26 to 45 of 45 PyTorch Jobs in East London

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯

role We’re searching for Senior ML Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers.Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are … team's roadmap that unlock key high-impact technical and business milestones that drive the success of Flux. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers … in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving More ❯

We’re searching for Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we … and debugger requirements with the OTPU design; ensure software and hardware are designed together to deliver maximum performance. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimize Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximize throughput. Mentor & Define Standards: Lead code reviews, coach peers … experience in software engineering with a focus on C/C++ programming. Extensive experience in ML framework internals, compilers, low-level programming, and optimisation techniques. Extensive experience optimising Tensorflow, PyTorch or JAX deep learning models. Extensive experience with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving More ❯

and manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance, Computer Vision Management and leadership experience is required Excellent communication More ❯

if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong More ❯

data points to understand how AI systems could be abused and misused. Skills: Demonstrated ability in artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, TensorFlow, etc.) Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business Expert in synthesizing and clearly communicating complex More ❯

a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing (preferably AWS) and tools and More ❯

gem5, SystemC, custom in-house). Solid grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples More ❯

Robotics, or Graphics. Expertise in generative models (image/video diffusion) and modern transformer architectures. Preferred Qualifications Experience with GANs, diffusion models, LLMs, and large-scale deep learning in PyTorch or similar. Strong coding skills with fast ML experimentation. More ❯

Bring Expertise in generative modelling for physical/simulated/visual environments Hands-on experience with large-scale models — video generation, diffusion, or multimodal models preferred Deep knowledge of PyTorch, PySpark, and production-level ML tooling Proven work with temporal models, spatial reasoning, and computer vision systems Exposure to or leadership within simulation-based training environments A PhD in a More ❯

NLP & ML Background : Strong experience in deep learning and natural language processing, with an emphasis on large language models. Tooling Fluency : Comfortable with libraries like Hugging Face, LangChain, or PyTorch, and evaluation frameworks. Production Readiness : Prior experience shipping AI models into live environments, with attention to reliability and observability. Research Mindset : Curious and methodical, with the ability to turn novel More ❯

experience working with Azure AI Foundry and its ecosystem. Strong background in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and AI-driven application development. Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and cloud-native AI solutions. Hands-on experience with Azure Cognitive Services, OpenAI APIs, and vector search (e.g., Azure AI Search, FAISS, CosmosDB, Pinecone, etc.). Experience in AI More ❯

team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own … propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why Join Them Work with top engineers and AI researchers from leading tech firms and academic institutions. More ❯

with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why Join Them Work with top engineers and AI researchers from leading tech firms and academic institutions. More ❯

or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI systems in production environments . Exposure to Agentic AI concepts or multi-agent systems is a strong plus. Due to the More ❯

field Experience across 3D graphics, rendering, or materials/textures is required Experience implementing and training diffusion or generative image models Strong Python skills and familiarity with frameworks like PyTorch, JAX, or TensorFlow Understanding of transfer learning, computer vision, and image processing techniques Ability to translate complex research into scalable, production-ready solutions Why join this team Work with a More ❯

measurable impact. You’ll Need: 5+ years in data science or ML roles, ideally within AdTech or gaming. Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.). Experience with time-series modelling, UA data, or predictive analytics. A creative, proactive mindset and a commercial eye for how data drives outcomes. Bonus: Experience in mobile games More ❯

facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working across Linux More ❯

non-technical audiences Strong stakeholder management skills Flexible approach towards hybrid working Nice to have: Working knowledge in AI related projects Working knowledge of tools such as Python/PyTorch/Tensorflow Proven experience in the Insurance industry Immediate availability What you need to do now If you're interested in this role, click 'apply now' to forward an up More ❯

of the bet-placement platform. You will be part of a small team, working in a relaxed environment, and using a range of modern open-source tools like Jupyter, PyTorch and Spark. You will be working with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing the company More ❯