Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly travel card You will join a dedicated highly renowned More ❯
Plumstead, Greater London, UK Hybrid / WFH Options
Canonical
strategy and execution. The company is founder led, profitable and growing. We are hiring an Cloud Solutions Architectin our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers. Our worldwide field engineering team apply expert insights to real More ❯
distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯
Thoughtworks builds technology that matters. As a Regional Chief Architect – Cloud and Partner Ecosystem, you will be a technical leader focused on cloud and partner-aligned solutions within a designated geographic region. You will serve as the primary technical point More ❯
for the number of days you come to the office. Must Haves: Technical expertise. You have extensive experience in C Python, and several of the following areas: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson and AWS. A product focus. Your proven track record of delivering impactful AI/ML products with close collaboration with product is impressive. System experience. When it … developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded SoCs (e.g. Nvidia, Qualcomm, etc.). Our Role Champion work-life harmony . We'll give you the flexibility you need More ❯
distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯
distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯
distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯
series D funding. In total we've raised over $330M in funding from top-tier investors, including NEA, Atlassian Ventures, WiL, PSP Growth, and existing investors such as Accel, Nvidia, Kleiner Perkins, GV and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. The role As a Cloud FinOps Manager , you will play a pivotal role at the More ❯
and characterisation, motion planning, localisation, mapping, and related system performance metrics. Experience in on-vehicle perception, computer vision on a dynamic platform. Experience developing software on embedded hardware, including NVIDIA Jetson boards (Xavier, tx2, etc) The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer More ❯
baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance. Responsibilities : Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs. Design, prototype, and scale innovative architectures to enhance model intelligence. Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance. Investigate, debug, and improve both model … in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer More ❯
TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This is a chance to join a business with real purpose, where you work has a real-world impact! You can work from anywhere in the UK, with fully More ❯
InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯
segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯
developing production applications. Data Engineering & Streaming: Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments. Nice to Have: Neo4j Data Streaming e.g. Kafka Nvidia Triton Octopus Deploy Langsmith Elastic About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely More ❯
on performance and real-time responsiveness. Essential Skills Strong experience with speech technologies (e.g., Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and More ❯
segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯
segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯
ensure client expectations are aligned Industry Representation & Learning Represent NexGen Cloud at trade shows, virtual events, and strategic industry forums Stay informed on AI infrastructure trends, GPU technology (including NVIDIA ecosystem), and competitive developments Commit to continuous learning to strengthen both technical understanding and sales effectiveness Qualifications Proven track record in managing the full sales lifecycle, ideally within cloud infrastructure More ❯
unicorn status. In February 2024, G2 named us as the fastest-growing company in the world. We've raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google, and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role We're not just building a company-we're pioneering a new More ❯
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our More ❯
Join to apply for the Chief Technology Officer (CTO) role at Magic Memories Join to apply for the Chief Technology Officer (CTO) role at Magic Memories About MAGIC AI MAGIC AI is building the world’s first AI health coach More ❯
million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers. To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes … IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started. Perplexity AI is looking for a Senior iOS Engineer to join our small team revolutionizing the way people search and interact with More ❯
cloud sector. CRM & Reporting: Track and manage lead interactions using our CRM software and report on performance metrics. Continuous Learning & Adaptation: Stay updated on developments in cloud computing, the Nvidia ecosystem, and GPU technology to maintain a competitive edge. Qualifications: 1-3 years of experience in lead generation, sales development, or similar roles in cloud/tech environments. Strong understanding More ❯
drones and satellites , both terrestrial and orbital Integrating real-world datasets into simulation frameworks (e.g., terrain, satellite imagery) Combining game engines , physics simulators, and other tools (e.g., Unreal Engine, NVIDIA Omniverse, Simulink, Gazebo) Building custom tools and SDKs to enable faster iteration for autonomy testing Interfacing simulation environments with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL More ❯
