✨Understand the Business Impact
Be prepared to discuss how machine learning can add value to the insurance industry. Think about specific examples where ML has transformed decision-making or operational efficiency, and be ready to articulate these points clearly.
✨Communicate Effectively
Since you'll need to explain model outputs to non-technical users, practice simplifying complex concepts. Use analogies or real-world examples to make your explanations relatable and easy to understand.
✨Show Your Collaborative Spirit
Artificial values teamwork and collaboration, so be ready to share experiences where you've worked effectively in a team. Highlight your problem-solving skills and how you've contributed to product quality in past projects.
