226 to 250 of 341 Deep Learning Jobs in London

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You’ll be part … testing data.Quant Analysts Must Ideally Have:Comp Ski, Maths, Stats or Engineering degree.Outstanding background in probability and statisticsExperience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical modelsProgramming experience with python, julia or RYou will be joining a progressive and exciting ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn … Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/B testing, sample sizing ...

finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams … reference solutions. Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Key responsibilities Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling, benchmarking and tuning large ...

high-impact publication. Shaping the research agenda by identifying high-impact projects that balance scientific rigour with real-world relevance. Contributing thought leadership and deep technical expertise to support wider evaluation and red-teaming efforts. Supporting our positioning as a global leader through active external engagement with frontier labs … from framing novel problems to generating high-quality research artifacts. Passion for technical AI safety, whether developed in academia, industry labs, or evaluation roles. Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access. Strong foundation in machine learning fundamentals, particularly ...

maintain evaluation benchmarks that measure pipeline quality against ground truth What you'll bring Advanced degree (MS/PhD) in Computer Science, Machine Learning, or a related field, or equivalent research experience Track record of research contributions — published papers at venues like CVPR, ICCV, NeurIPS, ICLR, SIGGRAPH, or CoRL … meaningful signal Deep expertise in at least one of: computer vision, generative 3D models, 3D deep learning, or robotics/embodied AI Strong experience designing benchmarks, evaluation protocols, and reproducible experiments Proficiency in Python and ML frameworks such as PyTorch The ability to work from first principles ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … oral presentation skills, that engages internal and external audiences Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands‐on experience in customer behaviour analytics, marketing, commercial … communicate complex ideas clearly to senior client stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...

Models Specialist! This position is part of the WWSO Startup team in EMEA, where you will support the latest generation of FrontierAI Startups going-deep with customers to understand their AI Model usage (both custom and Open Weight), support training and large inference workloads, drive patterns with … account sales teams and customer success roles. We are technology specialists, who work backwards from our customers’ most complex, business-critical problems to dive-deep and guide customers through technical expertise, joint with building and executing go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc. Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end‐to‐end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non‐technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently across … software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance Optimization Use hardware-specific toolkits to optimize model throughput without ...

digital health technologies, and AI-driven clinical innovation. The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image … research collaboration, particularly with clinical or biomedical partners Ability to contribute to research strategy and funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python ...

Senior ML Research Engineer Application Deadline: 19 October 2026 Department: Machine Learning Employment Type: Full Time Location: London Compensation: £85,000 - £105,000/year Description Biological data is noisy, high-dimensional, and shaped by the experimental process as much as by biology itself. We are hiring a Senior … timeline for hiring this role: Now until October 19th: Accepting applications October 26th: Planned start for interviews Responsibilities Design and train novel machine-learning models for messy multi-omic data, including metagenomics, metabolomics and 16S, grounded in a strong understanding of biological systems. Own research questions ...

working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior MLOps Engineer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments. The company specialises in computer vision, perception and autonomy, combining modern deep learning … infrastructure that takes advanced AI and computer vision models from research through to reliable production deployment. You will bridge the gap between Machine Learning research and operational delivery, ensuring models can be trained efficiently, deployed reliably and monitored effectively. This is a hands-on engineering role covering distributed training ...

dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.### **Who we're looking for:*** Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. … workloads.### **Qualifications:*** 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.* Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).* Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).* Understanding of common LLM architectures ...

Cross, London. Key Responsibilities: Frontier Technical Breakthroughs Develop ViT and multimodal large model architectures with improved reasoning and efficiency Advance multimodal alignment, representation learning, and long-context modelling Explore scalable training methods for large multimodal models Optimize model architectures for generalization and performance Data Ecosystem Construction Process large-scale … above in Computer Science, Mathematics, Statistics, or related technical disciplines. Technical Skills: Proficient in Python programming with strong hands-on experience in PyTorch and deep learning frameworks. Core Competencies: Strong algorithm development and implementation skills, solid mathematical and logical reasoning ability, and excellent cross-functional communication and collaboration ...

feature or writing scripts to analyse performance bottlenecks. You're starting a journey where problems are often ambiguous, priorities shift quickly, and learning from more experienced colleagues will accelerate your growth significantly. To succeed as a Mid-Level RAD Engineer, you will be a proponent of agile principles … feedback. Self-directed learner: You take ownership of understanding the Aquis platform and trading technology. You read code, ask questions, and invest in deep learning without constant prompting. Good team player: You collaborate well across teams, take feedback constructively, and help colleagues succeed. Autonomous but seeks guidance wisely ...

member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics. We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every … novel models to production. Publish Your Work - Publish and present your work. What You'll Bring A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues. Substantial expertise in robotics or embodied AI, including experience ...

will advance research toward a safe, medically licensed agentic system for triadic care, deployed to doctors and health systems globally. Our team blends deep learning and reinforcement learning to tackle high-impact medical challenges, with a focus on safe, scalable AI for real-world health outcomes ...

whether papers, product releases, open‐source contributions, or other artifacts. 3+ years of software engineering experience, including familiarity with Python and at least one deep learning framework. Experience using the latest coding agents, and opinions about optimal workflow. Enthusiasm for experimental organizational design. AI‐pilled: adopting agents, keen … discipline. Contribution to a well‐cited work in AI for Science writ large (e.g., ML to predict protein structure, neural weather forecasting systems, reinforcement learning for materials discovery, or causal models for financial risk prediction). Hands‐on experience using AI agents to automate parts of the scientific workflow ...

strong numerical and communication skills, turning data into insights and ideas into real‐world impact. You’ll have meaningful ownership from the start, while learning from talented colleagues across the business. It’s No Surprise We’re One Of The UK’s 100 Most Loved Workplaces. … Risk Lab The management of risk is an area where we see huge potential benefit from the application of large language models and associated deep learning techniques. You will apply your analytic skills to a wide range of challenges from across the business such as customer experience, financial ...

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 … enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems. Key job responsibilities As a Data Scientist ...