101 to 125 of 173 PyTorch Jobs in England

about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). ...

hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer ...

hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer ...

hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer ...

hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer ...

hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer ...

modern AI frameworks. Experience with transformer architectures and sequence modelling. Familiarity with LangChain, RAG (Retrieval Augmented Generation) and LLM application frameworks. · Experience using PyTorch, TensorFlow or similar ML frameworks. Ability to design and implement AI workflows and AI-powered automation systems. AI Engineering/Platform Experience integrating AI solutions with ...

Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field. Strong proficiency in Python with practical experience of PyTorch or TensorFlow. Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs) Hands-on experience with embedded C/C++ for model integration ...

cross-functional technical leadership across research and engineering domains. Core Skills Strong foundation in deep learning and transformer-based architectures. Hands-on experience with PyTorch and modern NLP/LLM toolchains. Deep knowledge of parameter-efficient fine-tuning methods (LoRA, adapters, PEFT techniques). Expertise in intent classification, evaluation metrics ...

We’re building AI assistants that live in the real world — answering calls, joining video rooms, running in physical spaces. It’s not a research project, this is a chance to work on a product ...

Extensive hands-on experience of frameworks and libraries: Proficient in scikit-learn and SciPy for ML algorithms Hands-on experience within python with PyTorch and experience in developing enterprise python applications Skilled in natural language processing tasks (entity recognition, tokenization etc) Strong knowledge of API/Microservices , Async programming, multithreading ...

models) Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) Experience working with large-scale consumer data and personalization or NBO platforms Nice to Have Experience in retail, CPG, telecom consumer analytics Exposure ...

concepts including error correction, fault tolerance, gate decomposition, qubit mapping/routing, or variational algorithms Experience with scientific Python libraries such as NumPy, SciPy, PyTorch Experience in machine learning, statistics, or AMO physics Experience with quantum error correction or decoder algorithms Familiarity with Rust, C++, or other compiled languages Experience ...

Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments ...

with world-class researchers and engineers Turning ideas into real, scalable systems ⚙️ What You Bring Strong coding skills in Python Hands-on experience with PyTorch/deep learning frameworks Background in machine learning/AI/data systems Exposure to LLMs or generative AI Ability to move fast, experiment ...

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 ...

leader who has built commercial AI products Deep experience across Generative AI, LLMs and classical machine learning Strong hands-on engineering background (Python, PyTorch, ML frameworks) Experience with agentic AI systems, RAG pipelines, and modern AI tooling A leader who can mentor teams, shape strategy, and drive delivery in fast ...

specifically open-source models). Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP. Frameworks & Tools: ML/DL: TensorFlow, PyTorch, or Hugging Face. Processing: OpenCV, Spacy, Regex, and OCR technologies. DevOps/Security: Experience delivering secure, resilient code and managing APIs. Nice to Have: Knowledge ...

Requirements 2+ years of experience in machine learning, AI, or related fields Strong programming skills in Python Hands-on experience with frameworks such as PyTorch Experience working with large datasets and machine learning models at scale Ability to design and run complex experiments Bachelor’s degree in Computer Science, Engineering ...

. Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives ...

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 ...

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers ...

Python for production AI and strong technical fluency in TypeScript. AI Frameworks: Hands-on experience with some of the following LangChain/LangGraph, LlamaIndex, PyTorch , and FastAPI . Modern Infrastructure: Experience with AWS Bedrock/SageMaker and using Docker/Kubernetes to scale agent instances. RAG Expertise: Proven experience building ...

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 ...

building backend or network-facing services using Go Strong Python skills, ideally within machine learning or computer vision environments Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn) Experience with containerisation and orchestration tools such as Docker or Kubernetes Comfortable working in Linux-based environments Solid ...