301 to 325 of 742 PyTorch Jobs in the UK

Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Demonstrated depth in model design, optimization, and evaluation beyond standard off-the-shelf approaches Strong intuition for model failure modes, generalization, and real-world ...

prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects Compensation Salary ...

with a strong commitment to reproducible research, version control, testing, and data provenance. Strong proficiency in Python and the scientific deep learning stack (e.g., PyTorch, Hugging Face, Lightning, MONAI), along with hands-on experience using image analysis tools such as scikit-image, OpenCV, napari, Cellpose, StarDist, InstanSeg, and OME-Zarr. ...

related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

. Less reliable for visa-sponsored roles, which usually expect a degree. Skills you'll need Technical skills Python and SQL (pandas, scikit-learn, PyTorch/TensorFlow) Statistics, probability and experimental design (A/B testing) Machine learning — supervised, unsupervised and deep learning Data wrangling, feature engineering and pipelines Cloud … vast majority of roles. R is common in research, finance and academia. Beyond languages, employers look for the machine-learning ecosystem (scikit-learn, PyTorch or TensorFlow), cloud and MLOps tooling (AWS/GCP/Azure, Docker), and version control (Git). A public portfolio demonstrating these is worth more than ...

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 ...

related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages ...

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 ...

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 ...

reinforcement learning and/or large language models Experience in chip design and applied AI research Familiarity with deep learning frameworks such as TensorFlow, PyTorch or JAX Experience influencing organisational policy and securing major research funding By applying to this role you understand that we may collect your personal data ...

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 ...

Latency, throughput, and cost optimisation Monitoring, observability, and evaluation frameworks Scaling ML systems in production environments Tech Environment Python (core ML and backend language) PyTorch/modern ML frameworks LLM ecosystem (OpenAI, Anthropic, etc.) GPU-based training and inference Docker and Kubernetes AWS, Azure or GCP The emphasis ...

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 ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining ...

delivered ML and 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 ...

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 ...

Solid understanding of: Model evaluation and validation Overfitting, bias/variance tradeoffs Data quality and feature engineering Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation Ability to debug and improve model performance systematically We also ...

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 ...