351 to 375 of 509 Deep Learning Jobs

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 ...

coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack … Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building ...

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 ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...

Contribute to scientific strategy, technical standards, code quality and knowledge sharing across the team. Essential Skills: MSc or equivalent experience in computer science, machine learning, artificial intelligence, statistics, mathematics, physics or another highly quantitative discipline Demonstrated experience developing, fine-tuning, evaluating or deploying modern AI systems, including foundation models … large language models, multimodal models or deep learning approaches. Proven ability to rapidly assess emerging AI techniques and apply them to real-world scientific and industry challenges. Advanced Python skills and experience producing clear, tested, reproducible analytical code using collaborative version control. Contributions to open-source AI projects ...

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 ...

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 ...

Department of Computer Science seeks to strengthen and expand its research in AI & Machine Learning through the appointment of a Lecturer or Senior Lecturer in AI/Machine Learning. The successful candidate will be expected to grow a world-leading research portfolio in an area of their choice, contributing … Computer Science at both undergraduate and postgraduate levels.The role offers scope to develop research in areas including, but not limited to, causal modelling, reinforcement learning, game theory, AI for Science, AI with human-in-the-loop, decision-making for complex systems, optimisation for LLMs, foundation models, dimensionality reduction, deep ...

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. ...

make forecasts and develop profitable predictive trading models. What you will do We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing … ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ...

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 ...

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 ...

efficiency. Education & Certifications Degree Qualified or demonstratable Azure environment experience. Key Skills & Technologies Programming & Frameworks: SQL, NoSQL,FastAPI, Git & MSPowerAppSuite AI: Classification, Regression, Clustering, Deep Learning, Time Series, LLM Agents, RAG Cloud & Deployment: Azure AI, Databricks. Data Visualization: Power BI, Excel, Copilot Studio Our Culture ...

forwardRequired qualifications, capabilities, and skillsAdvanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etcRobust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in applicationExperience in tackling real world data science problems, end-to-end from prototype … production, using PythonExcellent communication skills (both verbal and written) and the ability to present findings to a non-technical audiencePassion for learning, sharing knowledge, building collaborations, and getting things donePreferred qualifications, capabilities, and skillsParticipation in KDD/Kaggle competition, Hackathons or contribution to GitHubYou demonstrate hands-on experience ...

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 ...

Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international football and deliver … insights to a wide range of stakeholders. Leveraging their technical expertise, the Research & Development Data Scientist will design, train and validate statistical and machine learning models, working closely with stakeholders to ensure cutting-edge, data-driven insights are effectively communicated and embedded into decision-making. Whatwill you be doing ...

Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international football and deliver … insights to a wide range of stakeholders. Leveraging their technical expertise, the Research & Development Data Scientist will design, train and validate statistical and machine learning models, working closely with stakeholders to ensure cutting-edge, data-driven insights are effectively communicated and embedded into decision-making. What will ...

foundations, working directly with the CEO/CTO to formalise the platform's theoretical basis, review quantitative approaches, and co-author peer-reviewed papers. Deep fluency in linear algebra, vector spaces, statistics, probability, and AI is central to the role. This is a fractional advisory engagement at approximately … open questions, select methodologies, and position contributions within the existing literature. Engage with relevant prior work in areas such as knowledge graph embeddings, statistical learning theory, multi-criteria decision analysis, and AI safety. Required Skills & Experience Degree in Mathematics, Physics, or Computer Science at MSc or PhD level — with ...

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 ...

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 ...