251 to 275 of 631 PyTorch Jobs in England

The team you'll be working with: You will join NTT DATA UK's Data Practice, a multi-disciplinary team delivering enterprise-scale data platforms, analytics and data-led transformation for clients. As part of ...

production Communicate insights to executive stakeholders with clarity What you bring 4+ years applied data science with production deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have Published research ...

Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from training to deployment. Collaborate with an ambitious, research ...

Databricks. Strong background building end-to-end ML pipelines across the full machine learning lifecycle. Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies. Experience with multimodal machine learning, embedding models, representation learning, or foundation models. Strong understanding of modern deep learning architectures, particularly Transformers ...

APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). ...

from model development, deployment, and serving to monitoring and maintenance Proficiency in Python and knowledge of ML libraries and frameworks such as TensorFlow and PyTorch Experience with high-volume data processing and real-time streaming architectures Strong understanding of recommendation system design and personalisation algorithms Familiarity with Generative ...

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. ...

What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental ...

Engineer with 2+ years of experience building and deploying models in production. Strong Python skills and hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). Comfortable with time series data and forecasting problems. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices. Curious about energy, climate ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

requirements. Qualifications Proven experience developing and deploying AI/ML models, particularly for scientific or engineering applications. Strong proficiency in Python with the PyTorch framework. Understanding of computational geometry principles and familiarity with mesh generation algorithms. Experience with statistical analysis and anomaly detection techniques for large scientific datasets. Strong software ...

understanding of areas such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates ...

Hands-on GitHub usage — branching strategies, release management Agile/Scrum delivery experience with JIRA/Confluence Exposure to AI/ML frameworks (TensorFlow, PyTorch) and model lifecycle management — beneficial Experience with transaction monitoring (e.g. Actimize), sanctions screening (e.g. Fircosoft), or market/trade surveillance platforms — beneficial but not essential ...

/Principal Data Scientist with ability to guide and coach the team Excellent Python coding practice, including ML libraries such as HuggingFace, TensorFlow and PyTorch Experience building robust ML pipelines with MLOps tools for model training, monitoring and deployment Experience with version control and environment management (e.g. venvs, Docker) Expert ...

Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience in scientific computing with other languages & frameworks Participation in the uncapped company bonus scheme, typically 15-25% of salary depending on experience ...

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

deep-learning projects at high data volume commercially, owning deployment, CI/CD, monitoring and lifecycle management. Strong Python: Solid Python with PyTorch or similar ML frameworks. Model evaluation: You diagnose why models underperform across data, features and architecture, and make reasoned trade-offs. Real-time & distributed ML: A strong ...

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 ...

with OpenAI or similar LLM platforms and exposure to agentic architectures (multi-agent systems, orchestration, HITL workflows) Experience with vector databases and familiarity with PyTorch or TensorFlow Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees ...

industry experience. Ability to build and ship AI/ML systems, ideally involving LLMs. Proficiency in Python and modern ML frameworks such as PyTorch or JAX. Hands-on experience across the LLM lifecycle, including fine-tuning, prompting, serving, and evaluation. Experience in scientific technical writing. Strong communication skills and ability ...

within cost cap requirements.QualificationsSKILLS & EXPERIENCEEssentialProven experience developing and deploying AI/ML models, particularly for scientific or engineering applications.Strong proficiency in Python with the PyTorch framework.Understanding of computational geometry principles and familiarity with mesh generation algorithms.Experience with statistical analysis and anomaly detection techniques for large scientific datasets.Strong software engineering practices ...

evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/ ...

SKILLS & EXPERIENCE Essential Proven experience developing and deploying AI/ML models, particularly for scientific or engineering applications. Strong proficiency in Python with the PyTorch framework. Understanding of computational geometry principles and familiarity with mesh generation algorithms. Experience with statistical analysis and anomaly detection techniques for large scientific datasets. Strong ...

/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with broad understanding across software ...

manipulate large financial data sets for empirical research and handle complex Experience with machine learning software libraries such as scikit‐learn, TensorFlow or PyTorch Experience with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear ...