451 to 475 of 481 Permanent Deep Learning Jobs

evaluation harnesses. Expect drift monitoring, automatic retraining loops, and fine-tuning/distillation for high-volume LLM paths, applying both classical ML and modern deep learning approaches with a strong emphasis on #J-18808-Ljbffr ...

London. This role involves enhancing model efficiency, analyzing performance bottlenecks, and implementing optimizations for neural networks. The ideal candidate has significant experience in deep-learning systems, custom kernels, and GPU architecture, while contributing to innovative robot technology. Coming with competitive benefits including private healthcare and equity ownership, this ...

Jane Street is seeking smart and curious individuals to join its growing ML team to build deep learning models powering its trading strategies, supported by a massive GPU cluster. You will work on large models and nonstationary datasets in a high-performance, multi-agent environment. You'll apply ...

licence (required) Focal Systems is the industry leader in retail AI solutions. Our mission is to automate and optimise brick-and-mortar retail using deep-learning computer vision. Focal has been deployed at scale with the top retailers in the world. We are looking for smart, creative ...

Paragon Alpha seeks an experienced Quantitative Developer to join a systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading, developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live … trading signals. You'll develop and optimise classical and deep learning models, improve distributed computing and large-scale parameter searches, and build #J-18808-Ljbffr ...

producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long‐term bets aimed at improving the efficiency and capability of future generations of models. … Relevant interests may include areas such as architecture design, long‐context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands‐on empirical approach. A good fit for this role will ...

producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long‐term bets aimed at improving the efficiency and capability of future generations of models. … Relevant interests may include areas such as architecture design, long‐context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands‐on empirical approach. A good fit for this role will ...

HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance … Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries ...

HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance … Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries ...

will define data needs for AI models, ensure high-quality ground truth, and validate foundational model success with rigorous evaluations. You will work with deep-learning, engineering, and translational teams to shape data requirements, provenance, and performance, contributing across the data lifecycle and ensuring reproducibility. #J-18808-Ljbffr ...

cluster and petabyte-scale storage, supporting neurobiology research from molecules to organisms. You will install, upgrade and document systems, assist users with deep learning workflows, and lead infrastructure projects in collaboration with the Head of Scientific Computing. #J-18808-Ljbffr ...

large and mid-market organisations. London-based roles work from the office three days a week, with the rest remote. You will work on deep learning models, including transformers, and translate complex technical concepts into business value for customers and stakeholders. #J-18808-Ljbffr ...

慨正橡扯 in Welwyn is looking for a Senior Data Scientist to join their Data Science team, focusing on applying deep learning and statistical methods to solve complex business problems. The role involves modelling, prototyping, and deploying data products at scale, with a strong emphasis on innovation and collaboration. ...

Disney Cruise Line – The Walt Disney Company is seeking a FaceSwap Artist to join our growing visual effects team. You will apply deep learning based techniques to produce photorealistic faces and likenesses, using open source tools and in-house software, within a shot context. The role suits someone ...

state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Our Perception Engineers are instrumental … degree; or 7 years with a PhD; or equivalent work experience. Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. Familiarity ...

optimisation of our point-cloud-based perception capabilities for real-world industrial environments. You will work at the intersection of LiDAR, 3D perception, deep learning and real-time autonomous systems, delivering robust pipelines and de-risking new ideas for scalable operations in dynamic industrial settings. #J-18808-Ljbffr ...

continued development of a range of technologies, a scientific technology development company, based in Cambridge, are currently looking for a skilled and experienced Machine Learning Expert who will be able to apply a unique Machine Learning approach on life improving technologies.In the past you would have applied your … Machine Learning techniques to a range of different applications. These could include deep neural networking, statistical signal processing, artificial intelligence, data science, machine learning or other complex fields.As you will be applying your development skills to a number of areas, we are happy with your software skills ...

experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. … mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you'll be doing: Develop and improve core generative models for graphics ...

world of game play and live streaming via advanced R&D. VCG's mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What … work with other teams within Sony Interactive EntertainmentWhat we're looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post5+ years of experience in demonstrable ...

research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools ...

client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions - spanning classical machine learning, generative AI, and agentic systems - ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives … into a unified, enterprise-ready system Build the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt-over-build stance Conduct deep-dive architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts - blueprints, reference architectures, ADRs ...

systems thatprice and trade financial instruments. You’ll workside by side with experienced researchers who arecommitted to teaching, guiding, and supporting ournewest hires, learning how we think aboutexperiment design, dataset generation, time seriesanalysis, feature engineering, and model buildingfor financial datasets. At Jane Street, our researchers, engineers, andtraders … size-fits-all”modelling solutions; we are open to and excitedabout applying all different types of statisticaland ML techniques, from linear models to deeplearning, depending on what best fits a givenproblem. The most successful researchers will bedriven by a curiosity for how their contributionsfit into the larger picture ...

client. Our client is a is a recently founded technology business that seeks to improve the way projects are delivered, using the power of deep learning. They are funded by well known names in the PE space. My client is all about making construction more predictable via a comprehensive … understanding of plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules. They’re working on some of the largest infrastructure projects in the world, which means having the opportunity to have true impact on the world around us. ...

/ML services, data annotation, data collection, or language technologies; Experience working with large technology platforms or enterprise AI customers; Technical fluency in deep learning-based TTS and ASR systems, voice technologies, NLP fundamentals, and model training pipelines; Strong understanding of annotation workflows, dataset management, and model evaluation … within enterprise environments. Flexible working arrangements; Annual leave plus public holidays; Private healthcare options; Life assurance and income protection coverage; Professional development support and learning opportunities; International exposure across global teams and clients; A collaborative, people-first culture within a growing global organization. #J-18808-Ljbffr ...

client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions spanning classical machine learning, generative AI, and agentic systems ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives … into a unified, enterprise-ready system Build the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt-over-build stance Conduct deep-dive architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts blueprints, reference architectures, ADRs ...