3 of 3 Remote Stable Diffusion Jobs in the UK excluding London

development within the team, while also ensuring delivery excellence across all AI engagements. You will lead the integration of state-of-the-art technologies such as GPT-4, Transformers, Diffusion Models, DALL·E, Deep Reinforcement Learning (DRL), and other Large Language Models (LLMs), applying them to deliver measurable business value. In collaboration with data scientists, AI engineers, and business … team; lead recruitment, coaching, and professional development efforts. Champion a culture of innovation, collaboration, and continuous improvement. Drive the adoption and integration of advanced technologies including GPT-4, LLMs, Diffusion Models, and DRL. Stay current on emerging AI trends and financial services developments to inform product direction and client strategy. Ensure all AI solutions adhere to legal, ethical, and … a related field. Extensive experience leading AI-driven projects in financial services (banking, capital markets, or insurance). Deep expertise in generative AI technologies, including GPT, Transformers, DALL·E, Stable Diffusion, DRL, and LLMs. Strong knowledge of financial services applications such as algorithmic trading, fraud detection, risk analytics, and regulatory compliance. Proven success in building and leading AI More ❯

Our topics of interest include but are not limited to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). Generative Models (e.g. Stable Diffusion and Auto-Regressive models). Efficient Architectures. Model Compression (distillation, quantization). Efficient Adaptation of Large Models. Key Responsibilities: Conduct hands-on innovative research, including methodological conceptualization More ❯

Our topics of interest include but are not limited to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). Generative Models (e.g. Stable Diffusion and Auto-Regressive models). Efficient Architectures. Model Compression (distillation, quantization). Efficient Adaptation of Large Models. Key Responsibilities: Conduct hands-on innovative research, including methodological conceptualization More ❯