251 to 275 of 518 PyTorch Jobs in England

company is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, the company combines developer ...

model prototyping to production deployment, integration, and ongoing monitoring.You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings.You have deployed models into live systems and understand how to make ...

candidates with the following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

candidates with the following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

company is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, the company combines developer ...

ONNX, C++ bindings). Experience in model quantization techniques (INT8, INT4, AWQ) and execution acceleration across NPU/GPU hardware. Proficiency in Python and PyTorch/HuggingFace ecosystems. Data Structures & Knowledge Processing Solid foundation in natural language processing (NLP), semantic summarisation, and graph-based data structures (Graph DBs, vector embeddings ...

research and/or ML/Deep Learning platforms.Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency ...

infrastructure engineering experience, with at least 2 years in an ML or AI-adjacent role Strong Python skills and familiarity with major ML frameworks (PyTorch or JAX); comfortable reading and modifying model code Hands-on experience building and operating ML pipelines in production: data pipelines, training orchestration, evaluation, and serving ...

scaling yourself and leading through others, in an applied research setting Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed) Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD Technical Qualifications Deep understanding of document understanding fundamentals: document ...

software engineering teams. Ideal candidates have 5+ years in ML engineering, a Masters or PhD in a quantitative field, and expertise in tools like PyTorch and MLOps. The position offers opportunities for management based on experience. #J-18808-Ljbffr ...

multimodal LLMs and deep learning model optimization. Candidates should have over 5 years of experience in software engineering, particularly with Python and frameworks like PyTorch and TensorFlow. The role offers competitive salary, generous equity options, and relocation assistance. Flexibility in working arrangements is available, requiring in-office presence twice ...

Implement prompt evaluation frameworks and guardrail architectures Requirements 3+ years of experience focusing on Natural Language Processing and Generative AI Hands-on experience with PyTorch, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT/LoRA) Experience deploying models with vLLM, Ollama, or Triton Inference Server Strong background in software ...

Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research ...

research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets to extract insights and train algorithms Perform feature engineering to improve model ...

datasets to extract features and build predictive models Collaborate with data engineers and scientists to streamline data pipelines Develop deep learning architectures using TensorFlow, PyTorch, or Keras Integrate ML models into production environments with APIs and scalable systems Research the latest AI trends and propose innovative solutions Tune hyperparameters ...

platform products at scale Excellent written and verbal communication; comfortable engaging directly with clients Right to work in the UK Required skills Python PyTorch LLMs MLOps Benefits at SREEYAMSOFT Top-of-market pay with annual reviews and performance bonuses. £2,000/year for certifications, conferences and learning. Modern offices ...

task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable. Technical Stack: Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools. Desired Next‐generation retrieval pipelines, multi‐stage ranking systems and Content ...

multi-task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable.Technical Stack: Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools.DesiredNext-generation retrieval pipelines, multi-stage ranking systems and Content AI stacks.Advanced sequential ...

while mentoring colleagues and promoting technical best practice. Your Skills & Experience Strong commercial experience with transformer architectures and modern NLP techniques. Advanced Python and PyTorch skills, including custom model training and optimisation. Experience fine-tuning, evaluating and deploying large language models. Experience working with large-scale text datasets and real ...

Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing ...

Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing ...

Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing ...

code generation.Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations.Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific ...

proficient in Python and have a good understanding of the ecosystem of tools and libraries that support ML development (e.g., scikit‐learn, PyTorch). You have experience working in a scientific environment across disciplines (particularly physics, chemistry, materials science, and engineering), either through previous roles or study. Are passionate about ...

cache behaviour, attention variants and performance bottlenecksHands-on experience with LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM or TGI, and the PyTorch ecosystemExperience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architecturesStrong software engineering skills, including Python, CUDA and building reliable systems ...