Machine Learning Engineer (Voice) - London
Core
Building AI-native voice agents, companions with long-term memory, and agentic browsers for messaging, health biomarkers, and real-time speech-to-speech interactions.
Role type
Founding Machine Learning Engineer (Voice AI)
Builds
Speech-to-speech agents, companions with long-term memory, assistants inside messaging, health biomarker analysis tools, and an agentic browser.
Domain
AI/ML, Voice AI, Health Tech, Consumer Assistants
Deliverable
production ML models
Required skills
LLM production deployment, real-time STT/TTS, speech-to-speech, VAD, diarization, speech enhancement, TTS tuning for older voices, coding agents, high agency, product taste
Preferred skills
Voice AI experience (telephony), side projects with users, hackathon wins, weekend builds
Technologies
LLMs, real-time audio processing frameworks, speech enhancement libraries
Responsibilities
Set engineering standards for testing, review, and deployment of agents; shape the technical stack; hire team members; own broad areas including voice, memory, messaging, and biomarkers; build and ship voice AI features.
Seniority
Founding, hands-on IC with strategy & mentorship