101 to 125 of 131 PyTorch Jobs in England

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 ...

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). ...

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 ...

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 ...

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 ...

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 ...

great indicator, though it's your depth of applied expertise that matters most. Technically, you bring: Python fluency (NumPy, Pandas, Scikit-Learn, PyTorch) and solid TypeScript/API skills Hands-on experience with LLMs prompt engineering, evaluation, RAG architectures, safety considerations Cloud-native development on AWS and practical MLOps … modern AI tooling (Cursor, Gemini) is a strong plus Experience with both structured and unstructured data, including preprocessing and feature engineering Stack: Python PyTorch LangChain AWS SQL Terraform CI/CD MLOps Base salary: Up to £120,000 Bonus: 10% Equity: worth £20,000 Flexibility: Hybrid (3 days London office ...

/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 ...

able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker ...

exceptional candidate) Requirements for RF Data Scientist/Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such as bladeRF, USRP, HackRF ...

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour ...

remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps Image data Terraform AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long term remote contract MLOps Engineer role, outside IR35, please do apply. ...

remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps Image data Terraform AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long term remote contract MLOps Engineer role, outside IR35, please do apply click apply ...

VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems. Strong experimental and research skills — capable of taking projects from concept ...

audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based … Strong foundation in machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining ...

DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and ...

skills Experience in computer vision (object detection, tracking, depth estimation, 3D/SLAM) Proven experience deploying ML/CV models into production Experience with PyTorch, OpenCV, and ML tooling (e.g. Lightning, W&B) Familiarity with ONNX/TensorRT is a plus Strong understanding of scalable inference and system performance ...

skills Experience in computer vision (object detection, tracking, depth estimation, 3D/SLAM) Proven experience deploying ML/CV models into production Experience with PyTorch, OpenCV, and ML tooling (e.g. Lightning, W&B) Familiarity with ONNX/TensorRT is a plus Strong understanding of scalable inference and system performance ...

ensure alignment between business goals and architectural direction. Candidate Profile Essential: Expertise in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures. Technical expertise in the ML accelerator software space. Excellent communication skill, both written and verbal. Collaborative mindset ...

Head of AI – 120k – 150k GenAI/Agentic AI – Brighton (Hybrid) – AI-native Scale-up GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership |Do you want to lead AI at the core of a truly AI-native business building the next generation of virtual sales … delivering commercial products Deep GenAI and classical ML expertise Hands-on experience with Agentic AI, evaluation frameworks, RAG and prompt engineering Strong Python skills (PyTorch, scikit-learn, modern ML frameworks) A commercial mindset, balancing tech investment with customer value The credibility to lead technically and influence at exec level Desirable ...

Distributed Machine Learning Strong Understanding of what it actually takes to run ML Systems in Production Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across … Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing Automation-Focused Code needed to Streamline ...