326 to 350 of 414 Deep Learning Jobs in England

close earlier depending on application volumes. What we can offer you: 10 week placement: Starting June 2027, that allows you to apply your university learning to real-world projects and technologies Perform well on your placement and you could secure a graduate role before your final year Pension: Maximum … guide your own research project, and have exposure to many different projects, in different areas within the department. This means that the learning opportunities are huge, and by the end of the placement you will have a broad-range of hugely applicable experience. You will have the opportunity ...

Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments. You’ll work alongside AI researchers, software engineers and technical leadership to take cutting-edge … machine learning research from R&D through to reliable, production-ready systems. The role offers the opportunity to work on challenging AI applications deployed across both large-scale cloud environments and edge platforms. What will the Senior MLOps Engineer be doing? You will design, build and maintain the infrastructure ...

understanding of platform, DevOps and systems engineering. They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they'll want to hear about them. A STEM background is beneficial ...

that actually forecast how a system will behave Hands-on GPU/accelerator code optimisation, CUDA or similar Genuine understanding of how LLMs and deep learning models run on real hardware, training versus inference, matrix multiplication, KV-caching, that level of detail Comfortable in profiling tools like Nsight ...

recent master's graduates with directly relevant coursework will also be considered A genuine, demonstrated grasp of computer architecture fundamentals and how LLMs and deep learning models actually run on hardware, training versus inference, matrix multiplication, KV-caching Real experience building performance models or forecasting tools, Python ...

growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical … Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance ...

leading financial services firm is seeking an Applied AI ML Director specializing in NLP and LLM. The role involves developing machine learning solutions, collaborating with diverse teams, and driving innovative projects using cutting-edge techniques. Candidates should hold a PhD in a quantitative discipline and possess solid experience … deep learning frameworks and analytics. This is a unique opportunity to influence data-driven decision-making in a prominent organization, dedicated to fostering a highly collaborative work environment. #J-18808-Ljbffr ...

J.P. MORGAN is seeking an NLP/LLM Scientist – Applied AI ML Lead to advance the Machine Learning Center of Excellence. You will tackle NLP, LLMs, and recommendation systems with deep learning methods. You will work with Business, Technology, Product, Legal, and Compliance to deploy robust ...

Markets is a leading algorithmic trading firm which uses state‐of‐the‐art machine learning technology to produce price forecasts for over 50,000 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 over ...

transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process … strategy and roadmap for Traffic Quality solutions, including invalid traffic detection, prevention, and measurement systems.- Drive technical innovation in fraud detection methodologies, leveraging machine learning, ad forensics and device attestation.- Lead cross-functional teams to develop and implement sophisticated invalid traffic detection mechanisms.- Define and oversee product metrics, focusing ...

ability, particularly in Python. Experience building ML infrastructure, ML platforms, MLOps or distributed systems in production. Strong understanding of the lifecycle around modern machine learning systems — data, training, evaluation, deployment, inference and monitoring. Experience working with GPU workloads and an understanding of the performance and reliability challenges surrounding them. …/KubeRay or similar ML-serving infrastructure. Experience designing distributed GPU training or inference systems. Experience with PyTorch, JAX or other scientific/deep-learning frameworks. Experience with large-scale data ingestion and research-data platforms. Experience building self-service ML platforms or tooling for Research Scientists. Experience ...

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 ...

Engineer to build and scale AI-driven solutions for imagery and video delivery to millions of customers. You will design reliable AI systems using deep learning embeddings and generative AI technologies such as LLMs, collaborating with Studios, ML Engineers and Product teams to shape the next generation ...

Engineering division in London to specialize in LLM fine-tuning, retrieval-augmented generation (RAG), and hosting private models. You will be responsible for tailoring deep learning models to specialized domain tasks. Key Responsibilities Fine-tune open-source models (Llama, Mistral, Qwen) for specific domain functions Optimize model deployment ...

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 ...

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 ...

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 ...

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 ...

Axon is hiring a Machine Learning Scientist to lead development of LLM/MLLM and computer vision solutions for law enforcement and beyond. You will design, implement, and optimize models across cloud, devices, and sensors, collaborating with hardware and firmware teams. The role requires deep learning expertise ...

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 ...

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 ...

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 ...

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 ...

turn complex data into actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data‐driven improvements within the insurance domain. The role requires strong ...