Job Detail

Deep Learning Engineer

Data Science and AI Full–time
ID: #11811
Posted: 2026-03-02
Salary

Description

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You'll Do: • Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. • Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real. • Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones. • Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. • Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. We’re Looking For: • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. • Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. • You document experiments clearly and communicate trade‑offs crisply. Nice-to-Have: • Robotics or autonomous driving experience. • RL for LLMs or robotics (PPO, DPO, SAC, etc.). • Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions. • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer: • Competitive salary plus participation in our Stock Option Plan • UK Private Insurance • Paid vacation with adjustments based on your location to comply with local labor laws • Travel opportunities to our Vancouver and Boston offices • Office perks: free breakfasts, lunches, snacks, and regular team events • Freedom to influence the product and own key initiatives • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics • Startup culture prioritising speed, transparency, and minimal bureaucracy

Hard Skills 9
Skill Source Confidence
Python llm_hard
100%
Reinforcement Learning llm_hard
100%
Neural Networks llm_hard
100%
Deep Learning llm_hard
100%
Large Language Models (LLMs) llm_hard
100%
PyTorch llm_hard
100%
Model Deployment llm_hard
80%
MLOps llm_hard
80%
Model Optimization llm_hard
80%
Soft Skills 5
Skill Source Confidence
Written Communication llm_soft
100%
Documentation llm_soft
100%
Technical Writing llm_soft
80%
Collaboration llm_soft
80%
Problem-Solving llm_soft
80%
Apply Options
Publisher Direct Link
LinkedIn No Apply
Talents By StudySmarter No Apply
BeBee No Apply
Hunt UK Visa Sponsors No Apply
Jobilize No Apply
LinkedIn No Apply
API Logs for this Job
Query Country Status Response ms Created
Deep Learning Engineer extracted 4293 2026-03-22 03:08
Deep Learning Engineer classified 440 2026-03-21 21:13
junior deep learning engineer in United Kingdom gb processed 13733 2026-03-21 17:11
Raw JSON
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