5 of 5 Remote Deep Learning Jobs in Berkshire

AI/ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs … AI/ML systems, ensuring security considerations are properly addressed. Key Skills & Experience: * Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. * Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. * Previous hands-on experience … preferred. * Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD More ❯

in data science, Computer Science, Business Analytics or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands-on experience with AI or More ❯

opening up possibilities to build far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from perception through to action—combining … understanding, decision-making, and control into unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days More ❯

looking for top recruiters to plug directly into the world's most impressive DeepTech businesses in the world to place the TOP 1% across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning + the works. I could keep going, so let me skip to the logistics of the role itself: Ideally 2 days in More ❯

looking for top recruiters to plug directly into the world's most impressive DeepTech businesses in the world to place the TOP 1% across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning + the works. I could keep going, so let me skip to the logistics of the role itself: Ideally 2 days in More ❯