126 to 132 of 132 PyTorch Jobs in Central London

use state-of-the-art technology (deep learning, VLMs), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. Responsibilities: You will contribute to research on Vision Language Models (VLMs) for fraud detection, face matching … based in Paris and London Basic Qualifications: Currently enrolled in a Computer Science Master's or PhD degree or a related field Proficiency with a modern deep learning framework (PyTorch or TensorFlow) Ability to write research code in Python Strong communication and collaboration skills Strong willingness to learn Preferred Qualifications: Practical experience in deep learning, especially for computer vision tasks. More ❯

AI Lead - Financial Services - Hybrid, London Salary: £100,000 – £150,000 + 10% bonus Location: Hybrid working in Central London About The Company We're partnered with a specialist investment firm who on partner with innovative, high-growth companies. They More ❯

Data Scientist - data and analytics +6 months +Fully remote working +Inside IR35 +£450 - £525 a day We're looking for an experienced Data Scientist to play a key role in turning complex data into clear, actionable insights. You'll More ❯

Machine Learning Specialist (Computer Vision) Profile: Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and we’re hoping it’s More ❯

MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven … Qualifications Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven More ❯

ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte … Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

Senior AI Engineer Python, PyTorch, LLMs, RAG, Knowledge Graphs I’m working with one of the most ambitious AI startups in London, and they’re quickly becoming one of the leaders in the intersection of Generative AI and Finance💸 The vision? Replace clunky PDFs, fragmented data, and manual analysis with multi-agent AI systems that read, reason, and cite financial … person AI team at a company 8 months ahead of roadmap What they’re looking for: 3–6 years’ experience writing production-grade code Strong foundation in machine learning (PyTorch/JAX/TensorFlow) Deep understanding of LLMs and RAG, not just LangChain wrappers Bonus: Research internships, papers, or early-stage AI product builds Someone who wants to build real More ❯