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Health cto with ml experience

London
360Me
Cto
Posted: 20h ago
Offer description

360Me is building a precision-health platform that merges diagnostics, wearables and AI to drive measurable reductions in biological age. We’re looking for a CTO who can blend deep research pedigree with hands-on engineering leadership —someone as comfortable discussing quantum-scale data problems as they are shipping a Docker container to production.
Research-engineering bridge – You’ll lead a culture that moves frontier ideas (LLMs, neurosymbolic AI, embeddings, multi-omics fusion) from prototype to product, mirroring the career journeys of candidates who have scaled research teams, built vector-search micro-services and delivered first-of-kind proofs-of-concept to enterprise clients.
Green-field architecture – Own end-to-end design for our food-image NLP pipeline, multi-source nutrient graph, and recommendation engine—all with clinical-grade auditability.
Hands-on impact – We expect you to write, review and ship code in the first 90 days, then scale systems and teams (data, ML, platform) to 20+ engineers within 18 months.
Ship V1 of the food-analysis API (image + text → nutrient vector → protocol tag) with
# Stand-up an ML Ops stack (Vertex AI / Kubeflow, Terraform-managed infra) that supports rapid retraining and audit logs.
# Scale the team—hire or upskill research engineers, data scientists and backend developers; PhD / D.5 + years building AI/ML or data platforms at scale.
~ Proven track record of taking a 0→1 research concept to commercial launch—ideally in health, biotech, or regulated SaaS.
~ comfort with GCP/AWS, Terraform and container orchestration.
~ A product mindset: you weigh user value and unit economics in every technical decision.
~ This isn’t a CTO role where you inherit a system and hire 10 managers. We’re looking for someone who enjoys writing Terraform as much as discussing architecture, and who’s comfortable setting up Kafka or Airflow when needed. You’ll architect, build, and deploy core services—embedding pipelines, image-to-nutrient models, ML workflows, and real-time APIs—then scale the team around what you’ve proven works.
~ Work alongside founders who value scientific rigour, ethical AI and design-led execution.
London HQ with vibrant, on-site rhythm (relocation support provided).
You’re a health enthusiast at heart—whether it’s wearable data, quantified self, or decoding what’s in your lunch, you’ve gone down the rabbit hole.

AI #ML #HealthTech #Longevity #VectorSearch #CTO #LondonTech

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