1 to 25 of 30 PyTorch Jobs in Central London

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 ...

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 ...

building, deploying, and maintaining ML systems in production, beyond research prototypes. Strong Python skills and hands-on experience with modern ML frameworks such as PyTorch or TensorFlow and MLOps frameworks such as ClearML, Flyte, and MLFlow. Demonstrated experience across the full ML lifecycle: data preparation, training, evaluation, deployment, monitoring ...

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 ...

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 ...

Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings ...

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 ...

experience in process digitization using AI technologies.- Strong background in AI software development and deployment.- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).- Excellent problem-solving and analytical skills. xkybehq Skills:- Artificial Intelligence- Machine Learning- Python- AI Application Development- Workflow Automation- Process Digitization- Software Development ...

industry experience. Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers). Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Advanced programming skills in Python. Solid understanding of model training, evaluation, and scaling. Strong problem-solving, analytical, and communication skills. Ability ...

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 ...

Python programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits • Stock ...

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 ...

your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Product and Platform Specialist- Strong Proficiency in Python and deep learning frameworks (PyTorch) LLM Architectures & Training: Understanding Transformers, Large Language Models (LLMs) RAG Pipeline Development: Building retrieval systems using vector databases Core RAG Components & Optimization : Doc Chunking , Embeddings ...

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 ...

/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 ...

communicate complex technical concepts to both scientists and stakeholders. Bonus Points: Any experience with structure prediction , open-source contributions (like RDKit or PyTorch ), or deploying models to production is a major plus. Why Join? Location: Based in a beautiful, historic office in Victoria House, London . Flexibility: Hybrid working Equity ...

variable lighting, at varying distances, on devices with no depth sensor, at frame rates as low as 15fps. Qualifications Tools & proficiency ML Frameworks: PyTorch (expert — primary training), TFLite (expert — Android/iOS inference), CoreML (strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face landmarker integration). ...

they're looking for • Strong Python experience • Commercial Natural Language Processing (NLP) experience • Experience building production ML/NLP systems • Experience with TensorFlow or PyTorch • Experience with search technologies (Elasticsearch, OpenSearch etc.) • Experience working with large datasets or language systems Experience with LLMs or information retrieval systems would be beneficial. ...

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 ...

higher in a STEM subject (or equivalent portfolio/work experience). You must have familiarity with ML frameworks such as scikit-learn, PyTorch and a strong grasp of statistical inference, hypothesis testing and experimental design. In your career so far, you will have ideally gained hands-on project experience ...

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 ...