401 to 425 of 509 Deep Learning Jobs

deploying real-world AI systems that solved genuine business problems Experience deploying ML inference in C++ (e.g. ONNXRuntime, TensorRT, libtorch) Proven experience with advanced deep learning concepts such as CNNs, time-series models, and transfer learning Exceptional problem-solving abilities with a bias toward practical solutions Eligible … package 25 days holiday plus bank holidays and extra Christmas holidays Central London location with excellent facilities(in-person role) Regular team events and learning opportunities #J-18808-Ljbffr ...

deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool. We're looking … stage of the application or interview process, please let us know - we’re here to support you in any way we can. Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months ...

data driven quality. Desirable/nice-to-have Rust experience alongside C++ and Python. Slurm or other cluster scheduler expertise. Familiarity with ML/Deep Learning frameworks. Prior finance or market‐data experience, including low‐level market connectivity. GPU programming experience. Historical network/packet processing (telco, network ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

data driven quality. Desirable/nice-to-haveRust experience alongside C++ and Python. Slurm or other cluster scheduler expertise. Familiarity with ML/Deep Learning frameworks. Prior finance or market-data experience, including low-level market connectivity. GPU programming experience. Historical network/packet processing (telco, network appliances ...

University of Manchester is recruiting a Lecturer or Senior Lecturer in Artificial Intelligence and Machine Learning to bolster its AI and ML research capabilities. Open research areas include causal modelling, reinforcement learning, game theory, AI for Science, human-in-the-loop AI, foundation models, deep learning ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … into clear next steps, and drive improvements through repeated training cycles. About you In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. Essential Proven experience training deep learning models, with clear ...

trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers … thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We don’t believe ...

size-fits-all” modelling solutions; we areopen to and excited about applying all differenttypes of statistical and ML techniques, fromlinear models to deep learning, depending on whatbest fits a given problem. You'll spend the bulk of your internshipworking closely with full-time researchers onprojects drawn from their … work. You'llgain a better understanding of the diverse arrayof challenges we consider every day, learning howwe think about experiment design, datasetgeneration, time series analysis, featureengineering, and model building for financialdatasets. Your day-to-day project work will becomplemented by classes on the broaderfundamentals of markets and trading, lunchseminars ...

Position SummaryFaceSwap is a new, exciting, and growing discipline within the visual effects industry, using Machine Learning (AI) to create digital faces and likenesses. We are currently looking for people with a keen eye for, and interest in, photo realism, as well as those comfortable with the technical side … background in compositing is advantageous, artists with visual effects experience in any discipline are encouraged to apply. What You'll DoUse a variety of deep learning based technologies to produce photorealistic images, including open source tools, and proprietary in house softwareCreate templates to facilitate model evaluationMonitor the training ...

leading electric vehicle manufacturer in the UK is looking for a full-time Machine Learning Engineer. The successful candidate will work on cutting-edge AI infrastructure aimed at developing state-of-the-art autonomous driving solutions. This role includes designing and deploying large deep learning models, enhancing … training pipeline, and requires a strong background in PyTorch. Applicants should have a PhD or equivalent experience and deep knowledge of AI technologies. #J-18808-Ljbffr ...

enabled programmable coherent fibre-laser arrays and independent research within a multidisciplinary team. You will combine experimental photonics with numerical modelling and modern machine‐learning/optimisation techniques, exploring deep learning, reinforcement #J-18808-Ljbffr ...

need to succeed: Proficiency in Python and C++ programming; Knowledge of neural networks and familiarity with standard model architectures; Hands‐on experience with popular deep learning frameworks like PyTorch or TensorFlow; Hands‐on experience with common compiler frameworks for neural networks, such as MLIR or TVM; Strong understanding … optimizing performance for targeted hardware; Rapid prototyping capabilities for testing new ideas; Strong interpersonal and communication skills. Nice to have: Experience with a machine learning compiler like IREE, ExecuTorch, ONNXRuntime, or similar compiler backend code generation experience (GCC, LLVM, etc.) Experience with RISC‐V architecture, especially the vector extension ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … success as a Software Engineer, AI Performance Tooling at Wayve, we’re looking for the following skills and experience. Essential Deep, hands‐on performance engineering in complex systems: profiling, roofline analysis, latency and throughput optimization, and root‐causing what limits a workload. A track record of owning a tool ...

Audio Programmer Ltd is seeking a Machine Learning Researcher to join their voice technology team in Paddington, United Kingdom. The role involves researching and developing innovative noise cancellation technologies and implementing deep learning models. Candidates should have a strong background in AI and real-time audio machine … learning, with a PhD or MSc in a relevant field. The position offers a hybrid working arrangement with 2-3 days per week at the Central London R&D centre. #J-18808-Ljbffr ...

systems. Work with C, C++, Python, CUDA, and other low-level GPU technologies. Python and/or C++. PyTorch, JAX, TensorFlow, or another deep-learning library. GPU programming with CUDA, Triton, SYCL, ROCm, or similar tools. Large-scale ML systems, including very large training datasets and low-latency … encouraged to apply. Jump states that it sponsors work visas for full-time positions. Details Role information Location London Job type Graduate Category Machine Learning Company Chicago, United States Global quantitative trading firm combining research, advanced engineering, AI/ML, and high-performance infrastructure across markets and time horizons. ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … offline models that improve data quality and coverage at scale.ð You should apply if: You've built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view ...

Firm XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues … have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing well ...

deploy advanced satellite servicing technologies and is set to deploy its first space mission by 2026. Lúnasa is also backed by world-class Deep-Tech investors. Location: London Salary: Competitive This role is held as hybrid mode of remote and in-person working Job Summary We are looking … fast-paced startup. Role and Responsibilities Strong experience in Computer Vision and image processing Proficiency in Python for CV/ML applications Experience with deep learning frameworks (PyTorch) Practical experience deploying ML models on embedded or edge hardware Familiarity with Docker and Linux-based development environments Strong software ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars … from the crowd:Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture.Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars … from the crowd: Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures. LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture. Architecture & Design: Demonstrated understanding in the designing and architecting ...

scalable AI solutions with a strong focus on governance and regulatory compliance. The candidate should have a PhD or equivalent experience in quantitative fields, deep learning expertise, and a proven record in building agentic AI systems that operate in regulated environments. #J-18808-Ljbffr ...

field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases. Hold a Ph.D. or other degree in computer science, machine learning, or a related field. Possess experience in safety work for AI model deployment Have an in-depth understanding of deep learning research ...

/NLP We consider candidates across experience levels and lean toward senior engineers who have worked directly with frontier AI systems. Python, deep learning frameworks, or distributed computing are non-negotiable for this role. What you get Founding-team equity and a real say in technical direction ...

technical concepts clearly Proven experience with ROS or ROS2 and/or DDS‐based systems Sensor fusion experience (LIDAR, RADAR, cameras, IMUs) Knowledge of deep‐learning‐based perception systems Experience using simulation tools such as Gazebo, CARLA, or Unreal Engine Familiarity with embedded or real‐time systems Experience ...