8 of 8 Deep Learning Jobs in Scotland

of cybersecurity in one of the UK's most data-rich environments. What you'll do Lead the design, development, and deployment of behavioural anomaly detection models using unsupervised learning, deep learning (e.g. auto-encoders), and novelty detection techniques. Lead a team of Data Scientists Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines … make our Group a great place for everyone. Including you. What you'll need Proven experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and … deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Attitude - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber More ❯

of cybersecurity in one of the UK's most data-rich environments. What you'll do Lead the design, development, and deployment of behavioural anomaly detection models using unsupervised learning, deep learning (e.g. auto-encoders), and novelty detection techniques. Lead a team of Data Scientists Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines … make our Group a great place for everyone. Including you. What you'll need Proven experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and … deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Attitude - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber 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 ❯

or Artificial Intelligence, Software Development Job Id 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 ❯

applications. This role will build and define strategy focusing in 3 areas: safe adoption, understanding attacker use, and using to tackle security challenges. The ideal candidate will have a deep understanding of AI technologies and cybersecurity, with a consistent track record in leading teams and projects in this domain. What You'll Do Lead and shape AI security team … or a related field. Demonstrable experience in cybersecurity, with time spent focusing on identifying vulnerabilities in AI systems to improve their security. Extensive knowledge of AI technologies, including machine learning, deep learning, and neural networks. Solid understanding of cybersecurity principles, including encryption, authentication, access control, and network security. Experience with security frameworks and standards such as ISO More ❯

applications. This role will build and define strategy focusing in 3 areas: safe adoption, understanding attacker use, and using to tackle security challenges. The ideal candidate will have a deep understanding of AI technologies and cybersecurity, with a consistent track record in leading teams and projects in this domain. What You'll Do Lead and shape AI security team … or a related field. Demonstrable experience in cybersecurity, with time spent focusing on identifying vulnerabilities in AI systems to improve their security. Extensive knowledge of AI technologies, including machine learning, deep learning, and neural networks. Solid understanding of cybersecurity principles, including encryption, authentication, access control, and network security. Experience with security frameworks and standards such as ISO 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 ❯

across STEM sectors, helping them to Outpace tomorrow, together. What are the key expectations of this role? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts … data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts. Conduct … Defines security procedures to be followed, and delegates tasks at the appropriate level. Skills, Knowledge & Experience ... Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. More ❯