326 to 350 of 386 Permanent PyTorch Jobs

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 ...

server-side application performance, Experience with kernel bypass (RDMA, DPDK, SPDK), Experience with cloud native technologies such as Kubernetes, CSI, Ansible, Familiarity with PyTorch based training applications. Please note: If skilled worker sponsorship is required, the company will meet costs associated with sponsorship for the employer only. All fees associated ...

LangGraph, LangChain, LlamaIndex, CrewAI, or Semantic Kernel. Experience building Retrieval-Augmented Generation (RAG) pipelines, AI orchestration workflows, and LLM gateways. Working knowledge of PyTorch, Hugging Face ecosystem, embeddings, inference, and model evaluation. Strong understanding of AI governance, evaluation, safety, and responsible AI practices. Excellent architecture, technical leadership, stakeholder management …/GCP Containers: Kubernetes, Docker APIs: REST, gRPC Messaging: Kafka or equivalent AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel ML: Hugging Face, PyTorch DevOps: CI/CD, Terraform (preferred) Roles & Responsibilities Lead the architecture, design, and implementation of scalable cloud-native backend platforms for Lounge Services. Design and develop ...

Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science solutions … Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning * GitHub Actions * CI/CD * MLOps * Marketing Analytics * Customer Lifetime Value (CLV) * Churn Prediction * Retail Analytics * Customer ...

Job summary Are you a skilled data scientist ready to make a real difference for children and young people? Alder Hey Children's NHS Foundation Trust is looking for a Senior Data Scientist to join ...

systems for industrial automation, collaborating with a global team. You will explore safe RL, learned dynamics and world models, and scalable experimentation with Python, PyTorch, and distributed infrastructure. This role emphasizes research impact and practical deployment in real systems. #J-18808-Ljbffr ...

Olix Computing seeks an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch/JAX to the hardware and enabling production inference at rack scale. This is a whole-stack role at the intersection of runtime, network, and accelerator with close collaboration ...

OLIX is seeking an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch and JAX down to the metal. You will work at the intersection of runtime, network, and accelerator, partnering with hardware, compiler, and modelling teams to optimize serving performance. Join ...

enhance machine learning capabilities while managing large-scale distributed training efforts across GPU clusters. The ideal candidate will have a strong background in PyTorch and RLHF methods, equipped to thrive in a dynamic environment where research intersects with production. Competitive benefits are included. #J-18808-Ljbffr ...

teams to maintain high standards of content quality. The ideal candidate should have strong experience with production-grade ML systems and modern frameworks like PyTorch and TensorFlow. The position offers flexibility to work from home while requiring occasional in-person meetings. #J-18808-Ljbffr ...

ANYWHERE IN EUROPE. What You’ll Need: Deep statistical understanding, particularly in classical methods Strong proficiency in Python, including experience with ML frameworks like PyTorch Strong grasp of linear algebra and numerical modeling techniques Experience training models on large, complex datasets A scientific mindset and the ability to question assumptions ...

plus. Research Fluency: Comfortable navigating academic literature, benchmarking SOTA models, and integrating them into product pipelines. Engineering Rigor: Strong Python skills; experience with PyTorch, Torchvision, OpenCV, and ML tooling (e.g. Lightning, W&B). Autonomy: Capable of defining technical direction, leading architectural decisions, and working independently in a fast‐moving ...

model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g. … Skills & Experience: You will have the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively ...

evaluation, and serving of large foundation models — trainer, dataset loaders, checkpointing, and experiment orchestration code. Distributed training enablement: Improve high‐throughput training stacks (e.g., PyTorch DDP/FSDP, NCCL) for performance, stability, and reproducibility, including preemption‐safe and sharded checkpointing. Data systems and pipelines: Build end‐to‐end Python pipelines … Python in a large, multi‐author codebase, with strong SWE fundamentals (ML systems experience strongly preferred). Hands‐on with modern ML training stacks (PyTorch; DDP/FSDP or comparable); have personally debugged distributed jobs across many GPUs and nodes. Have shipped non‐trivial end‐to‐end data pipelines ...

software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command-line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment … deploying large-scale AI models and agentic systems in production environments. Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow. Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments. Experience running production services at scale, including defining and working ...

Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and ...

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may ...

About the team Our Defence team is focused on building and embedding human‐centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical ...

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matching platform requirements. Define model calibration, scoring logic, confidence thresholds, and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost. Review and approve technical designs for complex modeling workflows. Explainability & Regulatory-Grade Reasoning Establish explainability standards across the ML stack, using SHAP … enterprise environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert‐level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost). Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes ...

Senior Machine Learning Engineer Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance ...

Senior AI/ML Engineer – 12‐month Fixed‐Term Contract, West London. Hybrid work model: onsite 2 days per week. Responsibilities Design, train and optimise machine‐learning models focused on user personalisation, including recommendation engines ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is ...

Key Responsibilities Generative Avatar Performance: Work at the heart of the Avatar Video Team to develop and enhance our generative avatar capabilities. Using conditioning signals such as audio, video, or text, create models that guide ...

engineers who have built and shipped ML systems used by real users. Examples of relevant experience include: Model training and evaluation Production inference systems PyTorch or JAX GPU-based training and inference ML experimentation and iteration Monitoring and debugging production ML systems AI reliability and performance optimisation … systems behave in production Independent ownership and execution Excellent problem-solving ability A bias towards shipping, measuring outcomes, and iterating quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation ...