301 to 317 of 317 PyTorch Jobs in London

or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯

or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯

for image and video generation, leveraging technologies such as SDXL, Flux, and WAN 2.1. You should be familiar with popular machine learning frameworks like PyTorch, Diffusers, Transformers, and Docker. As a member of our team, you'll work closely with researchers, engineers, and creatives to develop and deploy solutions that … a focus on GenAI 🚀 Strong expertise in Stable Diffusion, Flux, and similar architectures 🚀 Experience fine-tuning and optimising visual models 🚀 Hands-on experience with PyTorch, JAX, or TensorFlow 🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT) 🚀 Experience deploying ML models using Kubernetes and/or Docker 🚀 Strong experience with Python More ❯

for image and video generation, leveraging technologies such as SDXL, Flux, and WAN 2.1. You should be familiar with popular machine learning frameworks like PyTorch, Diffusers, Transformers, and Docker. As a member of our team, you'll work closely with researchers, engineers, and creatives to develop and deploy solutions that … a focus on GenAI 🚀 Strong expertise in Stable Diffusion, Flux, and similar architectures 🚀 Experience fine-tuning and optimising visual models 🚀 Hands-on experience with PyTorch, JAX, or TensorFlow 🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT) 🚀 Experience deploying ML models using Kubernetes and/or Docker 🚀 Strong experience with Python More ❯

high-impact initiatives and push the boundaries of model performance. You'll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques. This would include: Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time … model training, including checkpointing, gradient accumulation, and memory optimisation among others. Introducing or enhancing tooling for distributed training, performance monitoring, and logging (e.g., DeepSpeed, PyTorch Distributed). Designing and implementing techniques for model parallelism, data parallelism, and mixed-precision training. Keeping the team updated on the latest research in model More ❯

high-impact initiatives and push the boundaries of model performance. You'll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques. This would include: Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time … model training, including checkpointing, gradient accumulation, and memory optimisation among others. Introducing or enhancing tooling for distributed training, performance monitoring, and logging (e.g., DeepSpeed, PyTorch Distributed). Designing and implementing techniques for model parallelism, data parallelism, and mixed-precision training. Keeping the team updated on the latest research in model More ❯

million users globally. Who you are: Hands-on Expertise: Proven experience training, fine-tuning, and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training … of technological evolution. Preferred Qualifications Hands-on experience in building, distributed training and serving of large-scale models using frameworks such as Tensorflow or PyTorch Deep understanding of the mathematical foundations of Machine Learning algorithms Expertise in building and applying large-scale (100M+ users) machine learning solutions for content feed More ❯

million users globally. Who you are: Hands-on Expertise: Proven experience training, fine-tuning, and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training … of technological evolution. Preferred Qualifications Hands-on experience in building, distributed training and serving of large-scale models using frameworks such as Tensorflow or PyTorch Deep understanding of the mathematical foundations of Machine Learning algorithms Expertise in building and applying large-scale (100M+ users) machine learning solutions for content feed More ❯

Machine Learning Engineer Hybrid Working - 3 days p/w in office (Cannon Street, London) Pays £50k-£70k ML Engineer - Python, scikit-learn, PyTorch, MLOps Oliver Bernard have partnered with an AI driven SaaS platform that are seeking a Mid level Machine Learning Engineer to work on the core of … be afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian. ML Engineer - Python, scikit-learn, PyTorch, MLOps Key Skills and Experience: ML frameworks Python TensorFlow, scikit-learn, PyTorch MLOps Kubernetes AWS This role is hybrid working from their offices in Cannon … 50k-£70k + benefits. 4 stage interview process - 15mins intro call, tech test, 1hr team interview, 30mins CEO discussion ML Engineer - Python, scikit-learn, PyTorch, MLOps More ❯

Machine Learning Engineer Hybrid Working - 3 days p/w in office (Cannon Street, London) Pays £50k-£70k ML Engineer - Python, scikit-learn, PyTorch, MLOps Oliver Bernard have partnered with an AI driven SaaS platform that are seeking a Mid level Machine Learning Engineer to work on the core of … be afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian. ML Engineer - Python, scikit-learn, PyTorch, MLOps Key Skills and Experience: ML frameworks Python TensorFlow, scikit-learn, PyTorch MLOps Kubernetes AWS This role is hybrid working from their offices in Cannon … 50k-£70k + benefits. 4 stage interview process - 15mins intro call, tech test, 1hr team interview, 30mins CEO discussion ML Engineer - Python, scikit-learn, PyTorch, MLOps More ❯

About Entourage We're building the infrastructure layer that will power the next generation of AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a More ❯

delivering high-performance and energy-efficient compute platforms for modern AI workloads. You'll be working on a flagship GPU and AI platform supporting PyTorch, OpenCL, and Vulkan, designed to bring scalable, efficient AI capabilities to developers and researchers across the industry . Role Overview: As a Software Engineer - AI … Framework, you'll be responsible for developing and optimizing PyTorch integrations and other AI tools for a custom AI accelerator platform. You'll work closely with hardware and software teams to ensure tight integration, performance tuning, and a seamless developer experience. Key Responsibilities: Develop and maintain PyTorch integration for a … frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major ML frameworks. Experience optimizing deep learning performance on accelerator hardware. Solid knowledge of deep learning algorithms and compute patterns. Strong programming More ❯

great products to our customers in a high-velocity startup. The role We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine-tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our … deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs. (Good to have) Comfortable with productionizing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them. Good understanding of docker and containerization. (Good to have) Experience with … Pytorch and Python3, and comfortable with C++. (Good to have) Understanding of Torch script, ONNX runtime, TensorRT. (Good to have) Understanding of half-precision inference and int8 quantization. What we offer Company equity % in an early-stage startup. More ❯

Leonardo.Ai , now part of the Canva family, is on a mission to redefine creativity through cutting-edge generative AI. Our platform empowers millions worldwide to effortlessly produce high-quality images, videos, and more. With nearly a quarter of a billion More ❯

Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly More ❯

A bit about Cantina: Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet. Cantina More ❯

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship More ❯