101 to 125 of 152 PyTorch Jobs in England

orchestration, memory, deployment, and monitoring Experience with tools/frameworks like LangGraph, ReAct, CoT — or ability to build systems from first principles Familiarity with PyTorch/TensorFlow, RAG pipelines, vector DBs, and modern infra Background in startups (builders) or consultancies (client-facing delivery) Self-directed, adaptable, and comfortable operating ...

role Strong expertise in AI, machine learning, and statistical methods Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels) Experience with cloud-based ML deployment (e.g., AWS services) Ability to absorb complex scientific concepts and apply them to real-world problems Strong ...

years of professional experience delivering advanced AI/ML solutions in industry or engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone . Proven hands‐on experience deploying models in production and building ...

analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ability to take ...

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 ...

analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ability to take ...

/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 ...

data sources. * Hands-on experience with data engineering development, automation and integration strategy/implementation. * Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R). * Ability to translate business problems into data-driven solutions and communicate insights effectively. For the full role profile ...

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 ...

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Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier ...

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. ...

Object Detection and LLM analysis implementations would be a distinct advantage. Solid experience in AI/ML libraries such as Transformers/PyTorch, and object detection tools like OpenCV. Skilled in data processing with Pandas, NumPy, and database operations using SQLAlchemy. Experience in AWS services, including Lambda functions ...

experience building and testing machine learning algorithms. Hands-on experience with GANs, diffusion models, or flow-based generative models. Strong programming skills in Python, PyTorch, and version control (Git). Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: Experience working with ...

tier conferences Balance innovation with delivery constraints Requirements : PhD in Machine Learning, AI, Computer Vision, or related field Strong experience with deep learning frameworks (PyTorch/TensorFlow) Strong experience with computer vision models and ML training and evaluation pipelines Strong programming skills (Python, Java, C, CUDA and/or C++ ...

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 ...

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 ...

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). ...

sample, time, cohort) ● Practical knowledge of ML evaluation, validation strategy, and failure modes including error analysis and iteration planning ● Experience with model development using PyTorch/TensorFlow/JAX ● Ability to communicate clearly across technical + scientific stakeholders ● Strong experience leading or coordinating cross-functional teams, and thinking strategically across ...

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 ...

statistics, linear models & model evaluation techniques Experience with the Python data stack (NumPy, Pandas, etc.) and ML libraries Familiarity with tools such as PyTorch, TensorFlow, JAX, Plotly, Altair Experience working with large datasets and performance-sensitive systems Strong problem-solving ability with attention to detail Ability to communicate complex technical ...

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 ...

/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 ...

/constrained hardware Optimising inference (TensorRT, compression, etc.) Integrating into real-world systems Across both, you’ll need: Strong Python + deep learning experience (PyTorch/TensorFlow) Proven experience either in advanced ML development OR deployment Ability to deliver in complex, real-world environments Must hold active ...