51 to 75 of 461 Deep Learning Jobs

Thehumanoid is hiring a VLA Pre-training Engineer (Deep Learning) in London to enhance their AI robotics through training capable policies using deep learning. You will manage complex data processes, partner with teams for data quality, and ensure continuous training cycles. Preferred qualifications include 3+ years … deep learning, proficiency in Python and frameworks like PyTorch/JAX, and effective communication. The role offers 23 days off, private healthcare, and a pension scheme. #J-18808-Ljbffr ...

Capital One Europe is seeking a Lead Data Scientist/Deep Learning Practitioner to lead the development of proprietary deep learning models for underwriting. You will drive the use of multi‐modal data and advanced neural networks to improve predictive power and deliver actionable customer insights. ...

Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.About the role:As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers … production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc.You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the-art AI systems ...

agent orchestration, RAG, prompt engineering, evaluation, fine-tuning, and Model Context Protocol (MCP) integrations.Enterprise-level expertise in AI, ML, and data science — classical ML, deep learning, LLMs and foundation models, statistical and causal inference, and MLOps at scale — sufficient to set modeling and evaluation standards across an organization.Demonstrated … Deployed Engineering-level experience at an AI-native company (Anthropic, Palantir, OpenAI, or similar) or a hyperscaler.Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.#GSK-LISkillsAI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform ...

align and register multiple 3D surface datasets, quantify alignment error, perform surface comparison, and support automated 3D metrology and inspection. Familiar with machine learning and deep learning theory. Designed and deployed machine learning and deep learning models. Why Should You Apply? Health Benefits Referral ...

practical experience. Master's degree in Computer Science or related field is advantageous.3+ years of experience in full-stack software engineering, AI engineering, machine learning engineering, or a related field, including experience deploying software or AI/ML solutions to production.Experience programming in Python and at least one additional … more of the following: agents, multi-agent orchestration, retrieval-augmented generation (RAG), prompt engineering, or evaluation.Experience designing, training, evaluating, or tuning machine learning or deep-learning models using frameworks such as PyTorch or TensorFlow.Experience with statistical analysis, experimental design, or building data pipelines using platforms such ...

practical experience. Master's degree in Computer Science or related field is advantageous.3+ years of experience in full-stack software engineering, AI engineering, machine learning engineering, or a related field, including experience deploying software or AI/ML solutions to production.Experience programming in Python and at least one additional … more of the following: agents, multi-agent orchestration, retrieval-augmented generation (RAG), prompt engineering, or evaluation.Experience designing, training, evaluating, or tuning machine learning or deep-learning models using frameworks such as PyTorch or TensorFlow.Experience with statistical analysis, experimental design, or building data pipelines using platforms such ...

Senior Machine Learning Research Engineer London On-site SC-3A99D9AAB93D220F96C9 The opportunity Join a cutting-edge humanoid robotics team to develop and implement learning-based algorithms for dynamic locomotion and whole-body control. Work with interdisciplinary engineers to create robust, reusable motion capabilities that enable advanced robot movement … interaction in real industrial settings. What you could work on Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors Develop motion primitives using learning-based generative models Apply reinforcement learning, imitation learning, and other learning-based approaches to motion ...

Location: London, Amsterdam or Remote About the Role: Senior Deep Learning Researcher with a strong background in ML, mathematical statistics, and modern DL architectures . You will contribute to cutting-edge research in foundational models, including LLMs, multi-modal, multi-domain, and continual learning frameworks . … Mathematics, or a related field . Published research in A conferences (ICML, NeurIPS, ICLR, AAAI, KDD). Hands-on experience with deep learning architectures and foundational models . Strong programming skills ( Python preferred ). Whilst we carefully review all applications, to all jobs, due to the high volume ...

complex, high-performance engineering systems. You will join a specialist image processing team, working on cutting-edge technologies that combine imaging, computer vision, machine learning and signal processing. Your work will help shape technical solutions, influence design decisions and turn innovative research into practical engineering applications. What you will … doing Researching, developing and evaluating image processing and computer vision algorithms. Applying AI and deep learning techniques to complex technical challenges. Developing solutions for image segmentation, object detection, tracking and classification. Exploring techniques such as optical flow, pose estimation, particle filtering and computational imaging. Working with MATLAB, Simulink ...

complex, high-performance engineering systems. You will join a specialist image processing team, working on cutting-edge technologies that combine imaging, computer vision, machine learning and signal processing. Your work will help shape technical solutions, influence design decisions and turn innovative research into practical engineering applications. What you will … doing Researching, developing and evaluating image processing and computer vision algorithms. Applying AI and deep learning techniques to complex technical challenges. Developing solutions for image segmentation, object detection, tracking and classification. Exploring techniques such as optical flow, pose estimation, particle filtering and computational imaging. Working with MATLAB, Simulink ...

Computer Vision, you'll turn complex scientific imagery into quantitative insights that help us build better quantum processors. Combining classical image processing with deep learning, you'll develop end-to-end analysis capabilities that transform microscopy and metrology data into reliable measurements for process monitoring, scientific investigation … Design, build and maintain computer vision and image-analysis pipelines that transform scientific imagery into reliable quantitative outputs. Develop and apply classical and deep-learning approaches for problems such as defect classification and detection, segmentation, alignment and quantitative measurement. Validate image-analysis methods using appropriate ground truth, performance ...

technical challenges are immense, but the potential impact is transformative. It's Important to Us That You Have Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning Deep expertise in foundation model architectures, with an understanding … Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models. 2. Algorithmic Innovation & Implementation Creative Solutions to Known Bottlenecks Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines ...

solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems … retailers in the world. We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world! About the Role As Director of Operations, UK you will help build and lead the field operations team that installs ...

House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012 and now operating in 90+ … House has always been private‐by‐design. It embraces first‐party advertising and a relentless approach to innovation. RTB House offers end‐to‐end Deep Learning‐powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long‐term demand for a global ...

used by business end-users, and are measured against business KPIs. Under the guidance of experienced team members, you will participate in projects spanning deep learning, large language models and agentic systems, document AI, time series forecasting, reinforcement learning, mathematical optimization, speech and conversational AI, and Graph … including large language models and agentic systems, retrieval-augmented generation, document AI and structured extraction, embeddings and semantic search, tree-based and classical machine learning, time series forecasting, and mathematical optimization. Support agentic and LLM-based pipelines end-to-end: retrieval, extraction, grounding, evaluation against subject-matter-expert ground ...

Principal Machine Learning Engineer Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Greg Daly Description We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into … part of this journey, we are growing our ML team rapidly. The team works end-to-end, from applied R&D to deployment, across deep learning, data engineering, large models and LLM/agentic systems. Our work spans R&D contracts with the MOD and wider government, deploying ...

EngineeringRemote , London,United KingdomCardiff,United KingdomEdinburgh,United Kingdom We are looking for a passionate AI Engineer specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As part of this role, you will work with experienced team members and product managers … design, test, and implement machine learning solutions. Through Meltwater's innovative social listening platform, we ensure our clients never miss any mention of their brand or essential topics across various platforms, automating the entire social listening process. Partner with us and be part of a diverse community that values ...

Paddington, United Kingdom Hybrid working from home and Central London Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies. As part of their audio technology research team, you'll be responsible for: Carrying … research on deep learning audio Evaluating and testing AI and ML models Implementing and training models Model research, implementation, training, evaluation and inference Writing reports and research papers With several products already on the market and thousands of users, this is a great time to join a company ...

which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. Role: At Depop, machine learning is integral to building a safe and trusted marketplace. As a Senior Machine Learning Scientist in the Trust Detection team, you will … design, development, and evolution of machine learning systems that detect and prevent harmful or policy-violating content across the platform. You will work on high-impact trust, safety, and fraud problems such as phishing prevention, counterfeit detection, and identifying prohibited or restricted listings. This role requires operating in ambiguous ...

team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. We are seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving the design … seller creation. Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‐world challenges. Location: Work onsite in London. Minimum Qualifications ...

Postdoctoral Research Assistant in Machine Learning central Oxford We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Visual Geometry Group (VGG), in central Oxford. The positions are associated with two separate research projects funded by Toyota Motor Europe and Amazon, respectively. Each … Dr. João Henriques. Both posts are available for 12 months in the first instance. The Toyota Motor Europe project, RoboSim, involves research in deep learning, at the intersection of reinforcement learning and computer vision, to train effective robotic agents in simulation. The research will focus on developing ...

Knowledge Transfer Partnership (KTP), which is a collaborative project between Compute Maritime Ltd and the University of Southampton. Duties and Responsibilities The Machine Learning Engineer will be required to undertake the following: Translate and embed research into commercially viable solution by managing a series of work packages. Develop … wind-assisted propulsion and rigid sail systems, working with industry stakeholders to validate the tools against practical design requirements. Skills & Experience The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning, AI, Computational Fluid Dynamics, Hydrodynamics ...

ability to work collaboratively in a fast-paced, dynamic environment Good understanding of the foundational principles and practical implementations of statistics and machine learning algorithms such as supervised and un-supervised learning, deep learning, reinforcement learning, etc. Preferred qualifications, capabilities, and skills Strong analytical skills ...

highly motivated Contract Worker to join our research team working on self-improving agentic systems — a cutting-edge area at the intersection of reinforcement learning, LLM post-training, and autonomous AI research agents. We develop agentic systems that improve their own performance over time, combining reinforcement learning … Research Agents Responsibilities Assist in the design, implementation, and evaluation of self-improving agentic systems and AI research agents. Contributes to research on reinforcement learning and LLM post-training methods, including reward design, preference optimization, and RL from execution feedback. Collaborate with senior researchers to explore new approaches ...