476 to 485 of 485 Deep Learning Jobs

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 ...

experience in NLP and large-scale data analysis. You will work in a multidisciplinary, highly technical team to apply scalable data mining and machine learning techniques, including kernel methods and deep learning. Responsibilities include translating business needs into technical requirements and leveraging distributed computing tools such ...

retention.6. Collaborate with the Engine/Agent teams to define standardized interfaces for controllable signals.7. Drive the joint optimization of controllable generation and Reinforcement Learning post-training.Who We Look For1. Ph.D. in AI-related fields, focusing on Computer Vision/Deep Learning.2. Proficient in conditional generation models ...

London AreaMachine Learning Research ScientistBuild the intelligence that helps robots understand and interact with the physical world.We’re looking for a Research Scientist to join an early-stage UK startup working at the intersection of machine learning and robotics.This is a highly research-driven role. You’ll explore … approaches to robot learning, vision-language-action models and world models, with the opportunity to test your ideas on real robotic systems.The roleResearch and develop new approaches to Physical AITrain and evaluate VLAs, world models and robot learning systemsExplore new architectures, training techniques and data strategiesInvestigate how models ...

paths. Requirements 4+ years shipping ML in production. Strong Python; solid SQL; comfortable with Docker and cloud infra. Fluent in classical ML and modern deep learning. Understand experiment design, offline vs online eval, and causal traps. Right to work in the UK. #J-18808-Ljbffr ...

000London AreaMachine Learning Research ScientistHelp define the research agenda for Physical AI from day one. We're hiring a Founding Research Scientist for an ambitious UK startup building the models that will enable robots to understand, learn and act in the real world. You'll tackle open-ended research … across robot learning, vision-language-action models and world models - developing new ideas, testing them on real robotic systems and turning promising research into working technology. What you'll doLead research across robot learning, VLAs and world modelsDevelop new model architectures, training methods and data strategiesExplore how models ...

profile 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.My client are 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.What you’ll do:– Design and build new features on our analytics platform ...