26 to 50 of 62 PyTorch Jobs in London

understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch/TensorFlow, RAG architectures, vector databases, modern cloud infra – Experience in startup or consulting environments is a plus – Comfortable working autonomously in fast-moving, sometimes ...

/or distributed compute environments Experience with GPU scheduling/orchestration (e.g., Kubernetes schedulers - Volcano, Ray, etc.) Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Experience with multi-cloud or hybrid cloud environments Background in performance optimization for training workloads Experience in robotics, simulation, or embodied AI systems ...

interest includes: AWS, GCP, or Azure infrastructure experience. Infrastructure-as-code and scalable deployment workflows. Open-source scientific software contributions. Exposure to RDKit, PyTorch, OpenMM, or related tooling. PhD or advanced academic background in chemistry, computational chemistry, computer science, or related disciplines. Benefits Competitive salary and equity options package. Opportunity ...

distributed systems, networking, and system reliability Demonstrated ability to lead large technical initiatives and influence system design Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Nice to have: Experience with multi-cloud or hybrid cloud environments Background in performance optimization for large-scale training workloads Experience in robotics ...

cutting-edge ML infrastructure to be deployed at scale You should bring: MSc or PhD, with 2+ years of industry experience Strong Python and PyTorch skills Experience with ONNX and/or TensorRT Hands-on experience with GPUs (multi-GPU/distributed) is a plus Experience with Docker, cloud platforms ...

financial data experience strongly preferred Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring Strong Python and ML engineering skills (PyTorch or JAX) PhD in ML, Statistics, Computer Science, or related field (or equivalent research output) Ability to communicate complex ideas clearly to both technical ...

networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level ...

outputs into personalisation engines Owning experimentation, A/B testing, and performance metrics Mentoring engineers and setting technical direction across teams Tech Stack Python PyTorch/TensorFlow MLOps (CI/CD, model monitoring, retraining pipelines) Real-time/streaming systems Cloud-based ML infrastructure What You’ll Bring Strong experience ...

initiatives in sports, media, streaming, or real-time data environments Deep understanding of sports data and analytics Advanced Python skills with frameworks such as PyTorch or TensorFlow Proven experience in productionising ML systems at scale Strong knowledge of streaming architectures and low-latency systems Technical leadership and mentoring experience Ability ...

business workflow tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please ...

/AI engineering roles Proven track record of deploying ML models into production environments Strong Python skills and deep experience with frameworks such as PyTorch or TensorFlow Experience working with complex, high-dimensional datasets (biological data strongly preferred) Solid understanding of modern ML approaches (deep learning, representation learning, etc.) Experience ...

teams on a shared ML platform Exposure to regulated or high-reliability production environments Tech Stack (Current & Expected Evolution) Languages: Python (core) ML & Data: PyTorch/similar frameworks, experiment tracking, structured datasets Pipelines & Orchestration: Workflow schedulers for batch and near-real-time processing Deployment: Containers, model serving frameworks, infrastructure ...

driven Excellent communication with both technical and non-technical audiences Enjoys collaborating with cross-functional teams Python Docker/Github/Jira OpenCV, sklearn, pytorch/tensorflow Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based ...

record, ideally at venues such as CVPR or ICCV, or equivalent research output Hands on experience with Python and deep learning frameworks such as PyTorch or TensorFlow Ability to design, run, and analyse machine learning experiments end to end Clear interest in human behaviour, perception, attention, or cognitive modelling Comfortable ...

identify why a model is failing from first principles. Training infrastructure Owning data pipelines, distributed training runs, and model versioning end-to-end. PyTorch is your default. You've debugged a training run that wasn't converging and knew where to look. WHAT WE NEED TO SEE You have taken ...

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 ...

LOOKING FOR Technical Proficiency: Strong experience in building full-stack applications. AI/ML Experience: Proficiency with machine learning frameworks (e.g., PyTorch, TensorFlow) and LLM-powered workflows. Product Mindset: Ability to translate business problems into technical, user-friendly solutions. Product Development: Experience with 0-->1 product creation or early-stage ...

hardware and software boundaries Strong problem-solving ability and curiosity Nice to Have Experience with audio codecs, streaming, or real-time systems Exposure to PyTorch/TensorFlow or ML pipelines Familiarity with cloud platforms (AWS or similar) Hardware exposure (e.g. embedded systems, sensors, or low-level interfaces) What We Offer ...

Preferred Skills Experience with rendering at scale (e.g. render farms) Knowledge of computer vision, particularly real-time systems Experience with machine learning frameworks (e.g. PyTorch, JAX) Familiarity with the Blender C++ codebase Experience with AI-assisted coding or agent-based workflows Strong visual judgment and attention to detail for high ...

/video generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics ...

twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview ...

core product capability This is an R&D/research-led engineering environment requiring deep technical problem solving skills. Key Skills: Deep learning expertise PyTorch/TensorFlow Strong maths/modelling understanding Knowledge of Spiking Neural Networks (SNNs) The opportunity: This is a chance to work on mission-critical systems ...

compiler emitting the continuous fitness signal that becomes its training reward. Language and model are co-designed. We are a small team out of PyTorch, FAIR, NYU, & KCL, with strong institutional VC support from our pre-seed and active investor interest heading into seed. What you will ...

hybrid with 3 days a week on site required) To be considered for this position: Essential : Hardware Integration, Python (NumPy, SciPy, Pandas, Matplotlib, Sklearn, PyTorch), Desirable : GUI (Tkinter, PySide), C++, Life Science experience (Optics, Lenses etc.) Responsibilities/Requirements • Develop and maintain Python-based software for scientific data processing, modelling ...

Swift and native iOS development Experience with on-device ML frameworks (e.g. Core ML, TensorFlow Lite, ONNX Runtime) Model conversion and optimisation (e.g. PyTorch → mobile formats) SDK development and distribution Benefits include: Equity share options Employee discount platform Cycle to Work scheme 25 days annual leave + bank holidays Private ...