8 of 8 Permanent Stable Diffusion Jobs in England

Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently seeking a strong security and compliance to work closely with our team in building and implementing world class security and ensuring regulatory compliance across the business. The Role: Own More ❯

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 ❯

help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to 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 ❯

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 ❯

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 ❯