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?Remote-first (Occassional travel to the US) | ?£60,000–£65,000 + Equity ? AI for Good | ? Early-Stage Start-Up | ? Health & Wellness Sector
Are you an applied machine learning engineer with a passion for real-world impact? We're partnering with a stealth-mode healthtech start-up that’s redefining personalisation in the wellness space.
What You’ll Be Doing:
Owning and evolve the personalisation engine - tailored recommendations, user preferences, and adaptive experiences.
Working with a mix of in-house data, literature-based insights, and small-scale RAG (Retrieval-Augmented Generation) models.
Building agentic tools to streamline onboarding and user journeys.
Contributing to backend design and infrastructure where needed - real bonus points if you’re from an engineering background.
Ideal Candidate:
3-4 years’ of experience in AI/ML with a practical focus on shipping features.
Familiarity with personalisation algorithms, recommendation systems, or LLMs.
Comfortable building scrappy, elegant solutions - not over-engineering for engineering's sake.
Hungry to grow into technical leadership and thrive in a low-ego, mission-led environment.
Bonus points if you've gone above and beyond: participated in hackathons, built side projects, or solved real problems outside of your day job.
Why Apply:
Be part of a small, ambitious team shaping the early stages of something meaningful.
Transparent equity offering.
Remote-first setup with opportunities for international exposure and travel opportunities
Unlimited holiday policy and flexible working culture.
If you’re excited about the intersection of personalisation, wellness, and applied AI please reach out!
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