Techmunity company
Techmunity are hiring a Lead ML Engineer for a 16-person London startup building the model that predicts what learners know — and what they should learn next.
Powered by data from over 1 million English tests and thousands of hours of learner voice recordings, they’re creating the core learning engine for adaptive, multimodal education at global scale.
As Lead ML Engineer, you’ll own that system end-to-end: from data pipelines and model training through to deployment and monitoring, mostly in Python + PyTorch.
This is a greenfield challenge - taking the orchestration models that drive personalised learning, and evolving them into real-time, voice-aware systems used by millions.
What you’ll do
• Build and productionise ML systems that model learner knowledge, predict task difficulty, and orchestrate adaptive lessons.
• Work across data, training, and serving — building scalable pipelines and experiments from scratch.
• Collaborate with engineering and product to ship features that learn from real user behaviour.
• Shape the roadmap for voice-driven learning models and cross-language expansion.
• Grow into leading a small ML team within 6–12 months.
Who you are
• You’ve shipped end-to-end ML systems in production, ideally with NLP, recommendation, or personalisation models.
• You’re fluent in Python + PyTorch, with hands-on experience across data ingestion, model training, and deployment.
• You understand experimentation, evaluation, and observability in live systems.
• You’re motivated by impact - building ML that helps people learn faster and better.
• You thrive in small, fast, high-ownership teams.
They are offering between £130,000 – £170,000 (depending on level of experience) + equity.
If required, visa sponsorship/relocation packages are available - this is an onsite role in London, 5/days a week.
Interviews are happening now, so reach out to reuben@techmunity.io or apply now to discuss.
