Senior Machine Learning Engineer architecting next - generation AI platforms for healthcare and fintech with Nitra's diverse team. Focused on data pipelines, ML infrastructure, and production - ready AI systems.
About the role
- Machine Learning Engineer at Tilt, developing personalisation solutions across various app surfaces. Collaborate with teams to enhance recommendation systems on a video-first shopping platform.
Responsibilities
- 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
- 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
- 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
Requirements
- 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
- 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
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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