Generative AI Solutions Developer

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 MissionAt 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, Product ManagerHumanoid 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..., AI Engineer (MS Stack)Hybrid Working - London - 2 days a week on site.Financial ServicesLorien's leading banking client is looking for an AI Engineer with strong experience across the Microsoft AI stack, supporting a wave of AI innovation, solution design and capability..., Machine Learning EngineerLocation: UK (hybrid/on-site as required) Rate: £550 per day (Outside IR35) Security Clearance: Must hold UK SC ClearanceContract Machine Learning Engineer - Defence AI ProgrammesWe are supporting a specialist AI organisation delivering advanced...

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 PlanUK Private InsurancePaid vacation with adjustments based on your location to comply with local labor lawsTravel opportunities to our Vancouver and Boston officesOffice perks: free breakfasts, lunches, snacks, and regular team eventsFreedom to influence the product and own key initiativesCollaboration with top-tier engineers, researchers, and product experts in AI and roboticsStartup culture prioritising speed, transparency, and minimal bureaucracy Similar jobs

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