251 to 275 of 341 Deep Learning Jobs in London

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 ...

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 ...

accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them … expanding presence in the Bay Area. The RolePhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high fidelity multi physics simulation through AI inference. We are looking ...

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 ...

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 ...

Researcher, you’ll work across the full research process, from framing the question and choosing the data to building, testing and deploying models. Machine Learning is central to the work, whether you’re extracting signals, forecasting prices or modelling relationships. Our data, compute and production infrastructure let you test … research end to end. That could include: Building models for pricing, forecasting and signal discovery, choosing the statistical, mathematical or Machine Learning methods that best fit the problem. Working across petabytes of market, order-flow and unstructured data to find signals that improve strategies as conditions change. Monitoring models ...

understand requirements and translate them into technical solutions Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement Stay updated with industry trends, emerging technologies, and best practices to enhance product development We’re looking for someone who has: Experience developing … autonomous vehicle solutions for aerospace and defence Experience with the end-to-end development cycle of deep learning models Expertise in subdomains such as modelling, input pipelines, evaluation, deployment, and model optimisation 5+ years of experience building production software using modern software practices Fluency in C++, or fluency ...

Position Summary FaceSwap 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 … compositing is advantageous, artists with visual effects experience in any discipline are encouraged to apply. What You’ll Do Use a variety of deep learning based technologies to produce photorealistic images, including open source tools, and proprietary in house software Create templates to facilitate model evaluation Monitor ...

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 ...

Firm XTX 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 … 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 ...

Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars – Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible. You’ll work … data scientist can use without writing deployment code Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates Building model monitoring ...

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 ...

advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that … engineers to scale foundational models that will transform the biopharmaceutical world as we know it. You will draw upon your existing engineering experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered model and systems performance optimizations, as well as machine 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 ...

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 ...