26 to 45 of 45 Deep Learning Jobs in Scotland

senior hires in Cloud, Digital, Intelligent Automation and AI. But we aren’t interested in technology for the sake of technology – we combine the tech mindset with EY’s deep business and regulatory knowledge in order to deploy technology intelligently to solve business problems. We are always mindful of the role we and our clients play in relation to … Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Integration architecture Testing/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge … Google would be beneficial) Experience of handling information security and privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. An appreciation of Artificial Intelligence and Machine Learning Academic And Prior Experience A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an More ❯

global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs … reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design algorithms for chip optimization and intelligent systems • Collaborate with engineering teams to integrate AI into real-world tools • Stay current on AI trends and contribute to open research Requirements: • PhD or equivalent experience in ML, AI, CS … physics, or mathematics • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks #J-18808-Ljbffr More ❯

world? This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with Big Data, Machine Learning, and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon's customers. More about the role: Our organization is growing our focus on … an Amazon-critical charter. This team will need to deliver experiences that delight customers and create long-term value for the company. This role requires good technical skills, a deep understanding of machine learning approaches, and a passion for melding ML with great user experience/design. You must have a demonstrated ability for optimizing, developing, launching, and … production systems. As a key member of the team, you will oversee all aspects of the software lifecycle: design, experimentation, implementation, and testing. You should be willing to dive deep when needed, move rapidly with a bias for action, and get things done. You should have an entrepreneurial spirit, love autonomy, know how to deliver, and long for the More ❯

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning … in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD in computer science, machine learning, engineering, or related fields - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Material contributions to the CV/ML/AI More ❯

is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and … customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but … not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such More ❯

QA, multi-agent collaboration, and AI developer tools. Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support. Requirements: PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED: Knowledge engineering technologies … RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields like KDD, ISWC, ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI, IJCAI, WWW, KR. Excellent software … design and coding skills. Strong problem-solving, and excellent verbal and written communication skills. Desirable Experience: Experience of LLM based agent. Knowledge of various reinforcement learning (POMDP, Imitation Learning, etc.) and deep learning (word embedding, LSTM, GAN, Pretrained models etc) algorithms for NLP. Knowledge of building large-scale knowledge graphs, especially reasoning and inference engine on More ❯

QA, multi-agent collaboration, and AI developer tools. Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support. Requirements: PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED: Knowledge engineering technologies … RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields like KDD, ISWC, ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI, IJCAI, WWW, KR. Excellent software … design and coding skills. Strong problem-solving, and excellent verbal and written communication skills. Desirable Experience: Experience of LLM based agent. Knowledge of various reinforcement learning (POMDP, Imitation Learning, etc.) and deep learning (word embedding, LSTM, GAN, Pretrained models etc) algorithms for NLP. Knowledge of building large-scale knowledge graphs, especially reasoning and inference engine on More ❯

QA, multi-agent collaboration, and AI developer tools. Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support. Requirements: PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED: Knowledge engineering technologies … RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields like KDD, ISWC, ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI, IJCAI, WWW, KR. Excellent software … design and coding skills. Strong problem-solving, and excellent verbal and written communication skills. Desirable Experience: Experience of LLM based agent. Knowledge of various reinforcement learning (POMDP, Imitation Learning, etc.) and deep learning (word embedding, LSTM, GAN, Pretrained models etc) algorithms for NLP. Knowledge of building large-scale knowledge graphs, especially reasoning and inference engine on More ❯

QA, multi-agent collaboration, and AI developer tools. Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support. Requirements: PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED: Knowledge engineering technologies … RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields like KDD, ISWC, ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI, IJCAI, WWW, KR. Excellent software … design and coding skills. Strong problem-solving, and excellent verbal and written communication skills. Desirable Experience: Experience of LLM based agent. Knowledge of various reinforcement learning (POMDP, Imitation Learning, etc.) and deep learning (word embedding, LSTM, GAN, Pretrained models etc) algorithms for NLP. Knowledge of building large-scale knowledge graphs, especially reasoning and inference engine on More ❯

production-ready applications across AI development tools, QA systems, and assistant use-cases Contribute to core algorithm development and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding and software design skills Experience working across research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers …/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this Research Engineer position, please send a CV to ts@eu-recruit.com By applying to this role you understand that we may collect your personal data More ❯

production-ready applications across AI development tools, QA systems, and assistant use-cases Contribute to core algorithm development and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding and software design skills Experience working across research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers …/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this Research Engineer position, please send a CV to ts@eu-recruit.com By applying to this role you understand that we may collect your personal data More ❯

production-ready applications across AI development tools, QA systems, and assistant use-cases Contribute to core algorithm development and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding and software design skills Experience working across research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers …/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this Research Engineer position, please send a CV to ts@eu-recruit.com By applying to this role you understand that we may collect your personal data More ❯

production-ready applications across AI development tools, QA systems, and assistant use-cases Contribute to core algorithm development and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding and software design skills Experience working across research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers …/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this Research Engineer position, please send a CV to ts@eu-recruit.com By applying to this role you understand that we may collect your personal data More ❯

to satisfy our customers' all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark … billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Senior Manager, Applied Science to tackle ambiguous problems … in the areas of data processing, machine learning algorithms and distributed systems of cloud-scale. You are expected to take ownership, dive deep and drive solutions from developing prototypes, doing experiments, design to coding, testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams More ❯

Type: Full-time and Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Type: Full-time and Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

integrate histology, single-cell RNA sequencing, and spatial omics data to predict prostate cancer metastasis. The role involves collaboration with Dr. Ke Yuan and Professor Hing Leung, focusing on deep learning, medical imaging, and spatial omics data analysis. Main Duties and Responsibilities Plan and conduct research aligned with project goals and strategies. Document research findings, analyze data, and … engage in professional development. Contribute to the university’s international profile and strategic goals. Qualifications and Experience Essential: Honours degree (SCQF Level 10) in a relevant field, knowledge of deep learning for medical imaging/omics, programming skills in Python, experience with TensorFlow/PyTorch, strong communication skills, and research experience. Desirable: PhD (or near completion), experience with More ❯

in the EU Headquarters in Luxembourg (alternatively: Barcelona or Berlin or London), designed to maximize interaction with the team and stakeholders. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead complex time-bound, long-term … in leadership to invest in programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization … and approximation algorithms. We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making. We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work closely with Amazon scholars and experts from Academic institutions. We code our prototypes to be More ❯

product ranking in Search. This role offers a compelling mix of technical innovation, leadership, and people management. You will lead a team of scientists and engineers to build Machine Learning solutions to address business critical needs. You will work closely with customers, product and program managers, other engineering managers, and tech leads to understand what you need to build. … in this role. Your team’s work is highly visible to senior leadership and directly impacts multiple organization goals and beyond. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software … systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please More ❯

c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and … a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep … ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key Job Responsibilities We are looking for a sharp, experienced Application Engineer (AE More ❯