276 to 300 of 354 Deep Learning Jobs in the UK

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 ...

work better. You'll report to the Head of AI Research and work closely with researchers covering genomics, computational biology, and large-scale deep learning. You'll also collaborate with the broader platform engineering and data teams across the company. About You PhD in computer science, physics, mathematics ...

contract is fixed-term for 18 months, with the possibility of an extension, subject to funding. You will apply and develop cutting-edge machine learning methods to integrate and analyse multi-omic data to identify disease phenotypes. A key aspect of the role is to bridge research and implementation. … will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks) to detect and analyse tissue architecture components and subtle disease related changes. The postdoctoral researchers will work closely with software engineers and data platform developers ...

will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly … auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories. Deploy and benchmark spatial AI software directly ...

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 ...

Scanpy or Seurat, including MEMBER OF TECHNICAL STAFF, INTELLIGENCE (FUNCTIONAL GENOMICS) CRISPR screen QC such as guide assignment and knockdown efficiency. Statistical and machine learning methods on biological data, including linear and mixed models, multiple testing, and handling batch effects and confounders. Working closely with wet‐lab scientists … HAVE Perturb‐seq or combinatorial‐barcoding single‐cell RNA‐seq, such as Parse Evercode. Image‐based profiling, such as CellProfiler or pycytominer, or deep‐learning image analysis. Multi‐omic integration methods. Workflow managers such as Nextflow or Snakemake, containers such as Docker, and cloud or HPC computing such ...

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. ...

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, and to offer … 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 ...

into production systems. Key qualifications PhD in computer vision, graphics, or a related field; publications at top venues (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS). Deep, hands-on knowledge of modern scene representations, for example Gaussian splats and radiance fields, and the ability to weigh their trade-offs. Research experience … across the reconstruction spectrum, from per-scene optimization to feed-forward models. Deep understanding of multi-view geometry, camera models, and rendering. Strong experience with deep learning frameworks. At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people ...

zones and appropriate operator controls.* Develop computer vision and perception solutions, translating operational and user needs into effective pipelines spanning image processing, deep learning, 3D perception, scene reconstruction and spatial reasoning.* Integrate multimodal data, combining 2D and 3D sensor information to support navigation, inspection, mapping, change detection, object … Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open-source licensing or CI/CD-based testing of robotics and machine learning pipelines. These are helpful additions rather than essential requirements.* Most importantly, we're looking for someone who is curious, collaborative and thoughtful in their ...

zones and appropriate operator controls. Develop computer vision and perception solutions, translating operational and user needs into effective pipelines spanning image processing, deep learning, 3D perception, scene reconstruction and spatial reasoning. Integrate multimodal data, combining 2D and 3D sensor information to support navigation, inspection, mapping, change detection, object … Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open‐source licensing or CI/CD‐based testing of robotics and machine learning pipelines. These are helpful additions rather than essential requirements. Most importantly, we’re looking for someone who is curious, collaborative and thoughtful in their ...

zones and appropriate operator controls. Develop computer vision and perception solutions, translating operational and user needs into effective pipelines spanning image processing, deep learning, 3D perception, scene reconstruction and spatial reasoning. Integrate multimodal data, combining 2D and 3D sensor information to support navigation, inspection, mapping, change detection, object … Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open-source licensing or CI/CD-based testing of robotics and machine learning pipelines. These are helpful additions rather than essential requirements. Most importantly, we're looking for someone who is curious, collaborative and thoughtful in their ...

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 ...

design, build, and operationalize AI/ML solutions for enterprise clients, spanning model selection, data prep, and DevOps/MLOps pipelines. You will tailor deep learning, generative AI, and LLM-based solutions to client needs, work with large datasets, and ensure production-ready outcomes. The role emphasizes collaboration ...

technical direction What we're looking for 5+ years of experience in ML/AI with focus on speech or NLP Strong background in deep learning frameworks (PyTorch, TensorFlow) Experience with transformer architectures and attention mechanisms Track record of deploying ML models to production Excellent communication and collaboration ...

joint training). Experience with full-duplex or streaming spoken dialogue systems and real-time interaction modeling is a plus. Proficient in Python and deep learning frameworks (e.g., PyTorch); experience with distributed training is a plus. Track record of publications at top-tier venues (e.g., ICML, NeurIPS, ICLR ...

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 ...

development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience Must have two or more years work experience building deep learning systems, for any domain: robotics, biology, chemistry, physics, audio, video, recommendations, etc. Experience translating methods between areas of application is highly valued ...

product: visual QA, spatial reasoning, video comprehension, speech and audio understanding You’ll fit right in if you 3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic) Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar … Deep experience with multimodal architectures - you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar) Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modeling - not just for text Experience ...

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 ...

right representation and method for a problem, build it, and then make it better. This is a hands-on role for an engineer with deep reconstruction knowledge and strong coding skills. Responsibilities Advance the quality of 3D reconstruction, from research ideas to working methods. Work across the full range … into production systems. Key qualifications Bachelor's or Master's degree, or equivalent experience, in computer science, computer vision, graphics, or a related field. Deep, hands-on knowledge of modern scene representations, for example Gaussian splats and radiance fields, and the ability to weigh their trade-offs. Hands ...

vision on our manifesto . About the role As an Applied ML Engineer/Scientist, you will apply and adapt Boltz’s foundational machine learning models to real-world drug discovery problems, working directly on projects with external partners. Your focus will be on finding the most effective ways … wants to turn powerful foundational models into reliable, high-impact capabilities for partners and end users. Essentials: Strong hands-on experience applying machine learning to real-world problems, including applied ML in biology, chemistry, or drug discovery. Familiarity with datasets, tools, data formats, and workflows commonly used in computational ...

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 ...

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 over ...