3 of 3 Remote Deep Learning Jobs in West London

Role: Lead, Vision-Language-Action (VLA)/Behaviour Learning About the Client Our client is a pioneering robotics startup developing the worlds most advanced, reliable, and commercially scalable humanoid robots. Their mission is to create safe, next-generation robots that integrate seamlessly into daily life and amplify human capacity. Their first robot, HMND 01 , is designed for industrial automation … understand, and act in complex real-world environments. The role combines cutting-edge AI research with practical deployment in robotics. What Youll Do Define and drive strategy for representation learning, behaviour cloning, and reinforcement learning (RL) . Lead large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception, LiDAR … and optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What Were Looking For 6+ years experience building deep learning systems, including 2+ years in technical team leadership. Hands-on expertise with LLM/VLM architecture design, billion-parameter training, and fine-tuning . Proven track record More ❯

the gap between marketing and technology, supporting the client in assessing, implementing, and optimizing marketing technology solutions to enhance our clients' marketing strategies and operations. This role requires a deep understanding of marketing technology landscapes, strong analytical skills, and the ability to collaborate with cross-functional teams. About the Role - Required skills and experience: 4-5 years in Digital … Marketing Technology: as a consultant, Technical BA or product owner. Deep understanding of MarTech landscape: Comprehensive knowledge of various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data More ❯

data from our core technologies Collaborate with data scientists and engineers to integrate models into pipelines and tools. Stay current with academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth … knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming algorithms. A graduate degree (PhD or MSc) in Computer Science, Mathematics, Physics, Bioinformatics, or a related field Ability to work in a research-style setting and translate ideas More ❯