Machine Learning Engineer (Personalisation)
Tilt is at the forefront of commerce, building a net‑new way to buy and sell online. As we enter our next phase of growth, we’re rebuilding the CEO Office and seeking a Machine Learning Engineer to work on personalisation at Tilt. This is a rare opportunity for someone to take our recommendation systems from 1 to 100. You will work on building real‑time algorithms for high conversion across a video‑first shopping platform that sits in its own class. You must be comfortable building feature pipelines, training models, deploying, and monitoring.
About Tilt
Tilt’s mission is simple: Make Commerce Alive. From static store website builders to impersonal marketplaces, today’s ecosystem is aging fast. It was built for transactional experiences, not for the new generation of merchants who grow through attention, community and personality. In the UK alone, millions of shoppers— from sneakerheads and Y2K girlies to collectors and parents— have signed up to Tilt. Our platform has helped sellers go from zero to £1M+ in earnings, and hundreds more earn above the UK median income. And we are just getting started.
Your Mission
You will own and build solutions for personalisation across different surfaces in our app, including live streams, products, videos, and more.
- Learn about our users, explore the data and engineer powerful signals
- Deliver ML algorithms which significantly outperform our current heuristic models
- Make Tilt the world leader in real‑time recommendations & agentic personalisation
As an AI/ML engineer, you will work closely with our Platform and Growth teams. There will be close collaboration with product, engineering and the business team. To be successful, you must be comfortable tackling a wide range of technical challenges.
Location
Hybrid (3 days a week from London, King’s Cross office – mandatory days Tuesdays & Thursdays plus one day of your choice!)
What You’ll Do
0 to 3 months
- Dive deep into the product and data to learn what the best personalisation experience is for customers and our business
- Rapidly onboard onto the existing recommendations system, identifying key improvements and implementing them
- Transition us from a scoring model to a more robust ML model
- Integrate novel new features and real‑time signals into the recommendation engine
3+ months
- Continue to ensure we are serving best‑in‑class recommendations for our customers
- Extend the recommendation system to more experiences in our app
- Integrate into our search experience, working with the broader team to invent a new type of search
Who You Are
- An ML and AI enthusiast, you’ve built recommendation & ranking systems in production, not just research prototypes
- A builder: You can code and think in systems
- A scientist: You have strong foundations in data, statistics and machine learning
- An excellent communicator: Written, verbal and visual communication are superhuman strengths; you must be exceptional at at least 2 of these
- Autonomous: You do not require close supervision; you spot problems and solve them
- Comfortable operating in ambiguity, pressure, and high‑expectation environments
Nice to Have
- Experience in fast‑paced, high‑autonomy startup environments, ideally Series B+
- Exposure to venture capital, private equity, or fundraising processes
- Built automations or software applications before
- Prior experience working directly with founders or CEOs
Why Tilt
- You’ll be joining a mission‑driven team backed by world‑class investors
- You’ll own meaningful systems from day one, with real scope and autonomy
- You’ll work alongside curious, kind, and wickedly smart teammates
- You’ll help redefine how millions of people shop online
Perks & Benefits
- 29 days off, plus UK bank holidays
- Your birthday off, no questions asked
- Share options to become a true stakeholder in our success
- 3% pension contribution from Month 2 (auto‑enrolment)
- Unlimited phone/video and in‑person therapy (phone therapy covers partner and dependants 16‑18 years old)
- 24/7 phone GP, including private prescriptions (including partner and children)
- MacBook and tech budget to get you set up your way
- Gym membership
- Free Deliveroo if you’re working late
We welcome applicants from all backgrounds and experiences, and we’re committed to fostering an inclusive, diverse workplace. If you don’t meet every single requirement in the job description, please don’t be put off from applying. We value potential and a willingness to learn over ticking every box – your unique perspective could be exactly what we’re looking for. Let us know if you need any adjustments during the application process – we’re happy to help.
#J-18808-Ljbffr