22 of 22 Deep Learning Jobs in Scotland

Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key … job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering … teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of More ❯

delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner. Minimum Requirements: 6+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with … neural deep learning methods and machine learning PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 15+ years of relevant, broad research experience Deep expertise in Machine Learning Proficiency in programming Core competency in mathematics and statistics Track record of successful projects in algorithm design and More ❯

innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect … Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector … Work with cross-functional team and partners to develop/enhance and package AI offerings and assets for customer-facing discussions In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.) Good knowledge of AI frameworks, tools, and platform such as TensorFlow More ❯

the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands … development and technical confidence. Required Skills & Experience: Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or … lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is More ❯

the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands … development and technical confidence. Required Skills & Experience: Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or … lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is More ❯

the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands … development and technical confidence. Required Skills & Experience: Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or … lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is More ❯

an AI Engineer, you will be responsible for developing, deploying, and optimizing AI models while collaborating with data scientists and software engineers. You will work with technologies such as deep learning, embeddings, vector search, and Generative AI to build robust AI-powered solutions. Key Responsibilities: Develop and optimize AI/ML models with a focus on Generative AI … embeddings, and vector search. Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX. Collaborate with data scientists to integrate AI models into production systems. Maintain and enhance AI pipelines, ensuring efficiency and scalability. Conduct research on the latest AI advancements and implement innovative solutions. Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation … model performance and work on deployment strategies using cloud-based AI solutions. Support MLOps best practices to streamline AI development workflows. Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers. Capable of translating theoretical insights into practical, real-world solutions. Required Qualifications: Bachelor's or Master's degree in Computer Science More ❯

Join to apply for the Audio Machine Learning Engineer role at Cisco Join to apply for the Audio Machine Learning Engineer role at Cisco Please note this posting is to advertise potential job opportunities. This exact role may not be open today, but could open in the near future. When you apply, a Cisco representative may contact you … directly if a relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is our … vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely More ❯

AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … of AI/ML models - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning PREFERRED QUALIFICATIONS Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow More ❯

Java ecosystem trends (e.g., Spring Boot, Cloud Native, JVM advancements), guiding teams on technology adoption. Actively mentor and coach mid-level and junior developers, fostering a culture of continuous learning and skill development. Drive innovation by introducing new methodologies and tools, leading change management initiatives. Foster a highly collaborative team environment, ensuring smooth communication and integration among team members. … of these, we are an organisation that encourages continuous personal development, and are keen to talk with good candidate Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing. Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.). More ❯

Java ecosystem trends (e.g., Spring Boot, Cloud Native, JVM advancements), guiding teams on technology adoption Actively mentor and coach mid-level and junior developers, fostering a culture of continuous learning and skill development Drive innovation by introducing new methodologies and tools, leading change management initiatives Foster a highly collaborative team environment, ensuring smooth communication and integration among team members. … of these, we are an organisation that encourages continuous personal development, and are keen to talk with good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

Social network you want to login/join with: Audio Machine Learning Engineer., Glasgow col-narrow-left Client: Cisco Location: Glasgow, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: a63cf4dd8ef2 Job Views: 4 Posted: 29.06.2025 Expiry Date: 13.08.2025 col-wide Job Description: Please note this posting is to advertise potential job opportunities. … you directly if a relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated team with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing, and Computer Science. Our expertise includes speech enhancement, speech recognition, speech synthesis, and computer vision. What sets us apart is our vibrant and unwavering pursuit of excellence. … Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will develop pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will collaborate with engineers, data scientists, and audio experts to build groundbreaking products that More ❯

you directly if a relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is … our vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work … contribute to the development of next-generation audio software and make a significant impact in the industry. Key Responsibilities: Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate and benchmark the performance of machine learning More ❯

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 ❯

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 ❯

The School of Informatics, University of Edinburgh invites applications for a Post-Doctoral Research Associate in Natural Language Processing and Machine Learning to work with Dr Pasquale Minervini in the Edinburgh NLP Group. The project is funded by Huawei via the Huawei-Edinburgh Joint Lab initiative. The researcher will work on projects involving the design and application of improving … friendly, and supportive environment that integrates various fields of Computer Science and Artificial Intelligence. Your skills and attributes for success: PhD (or near completion) in Natural Language Processing, Machine Learning, or a related discipline. Experience and evidence of effective independent research work within an interdisciplinary team. More broadly, demonstrated ability to plan and execute a research project, solve problems … tier ML and NLP venues (e.g., ACL, EMNLP, NAACL, ICML, NeurIPS, ICLR, AAAI, IJCAI, WWW, KDD, ICDM, and relevant journals). Strong programming skills; experience with Python NLP and deep learning libraries (e.g., HF Transformers, PyTorch, Jax, or TensorFlow). Ability to communicate complex information clearly, orally and in writing, in English. #J-18808-Ljbffr 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 ❯

about working in this innovative market. The role is primarily a 360 recruitment position, focused on placing candidates in top DeepTech companies specializing in Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, and Reinforcement Learning. Logistics and Compensation: Typically 2 days in the Canary Wharf office, with flexibility to reduce to 1 day. Strong base salary, negotiable More ❯