1 to 25 of 29 PyTorch Jobs in Central London

implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such ...

coaching, and developing junior members of a team and wider community. \n\n DESIRABLE: \n \n Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n\n \n Experience with ...

Requirements Vetting: Active SC Clearance and British Citizenship are mandatory for this consultancy role. Core Tech: Solid professional experience with Python and frameworks like PyTorch, TensorFlow, or Scikit-Learn. GenAI: Hands-on experience developing LLM-based applications, RAG pipelines, and prompt engineering. Infrastructure: Experience deploying applications in cloud environments ...

large-scale production environments.Experience with MLOps practices and tools for managing the machine learning lifecycle.Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms ...

deploying AI applications in large scale production environments. Experience managing data science teams and couching team members Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn). Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK). Experience with generative models (transformers, GANs/VAEs; diffusion models ...

engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. \n\n \n Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). \n\n Platform & Cloud Engineering: \n \n Architecture and delivery of scalable cloud ...

Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices ...

interest in NLPBroad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.Experience monitoring, maintaining, enhancing existing models over an extended time periodExtensive experience with pytorch and related data science python libraries (e.g. pandas)Experience of containerising applications or models for deployment (Docker)Experience with one of the major public cloud ...

Cloud Platform, or Microsoft Azure)Knowledge of containerisation technologies like Docker and orchestration tools such as KubernetesExperience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)Strong problem-solving and communication skills\n Preferred Qualifications \n \n Experience with NLP, computer vision, or recommendation systems \nFamiliarity ...

Computer Science, Data Science, Machine Learning, or related field. \nExperience building and deploying agentic AI applications in production environments.Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.Hands-on experience with agent frameworks such ...

practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.Extensive experience with generative AI models, mainly ...

approaches for standardised integration between AI applications, tools, and enterprise data sources Strong Python engineering skills, including experience with libraries and frameworks such as PyTorch, Pydantic, LangChain, and LangSmith Experience with prompt orchestration, structured outputs, evaluation, and tool-calling patterns for LLM applications Knowledge of RAG patterns, vector search ...

data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills ...

currently much more flexible) • Location: Tower Hill, London • Tech stack: Python, GCP, Vertex AI, Kubernetes (GKE), Kubeflow, Docker, Terraform/Pulumi, FastAPI, PostgreSQL, BigQuery, PyTorch, LLMs, Vector Databases • Visa sponsorship: cannot sponsor Interested? Please apply below. ...

history of influencing the commercial success of AI products and solutions. \n\n DESIRABLE: \n \n Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). \n\n \n Experience with ...

industry experience, or an MS with significant industry or research experience in the fieldExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Rust/ort/Model Inference/ ...

familiarity with good software engineering practicesExcellent written and verbal communicationStrong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learnSolid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculusCollaborative, humble and enthusiastic attitudePreferred qualifications, capabilities and skills\n \n Experience deploying ...

unfamiliar fieldsHands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

development of new methodologies, tools, and frameworks for modern AI systems. Required Skills Strong programming experience in Python. Hands-on experience with PyTorch or similar deep learning frameworks. Experience building or working with Large Language Models (LLMs), Generative AI, Foundation Models, or AI Agents. Solid understanding of Machine Learning ...

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 ...

Strong software development skills with proficiency in multiple programming languages (Python, JavaScript/TypeScript, etc.) \nHands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar)Extensive daily use of generative AI tools for coding (Claude, Cursor, GitHub Copilot, or equivalent)Proven ability to deliver working prototypes quickly with minimal ...

Computer VisionSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Extensive experience with pytorch, numpy, pandasHands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)Able to communicate technical ...

accurately estimate results and know when to deliver actionable insights. Your technical toolkit includes experience with Bayesian approaches to machine learning, neural networks (ideally PyTorch), and a solid grasp of causal inference concepts, including their application with machine learning models. Furthermore, you are adept at navigating a diverse range ...

Expertise in transformer architectures (e.g., BERT, GPT, T5, Time‐Series Transformers). \nStrong hands-on experience with modern deep learning frameworks (PyTorch preferred).Solid grounding in machine learning fundamentals and statistical modelling.Familiarity with distributed training and GPU acceleration.A track record of delivering impactful models in production or research settings.Ability ...