176 to 200 of 331 Deep Learning Jobs in London

harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … group priorities. Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … group priorities. Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science ...

should be building worlds, not chasing bugs. We're replacing manual QA with autonomous agents that truly understand gameplay. Our small, focused team combines deep machine learning research with strong commercial execution, driven to solve some of the hardest problems in game development. Just over a year … CLIP, Flamingo) from scratch or checkpoints. You know exactly what happens inside the transformer block. Build for the Real World You have successfully deployed deep learning models into production environments where latency and cost matter. You understand the brutal reality of trade-offs between model size and inference ...

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 … critical model artifacts, and embed seamless security controls directly into distributed training and inference infrastructure. You will serve as the technical anchor bridging machine learning engineering, platform architecture, and adversarial defense. Operating in a fast-moving, high-stakes environment, you will lead AI-specific incident response and pioneer model ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data … customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical ...

proof-of-concepts Collaborate with business and technology teams to identify high-value use cases Drive innovation through experimentation, knowledge sharing, and continuous learning Help define best practices, technical standards, and reusable patterns for AI development across the organization Develop agentic AI workflows using orchestration frameworks such as LangChain … impact AI opportunities Stay up to date with advancements in AI, foundation models, and autonomous agents Требования 5+ Years of experience in AI, Machine Learning, Data Science, or related fields Strong Python skills and experience with PyTorch, TensorFlow, and Hugging Face Experience taking AI proof-of-concepts from idea ...

looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.This innovative role focuses … developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping ...

team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills and a results-oriented mindsetExcellent communication skills and ability to work in a collaborative environmentCare about the societal impacts of your ...

hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You'll DoArchitect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)Design agentic workflows enabling … cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation ...

Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care ...

looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This … innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products ...

Overview We are seeking a Clinical Scientist with a background as a physician‐scientist in oncology to join our multidisciplinary Artificial Intelligence and Machine Learning (AIML) team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering AIML advancements … strong track record of scientific publication and research in a relevant field. Preferred qualifications and skills Computational Fluency: Solid understanding of data science, machine learning, and large language models. A fast learner with curiosity for new technologies and their clinical applications. Systems Thinking: Ability to approach clinical problems ...

seeking a Clinical Scientist with a background as a physician-scientist in oncology to join our multidisciplinary Artificial Intelligence and Machine Learning (AIML) team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering AIML advancements, setting our team … field. Preferred qualifications and skills If you have the following characteristics, it would be a plus: Computational Fluency: Solid understanding of data science, machine learning, and large language models. A fast learner with curiosity for new technologies and their clinical applications. Systems Thinking: Ability to approach clinical problems ...

implement models for detection, classification, prediction, and feature extraction. Work with large-scale, often unlabelled datasets and apply self-supervised and semi-supervised learning techniques to build robust models. Adapt and fine-tune foundation models, with techniques such as active learning for domain specific challenges in maritime AI. … stakeholders. What we look for! You have a degree in Computer Science, Mathematics, or a related field. A PhD or research background in Machine Learning or underwater sensor processing algorithms is a strong plus. You have evidence of hands-on experience in AI and Machine Learning. ...

Experience & Personal Attributes We're looking for someone who has come up through data science, with a track record of applying data science, machine learning and GenAI workflows to solve real business problems and taking models into production, and who has gone on to lead engineers and deliver multiple … experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep ...

supporting all of Liberty Global' s AI-related efforts from a security standpoint and ensuring the technical security and integrity of AI and machine learning systems within the organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls … relevant stakeholdersESSENTIAL SKILLS & ABILITIES:Proven experience in Security Architecture or similar team(s), with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, best practices and standards, algorithms, models, frameworks, regulations and controls. Extensive experience in technical security controls, security principles, AI/ ...

engineering and product delivery. You will be responsible for designing, implementing and maintaining our multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive … processing large-scale, high-dimensional datasets, ensuring efficient data loading and manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical ...

even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands‐on experience with … machine learning algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ...

open-ended ML research, model design, tooling, and infrastructure from concept to production. For PhD and postdoctoral researchers working on open-ended machine-learning problems from research through production. What Jump looks for Strong publications at venues such as ICML, ICLR, AAAI, NeurIPS, UAI, or KDD, and/… meaningful open-source AI research contributions. Strong machine-learning background, including modern deep learning and/or language-model architectures such as transformers and state-space models. Strong Python and/or C++. PyTorch, TensorFlow, and/or JAX. Strong quantitative reasoning, collaboration, and communication with trading ...

strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com … Analytics**Certifications -**Certified Business Analysis Professional (CBAP) - Upgrad, Microsoft Certified: Power BI Data Analyst Associate - Microsoft, PRINCE2 Practitioner - PeopleCraft, Project Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka**Required Skills -**Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks ...

insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role … features and factors from telematics data. Develop and maintain end-to-end pipelines in Python and SQL, ranging from simple heuristics to complex machine learning models. Build robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers,Data Scientists, and Product Managers to implement features ...

Summary The Senior Research Scientist sits on DeepHealth's ML Capabilities team and advances research in machine learning for medical imaging, with a focus on foundation models in radiology AI. This role designs novel model architectures, develops experimental systems to test research hypotheses, and helps translate research into solutions … Responsibilities Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme. Track and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging. Design and prototype novel model architectures for multimodal medical imaging data. Develop experimental systems ...