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- Tasks: Develop AI-driven solutions for staffing in the hospitality industry.
- Company: Stint, a dynamic tech company revolutionising hospitality staffing.
- Benefits: Competitive salary, flexible hours, and a fun work culture.
- Other info: Be part of a growing team with exciting career opportunities.
- Why this job: Join a passionate team solving real-world problems with innovative technology.
- Qualifications: Experience in machine learning and a passion for tech.
The predicted salary is between 42000 - 68000 £ per year.
Department: Data
Employment Type: Full Time
Location: London, UK
Workplace type: Onsite
Compensation: £50,000 - £80,000 / year
Reporting To: Jack Weeks
What you will be doing:
This position might suit you, if you have:
What we can offer you:
About Stint:
Stint solves one of hospitality's hardest problems, staying perfectly staffed when demand changes by the hour. We do this by pairing smart AI driven software with our flexible, on-demand workforce that's ready to step in exactly when needed. Over the last six years, we've focused on building our workforce of hyper-local students and other flexible workers, who are available for 2-3hr shifts exactly when our partners need them most. We have built trust within the hospitality industry, earning the confidence of major brands by proving the value of our workforce model. Now we work with some of the UK's best-known hospitality names - including PizzaExpress, Gail's and Pret across 4,000+ sites across 28 cities in the UK - and they all love our product.
Over the last 12 months, we've used this foundation to build something even more powerful: the brain behind a business's rota planning process. By applying AI to multi-year, proprietary and public data sources, we help businesses forecast demand, generate headcount suggestions, and build the optimal rotas automatically. When combined with our flexible workforce, our intelligent platform lets hospitality businesses run lean core teams and scale up during peak hours without overstaffing or compromising on service. What started as a smart way to fill shifts, has now become an end-to-end staffing engine that's incredibly hard to replicate and uniquely built for the hospitality industry.
We're looking for people to join our 50 person team who care about solving real problems with tech, are excited to grow with us, and want to build something pretty cool, very quickly. We work hard, have fun doing it, and don't take ourselves too seriously. We look forward to working with you.
Machine Learning Engineer in London employer: Stint
Contact Detail:
Stint 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 current employees at Stint. You never know who might give you the inside scoop or refer you for that Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let us see what you've built and how you can contribute to our AI-driven solutions.
✨Tip Number 3
Prepare for the interview! Research Stint’s products and think about how your experience aligns with our mission. Be ready to discuss how you can help us tackle staffing challenges in the hospitality sector using your tech skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our team at Stint.
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 is tailored to the Machine Learning Engineer role. Highlight relevant experience and skills that match what we're looking for, like AI and data analysis. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for tech and how you can help us solve real problems in the hospitality industry. Keep it engaging and personal – we love getting to know the person behind the application.
Showcase Your Projects: If you've worked on any cool projects or have a portfolio, make sure to include that! We want to see your practical experience with machine learning and how you've applied your skills in real-world scenarios. It helps us understand your approach and creativity.
Apply Through Our Website: Don't forget to apply 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 Stint!
How to prepare for a job interview at Stint
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your previous projects and how you've applied ML techniques in real-world scenarios. This will show that you’re not just a textbook learner but someone who can practically apply their knowledge.
✨Understand the Company
Do some homework on Stint and its unique approach to staffing in the hospitality industry. Familiarise yourself with their AI-driven solutions and think about how your skills can contribute to their mission. This will demonstrate your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect to face technical questions or even coding challenges during the interview. Practice common ML problems and be ready to explain your thought process clearly. This will help the interviewers see how you tackle problems and your ability to communicate complex ideas.
✨Show Your Passion
Stint is looking for people who care about solving real problems with tech. Share your enthusiasm for machine learning and how it can impact industries like hospitality. Let your personality shine through, as they value team members who are excited to grow and innovate together.