1 to 25 of 27 PyTorch Jobs in Central London

GenAI Ecosystem Lead the design and deployment of scalable AI solutions across Python, .NET, and cloud-native platforms Drive adoption of advanced frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) Oversee integration of LLMs (OpenAI, Anthropic, Gemini, Mistral) via enterprise platforms (Azure OpenAI, Vertex AI) Implement RAG architectures and manage vector databases ...

data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate ...

data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate ...

What You Bring Strong software engineering foundation (Python essential) Proven track record delivering production AI/ML systems Hands-on experience with frameworks like PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and model deployment Experience working with cloud platforms (Azure, AWS or GCP) Hybrid work model ...

learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus. You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale ...

/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up/scale-up environments. Mindset ...

data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). Comfortable designing and creating neural network ...

Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles ...

tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.) Familiarity with ...

Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated environments Eligibility Must ...

ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply Compensation and total rewards ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

scale and who are excited by applying those skills to one of the most interesting data domains in AI. Areas of interest include: PyTorch/JAX internals CUDA, XLA or Triton optimisation Distributed training systems GPU cluster performance tuning Large-scale experiment management Training reliability and reproducibility Kubernetes and orchestration ...

built for you. What You’ll Do Own end-to-end ML model lifecycles from training to deployment to monitoring Productionise models built in PyTorch, TensorFlow, or Scikit‐learn Use MLflow for experiment tracking, model versioning, deployment, and release workflows Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs … Ansible Work closely with engineering teams to deliver real-world ML systems across multiple sectors. Tech Stack You’ll Work With Python, SQL, PySpark PyTorch, TensorFlow, Scikit‐learn MLflow (core focus), Databricks, Azure IaC: Terraform, ARM, Ansible Git, Azure DevOps, Jenkins What We’re Looking For ✔️ 3+ years ...

lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation … Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching ...