151 to 175 of 200 PyTorch Jobs in London

on experience in both machine learning engineering (training ML models), and who have full-stack SWE experience - both backend and frontend engineering. Ideal candidates should have experience with Python, Pytorch, JS and React and similar frameworks. PAYE contract role, till Dec 25 (Likely to extend). 3 days needed onsite in London office. Essential: Hands-on experience in one or More ❯

on experience in both machine learning engineering (training ML models), and who have full-stack SWE experience - both backend and frontend engineering. Ideal candidates should have experience with Python, Pytorch, JS and React and similar frameworks. PAYE contract role, till Dec 25 (Likely to extend). 3 days needed onsite in London office. Essential: Hands-on experience in one or More ❯

on experience in both machine learning engineering (training ML models), and who have full-stack SWE experience - both backend and frontend engineering. Ideal candidates should have experience with Python, Pytorch, JS and React and similar frameworks. PAYE contract role, till Dec 25 (Likely to extend). 3 days needed onsite in London office. Essential: Hands-on experience in one or More ❯

on experience in both machine learning engineering (training ML models), and who have full-stack SWE experience - both backend and frontend engineering. Ideal candidates should have experience with Python, Pytorch, JS and React and similar frameworks. PAYE contract role, till Dec 25 (Likely to extend). 3 days needed onsite in London office. Essential: Hands-on experience in one or More ❯

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

deliver transformative, compliant, and ethical AI solutions. Requirements: Proven experience leading AI initiatives in banking, capital markets, or insurance. Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong business acumen and ability to align AI with client goals. Excellent leadership, communication, and stakeholder management skills. Passion for innovation and staying ahead of AI More ❯

deliver transformative, compliant, and ethical AI solutions. Requirements: Proven experience leading AI initiatives in banking, capital markets, or insurance. Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong business acumen and ability to align AI with client goals. Excellent leadership, communication, and stakeholder management skills. Passion for innovation and staying ahead of AI More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms More ❯

research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, etc.). Skills That Will Set You Apart from the Competition ML Systems (pipelines, performance evaluation, etc.) Open source projects on mobile/desktop systems optimization Experience with More ❯

regulated industry. The Player You're fluent in generative AI, from prompt engineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch , and a sharp eye for AI trends and ethics. You're collaborative, curious, and ready to build intelligent systems that perform at scale. If you're passionate about innovation and More ❯

engineers pushing the boundaries You may be a good fit if you have: Strong software engineering skills Proficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.) Experience with LLMs and agentic frameworks Experience with post-training LLMs (SFT, PEFT, or RL ) Experience with building synthetic data generation pipelines If some of the above doesn More ❯

skills, with a proven track record of building robust and scalable systems. Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities. Knowledge of distributed training strategies, especially for large-scale multimodal models. Familiarity with autoregressive models, particularly their application in multimodal tasks More ❯

but not required. Below is a detailed breakdown of all the technologies we use. - Backend: Python - Frontend: Typescript and React - Kubernetes for deployment - GCP for underlying infrastructure - Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who More ❯

feature engineering Promote best practices in data science, model validation, documentation, and reproducibility Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal More ❯

with funding and traction Remote-first culture with real autonomy and ownership 🚀 Your Role: Build and optimize vision models (object tracking, pose estimation, segmentation) Take prototypes to production with PyTorch, TensorFlow, Docker Drive product development and mentor other engineers Collaborate across product, data, and engineering for real-world deployment Apply now More ❯

with funding and traction Remote-first culture with real autonomy and ownership 🚀 Your Role: Build and optimize vision models (object tracking, pose estimation, segmentation) Take prototypes to production with PyTorch, TensorFlow, Docker Drive product development and mentor other engineers Collaborate across product, data, and engineering for real-world deployment Apply now More ❯

a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the overall business – we can More ❯

a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the overall business – we can More ❯